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Conference: ALGECOM (Algebra, Geometry, and Combinatorics) Conference Series
|
NSF
|
09/01/2024
|
08/31/2027
| 49,200 | 16,400 |
{'Value': 'Continuing Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922599'}
|
ALGECOM (algebra-geometry-combinatorics) is a series of biannual one day conferences. The central goal is to promote collaboration and regular interaction among Midwest students and faculty. Both (non-local) senior and early career mathematicians will be invited as speakers. ALGECOM is now a tradition in the Midwest going back to 2009. It has involved over fifty institutions. This grant will fund participant travel to six conferences, the first of which, ALGECOM XXIV is planned to be at the University of Minnesota, Twin Cities. A subsequent edition will occur at The Ohio State University. Both of these venues are new to the series. The conference website is at https://sites.google.com/view/algecom-main/algecom-main.<br/> <br/>Each session of ALGECOM consists of four talks as well as a student poster session. Dissemination of research at the border of algebra, geometry and combinatorics is the main intellectual merit of the series. There is a wealth of Midwest departments with individually small ALGECOM-related research groups. These one-day conferences provide the stimulus for research collaboration among these groups. An effort has been made to encourage the attendance of graduate students, recent graduates, and untenured faculty. In terms of broader impacts, there are ongoing efforts to recruit members of underrepresented groups in mathematics as participants and speakers. These efforts are enhanced by NSF support, as it allows for invitations to mathematicians from a geographically larger region.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/31/2024
|
07/31/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2428573
|
[{'FirstName': 'Alexander', 'LastName': 'Yong', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alexander T Yong', 'EmailAddress': '[email protected]', 'NSF_ID': '000330880', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Peter', 'LastName': 'Tingley', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peter Tingley', 'EmailAddress': '[email protected]', 'NSF_ID': '000513029', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'David', 'LastName': 'Speyer', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David E Speyer', 'EmailAddress': '[email protected]', 'NSF_ID': '000653616', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'ZipCode': '618013620', 'PhoneNumber': '2173332187', 'StreetAddress': '506 S WRIGHT ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'IL13', 'ORG_UEI_NUM': 'Y8CWNJRCNN91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ILLINOIS', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'StateCode': 'IL', 'ZipCode': '618013620', 'StreetAddress': '506 S WRIGHT ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'IL13'}
|
{'Code': '797000', 'Text': 'Combinatorics'}
|
2024~16400
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428573.xml'}
|
Interlayer exciton transport devices using 2D semiconductor heterostructures
|
NSF
|
10/01/2024
|
09/30/2027
| 423,035 | 423,035 |
{'Value': 'Standard Grant'}
|
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
|
{'SignBlockName': 'Prem Chahal', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032920000'}
|
The overarching objective for this project is to realize novel optical and electronic devices using unprecedented spatial control of interlayer exciton (IX) flow and quantum tunneling in two-dimensional (2D) semiconductor heterostructures. An IX is a bound object consisting of an electron and hole that are spatially localized to different layers. Over the past decade, there has been significant interest in controlling IXs for future optical and quantum device applications. The project will develop unprecedented spatial control of IXs for potential applications to high speed and low power consumption optoelectronic devices. Based on the increasing need of computing power and the associated energy demands, the development of novel information processing devices that harness quantum effects at higher temperatures is critical. In addition, this project will train graduate, undergraduate and high school students in the area of nanoscale semiconductor devices which have the potential for revolutionary advancements in quantum information systems. The education and outreach activities focus on promoting diversity in STEM fields by directly recruiting, providing research opportunities and career mentorship for high school students and UA undergraduates working with the University of Arizona’s Arizona Science, Engineering, and Mathematics Scholars Program, and KEYS program. <br/><br/>The proposed project to spatially control IXs is at the state-of-the-art of 2D material device design, fabrication, and applications. The ability to trap IXs at the nanoscale was only recently developed by the PIs’ groups. Building on these recent developments, we will fabricate and optically investigate bilayer semiconducting transition metal dichalcogenide heterostructures with nano-patterned graphene top gates to generate custom potential-energy landscapes to realize unprecedented spatial control of IX flow and tunneling. Very recently, our team has reported evidence of high temperature IX superfluidity, motivating new devices that utilize this quantum phase. The project has two specific research aims: 1) demonstrate spatial control of valley-polarized IX flow, 2) demonstrate IX tunneling across a potential barrier and the equivalent of the Josephson effect in IX superfluid structures. Controlling of IXs will include both the demonstration of a valley-polarization based IX transistor as well as a valley-based filter that makes use of the valley Hall effect. IX currents will enable applications in low energy consumption valleytronic material devices. We will demonstrate the first ever 2D semiconductor based IX tunneling devices based on two IX traps separated by a tunneling barrier. The final goal of this research is to demonstrate Josephson-like IX oscillations which have potential applications in quantum technology devices such as on chip interferometers and gyroscopes.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/31/2024
|
07/31/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428575
|
[{'FirstName': 'Brian', 'LastName': 'LeRoy', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Brian J LeRoy', 'EmailAddress': '[email protected]', 'NSF_ID': '000326874', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'John', 'LastName': 'Schaibley', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': 'IV', 'PI_FULL_NAME': 'John R Schaibley', 'EmailAddress': '[email protected]', 'NSF_ID': '000735879', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'University of Arizona', 'CityName': 'TUCSON', 'ZipCode': '85721', 'PhoneNumber': '5206266000', 'StreetAddress': '845 N PARK AVE RM 538', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arizona', 'StateCode': 'AZ', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'AZ07', 'ORG_UEI_NUM': 'ED44Y3W6P7B9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ARIZONA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Arizona', 'CityName': 'Tucson', 'StateCode': 'AZ', 'ZipCode': '857210081', 'StreetAddress': '1118 E 4th Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AZ07'}
|
{'Code': '151700', 'Text': 'EPMD-ElectrnPhoton&MagnDevices'}
|
2024~423035
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428575.xml'}
|
Multiterminal Graphene Josephson Junctions
|
NSF
|
08/01/2024
|
07/31/2027
| 510,000 | 510,000 |
{'Value': 'Standard Grant'}
|
{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}
|
{'SignBlockName': 'Mun Chan', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927104'}
|
Non-technical abstract:<br/>The research focuses on the development and understanding of a novel type of quantum devices, the “multiterminal Josephson junctions”. Conventionally, Josephson junctions are made of two superconductors – materials in which electric current can flow without resistance – connected through a non-superconducting region. The principal investigator’s team has recently made Josephson junctions with several superconducting regions connected together. The breakthrough became possible by making the non-superconducting region from graphene – a single atomic monolayer of graphite. Graphene is known to be ballistic – in can conduct electrons over large distances without scattering – enabling efficient coupling between multiple superconducting terminals. The project enhances understanding of the multiterminal Josephson junctions, which are both expected to have fascinating physical properties and may eventually find applications in future quantum devices. The research also contributes to training of students on all levels in quantum nanotechnology. The project includes outreach in the local community, with a special focus on broadening the participation of underrepresented groups in STEM.<br/><br/>Technical abstract:<br/>This project builds on the recent progress achieved by this research team and other groups in making multi-terminal Josephson junctions. One of the central themes of this work is the analogy between the Andreev bound states in a multiterminal Josephson junction and the band structure of a crystal. In particular, it has been predicted that multiterminal Josephson junction could be used to emulate topologically nontrivial bands containing Weyl points. These bands can be explored to search for the predicted topological signatures, such as the quantized transconductance. The project further aims to look for the predicted topological contributions to the multiplet resonances. Finally, the team plans to explore the physics of the “Josephson triode” – a tunable superconducting diode recently realized in this type of samples – with a particular focus on its topological properties. Multi-terminal Josephson junctions have been touted as “synthetic topological matter” which should offer new insights into the role of topology in condensed matter systems. The project intends to enhance our understanding of these structures, which is relevant to a whole class of hybrid superconductors samples. The multi-terminal Josephson junctions are both expected to have fascinating physical properties and may eventually find applications in quantum microwave devices.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/30/2024
|
07/30/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2428579
|
{'FirstName': 'Gleb', 'LastName': 'Finkelstein', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gleb Finkelstein', 'EmailAddress': '[email protected]', 'NSF_ID': '000090999', 'StartDate': '07/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Duke University', 'CityName': 'DURHAM', 'ZipCode': '277054640', 'PhoneNumber': '9196843030', 'StreetAddress': '2200 W MAIN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'NC04', 'ORG_UEI_NUM': 'TP7EK8DZV6N5', 'ORG_LGL_BUS_NAME': 'DUKE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Duke University', 'CityName': 'DURHAM', 'StateCode': 'NC', 'ZipCode': '277054640', 'StreetAddress': '2200 W MAIN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'NC04'}
|
{'Code': '171000', 'Text': 'CONDENSED MATTER PHYSICS'}
|
2024~510000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428579.xml'}
|
SaTC: EDU: Augmenting Cybersecurity Education in Mobile Health (mHealth) Through Curriculum and Experimental Platform Development
|
NSF
|
08/15/2024
|
07/31/2027
| 399,999 | 399,999 |
{'Value': 'Standard Grant'}
|
{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}
|
{'SignBlockName': 'ChunSheng Xin', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927353'}
|
Mobile health (mHealth) is a rapidly growing field that utilizes mobile devices like smartphones and wearables to provide healthcare services and information. While mHealth has the potential to improve healthcare significantly, it also presents substantial cybersecurity risks. For example, unauthorized access to sensitive patient information is a major concern, and it can happen through compromised wearables or networks, leading to data breaches. As a result, ensuring security in mHealth applications is crucial to guarantee the safety and effectiveness of mHealth technologies. However, there is a severe shortage of cybersecurity professionals in the mHealth sector. Hence, there is a strong need to provide cybersecurity education for mHealth. Unfortunately, there is a lack of curriculum materials on cybersecurity in the context of mHealth, and integrating mHealth and cybersecurity courses without hands-on practice is ineffective. Furthermore, developing mHealth cybersecurity curriculum materials is challenging due to its multi-disciplinary nature. This project will address these shortages and challenges by developing an innovative education platform and curriculum to train and educate future cybersecurity experts in mHealth.<br/><br/>This project will advance cybersecurity education in the emerging field of mHealth, promoting cybersecurity workforce development. The project will develop seven independent course modules, an experimental mHealth cybersecurity platform, a data repository, and an mHealth cybersecurity education workshop. The performance benchmarks will be developed for practical implementations of the cybersecurity platform, which will be incorporated into the curriculum materials. In addition, this project aims to broaden participation of students from underrepresented groups in computing by expanding partnerships with medical schools and organizing workshops. The project team will disseminate the project results and share the project outcomes with researchers, educators, and students to learn about mHealth cybersecurity and improve cybersecurity educational materials through collaborations. <br/><br/>This award is co-funded by the NSF Improving Undergraduate STEM Education (IUSE: EDU) Program. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. This project is further supported by the Secure and Trustworthy Cyberspace (SaTC) program, which funds proposals that address cybersecurity and privacy, and in this case, cybersecurity education. The SaTC program aligns with the Federal Cybersecurity Research and Development Strategic Plan and the National Privacy Research Strategy to protect and preserve the growing social and economic benefits of cyber systems while ensuring security and privacy.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/14/2024
|
08/14/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2428595
|
{'FirstName': 'Honggang', 'LastName': 'Wang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Honggang Wang', 'EmailAddress': '[email protected]', 'NSF_ID': '000553185', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Yeshiva University', 'CityName': 'NEW YORK', 'ZipCode': '100333201', 'PhoneNumber': '2129605217', 'StreetAddress': '500 W 185TH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'NY13', 'ORG_UEI_NUM': 'CSSJGCRUZ9F3', 'ORG_LGL_BUS_NAME': 'YESHIVA UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'Y419HHNNYXJ4'}
|
{'Name': 'Yeshiva University', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100333201', 'StreetAddress': '500 W 185TH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'NY13'}
|
{'Code': '199800', 'Text': 'IUSE'}
|
2024~399999
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428595.xml'}
|
Collaborative Research: Drinking Water Safety: Occurrence, Formation, and Genotoxicity of New Halocyclopentadiene Disinfection By-Products
|
NSF
|
10/01/2024
|
09/30/2027
| 253,000 | 253,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Karl Rockne', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927293'}
|
Most people in the USA consume disinfected drinking water. While disinfection is vitally important to prevent waterborne disease, disinfection by-products (DBPs) form as an unintended consequence. The U.S. Environmental Protection Agency currently regulates 11 DBPs in drinking water. In 2022, a new class of DBP called halocyclopentadienes (HCPDs) was discovered in chlorinated and chloraminated drinking water from three U.S. cities. These DBPs were found to be very toxic and likely to accumulate in tissues. Given these findings, more information is needed to assess the occurrence of these compounds in drinking water and identify conditions that give rise to them. The goal of this research is to conduct a national occurrence study of HCPDs across the US to uncover the factors that influence HCPD formation and investigate their genotoxicity (potential for cancer). The results will help assess whether HCPDs pose a potential risk to human health. This goal will be achieved by measuring HCPD concentrations in drinking water collected across the USA, conducting laboratory experiments to understand how HCPDs are formed, and conducting genotoxicity experiments in cells and in laboratory test animals (nematodes). Societal benefits result from a better understanding of the potential risks of these new DBPs. This information will facilitate long-term engineering solutions to enhance drinking water safety and sustainability. Additional benefits will result from science training opportunities for high school and college students to increase scientific literacy and improve the Nation’s STEM workforce.<br/><br/>Water disinfection was the greatest public health achievement of the 20th century. However, chemical disinfection has raised a public health issue resulting from the potential for cancer and reproductive/developmental effects associated with DBPs. In 2022, HCPDs were discovered in chlorinated and chloraminated drinking water from three U.S. cities. These DBPs were found to be highly cytotoxic and likely to bioaccumulate. Thus, it is important to determine their occurrence in drinking water, along with factors that influence their formation. While the cytotoxicity of three HCPDs is known, their genotoxicity is currently unknown. The goal of this interdisciplinary research project is to address these knowledge gaps through a three-part study to: i) assess HCPD occurrence in drinking water from across the US, ii) determine important factors in HCPD formation, and iii) investigate their genotoxicity. To achieve this, HCPD DBPs will be quantified using gas chromatography-mass spectrometry. Genotoxicity will be assessed using two model organisms. Single cell gel electrophoresis using Chinese hamster ovary cells will be used to assess genotoxicity in vivo, and long amplification quantitative PCR and transgenerational assays will be used to assess genotoxicity in the nematode C. elegans. Results will advance our understanding of the potential risks of this new class of DBP and enable engineering solutions to enhance drinking water safety and sustainability. The research team will disseminate results to relevant scientific communities, as well as to the lay public and key stakeholders via established outreach programs. Graduate students will be trained to provide research experiences for undergraduate and high school students. These student research and mentoring activities will encourage participation of underserved groups in STEM.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/13/2024
|
08/13/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428599
|
{'FirstName': 'Susan', 'LastName': 'Richardson', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Susan D Richardson', 'EmailAddress': '[email protected]', 'NSF_ID': '000586900', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of South Carolina at Columbia', 'CityName': 'COLUMBIA', 'ZipCode': '292083403', 'PhoneNumber': '8037777093', 'StreetAddress': '1600 HAMPTON ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'South Carolina', 'StateCode': 'SC', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'SC06', 'ORG_UEI_NUM': 'J22LNTMEDP73', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SOUTH CAROLINA', 'ORG_PRNT_UEI_NUM': 'J22LNTMEDP73'}
|
{'Name': 'University of South Carolina at Columbia', 'CityName': 'COLUMBIA', 'StateCode': 'SC', 'ZipCode': '292083403', 'StreetAddress': '1600 HAMPTON ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'South Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'SC06'}
|
{'Code': '144000', 'Text': 'EnvE-Environmental Engineering'}
|
2024~253000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428599.xml'}
|
Collaborative Research: Drinking Water Safety: Occurrence, Formation, and Genotoxicity of New Halocyclopentadiene Disinfection By-Products
|
NSF
|
10/01/2024
|
09/30/2027
| 166,936 | 166,936 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Karl Rockne', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927293'}
|
Most people in the USA consume disinfected drinking water. While disinfection is vitally important to prevent waterborne disease, disinfection by-products (DBPs) form as an unintended consequence. The U.S. Environmental Protection Agency currently regulates 11 DBPs in drinking water. In 2022, a new class of DBP called halocyclopentadienes (HCPDs) was discovered in chlorinated and chloraminated drinking water from three U.S. cities. These DBPs were found to be very toxic and likely to accumulate in tissues. Given these findings, more information is needed to assess the occurrence of these compounds in drinking water and identify conditions that give rise to them. The goal of this research is to conduct a national occurrence study of HCPDs across the USA to uncover the factors that influence HCPD formation and investigate their genotoxicity (potential for cancer). The results will be used to determine whether HCPDs pose a risk to human health. This goal will be achieved by measuring HCPD concentrations in drinking water collected across the USA, conducting laboratory experiments to understand how HCPDs are formed, and conducting genotoxicity experiments in cells and in laboratory test animals (nematodes). Societal benefits result from a better understanding of the potential risks of these new DBPs. This information will facilitate long-term engineering solutions to enhance drinking water safety and sustainability. Additional benefits result from science training opportunities for high school and college students to increase scientific literacy and improve the Nation’s STEM workforce.<br/><br/>Water disinfection was the greatest public health achievement of the 20th century. However, chemical disinfection has raised a public health issue resulting from the potential for cancer and reproductive/developmental effects associated with DBPs. In 2022, HCPDs were discovered in chlorinated and chloraminated drinking water from three U.S. cities. These DBPs were found to be highly cytotoxic and likely to bioaccumulate. Thus, it is important to determine their occurrence in drinking water, along with factors that influence their formation. While the cytotoxicity of three HCPDs is known, their genotoxicity is currently unknown. The goal of this interdisciplinary research project is to address these knowledge gaps through a three-part study to: i) assess HCPD occurrence in drinking water from across the USA, ii) determine important factors in HCPD formation, and iii) investigate their genotoxicity. To achieve this, HCPD DBPs will be quantified using gas chromatography-mass spectrometry. Genotoxicity will be assessed using two model organisms. Single cell gel electrophoresis using Chinese hamster ovary cells will be used to assess genotoxicity in vivo, and long amplification quantitative PCR and transgenerational assays will be used to assess genotoxicity in the nematode C. elegans. Results will advance our understanding of the potential risks of this new class of DBP and enable engineering solutions to enhance drinking water safety and sustainability. The research team will disseminate results to relevant scientific communities, as well as to the lay public and key stakeholders via established outreach programs. Graduate students will be trained to provide research experiences for undergraduate and high school students. These student research and mentoring activities will encourage participation of underserved groups in STEM.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/13/2024
|
08/13/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428600
|
[{'FirstName': 'Jason', 'LastName': 'Unrine', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jason Unrine', 'EmailAddress': '[email protected]', 'NSF_ID': '000616560', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Olga', 'LastName': 'Tsyusko', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Olga Tsyusko', 'EmailAddress': '[email protected]', 'NSF_ID': '000505925', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'University of Kentucky Research Foundation', 'CityName': 'LEXINGTON', 'ZipCode': '405260001', 'PhoneNumber': '8592579420', 'StreetAddress': '500 S LIMESTONE', 'StreetAddress2': '109 KINKEAD HALL', 'CountryName': 'United States', 'StateName': 'Kentucky', 'StateCode': 'KY', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'KY06', 'ORG_UEI_NUM': 'H1HYA8Z1NTM5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF KENTUCKY RESEARCH FOUNDATION, THE', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Kentucky Research Foundation', 'CityName': 'LEXINGTON', 'StateCode': 'KY', 'ZipCode': '405260001', 'StreetAddress': '500 S LIMESTONE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Kentucky', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'KY06'}
|
{'Code': '144000', 'Text': 'EnvE-Environmental Engineering'}
|
2024~166936
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428600.xml'}
|
Collaborative Research: Identification and Characterization of Petrogenic Compounds that Persist in Aquatic Environments
|
NSF
|
01/01/2025
|
12/31/2027
| 266,730 | 266,730 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Karl Rockne', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927293'}
|
Crude oil and petroleum spills contaminate soil, surface water, and groundwater. Crude oil is made up of many different molecules, and when oil is released into the environment, microbes in the soil and water degrade and change the structure of these molecules. These biologically transformed oil molecules are collectively called “oxygen-containing organic compounds” (OCOCs). Although OCOCs are not yet regulated in the USA, these compounds are of emerging concern because they are known to harm human and ecological health. The goal of this project is to determine how OCOCs form from crude oil spills in the environment and how this process affects their persistence in contaminated groundwater. To achieve this goal, microbial degradation experiments will be conducted to evaluate OCOC formation and breakdown with different crude oil types under various environmental conditions. Data gathered from experiments and from a historic oil spill site will be used to build a reactive transport model that predicts the environmental persistence and behavior of OCOCs in oil-contaminated groundwater plumes. This work benefits society by providing stakeholders with information needed to assess the human and ecological health risk of OCOCs at contaminated sites. Training of early career investigators and graduate and undergraduate students will increase scientific literacy and enhance workforce development. <br/><br/><br/>Petroleum-contaminated groundwater contains a mixture of natural dissolved organic matter (DOM), dissolved petroleum hydrocarbons, and OCOCs in the form of polar metabolites or hydrocarbon oxidation products. The OCOCs are contaminants of emerging concern because they harm aquatic flora and fauna but are not well characterized by traditional analytical methods. The overarching goal of this project is to link OCOCs to their petroleum source, and to assess intrinsic and extrinsic controls on their environmental persistence. This work combines experimental and field-collected data to constrain a reactive transport model for simulating the natural attenuation and distribution of OCOCs. Petroleum-contaminated groundwater will be collected along a plume transect from a historic oil spill to recover microbial communities for experiments and inform modeling efforts. Specific objectives include: i) determining the chemical variability of OCOCs among parent oil types and between anaerobic and aerobic biodegradation conditions, ii) evaluating whether biological “priming” of native DOM alters the OCOC molecular signatures, and iii) predicting the environmental persistence of OCOCs in an oil-contaminated aquifer. Microbial degradation of specific OCOC molecular signatures will be assessed using ultrahigh resolution mass spectrometry, Fourier-transform infrared spectroscopy, and optical proxies. Successful completion of this research will provide information necessary for stakeholders to address and mitigate the human and ecological health risks associated with OCOCs.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/09/2024
|
08/09/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428601
|
{'FirstName': 'David', 'LastName': 'Podgorski', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David C Podgorski', 'EmailAddress': '[email protected]', 'NSF_ID': '000548997', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of New Orleans', 'CityName': 'NEW ORLEANS', 'ZipCode': '701483520', 'PhoneNumber': '5042806836', 'StreetAddress': '2000 LAKESHORE DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Louisiana', 'StateCode': 'LA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'LA02', 'ORG_UEI_NUM': 'CL8JHK1LN291', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF NEW ORLEANS', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of New Orleans', 'CityName': 'NEW ORLEANS', 'StateCode': 'LA', 'ZipCode': '701483520', 'StreetAddress': '2000 LAKESHORE DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Louisiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'LA02'}
|
{'Code': '144000', 'Text': 'EnvE-Environmental Engineering'}
|
2024~266730
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428601.xml'}
|
Collaborative Research: Identification and Characterization of Petrogenic Compounds that Persist in Aquatic Environments
|
NSF
|
01/01/2025
|
12/31/2027
| 228,753 | 228,753 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Karl Rockne', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927293'}
|
Crude oil and petroleum spills contaminate soil, surface water, and groundwater. Crude oil is made up of many different molecules, and when oil is released into the environment, microbes in the soil and water degrade and change the structure of these molecules. These biologically transformed oil molecules are collectively called “oxygen-containing organic compounds” (OCOCs). Although OCOCs are not yet regulated in the USA, these compounds are of emerging concern because they are known to harm human and ecological health. The goal of this project is to determine how OCOCs form from crude oil spills in the environment and how this process affects their persistence in contaminated groundwater. To achieve this goal, microbial degradation experiments will be conducted to evaluate OCOC formation and breakdown with different crude oil types under various environmental conditions. Data gathered from experiments and from a historic oil spill site will be used to build a reactive transport model that predicts the environmental persistence and behavior of OCOCs in oil-contaminated groundwater plumes. This work benefits society by providing stakeholders with information needed to assess the human and ecological health risk of OCOCs at contaminated sites. Training of early career investigators and graduate and undergraduate students will increase scientific literacy and enhance workforce development. <br/><br/><br/>Petroleum-contaminated groundwater contains a mixture of natural dissolved organic matter (DOM), dissolved petroleum hydrocarbons, and OCOCs in the form of polar metabolites or hydrocarbon oxidation products. The OCOCs are contaminants of emerging concern because they harm aquatic flora and fauna but are not well characterized by traditional analytical methods. The overarching goal of this project is to link OCOCs to their petroleum source, and to assess intrinsic and extrinsic controls on their environmental persistence. This work combines experimental and field-collected data to constrain a reactive transport model for simulating the natural attenuation and distribution of OCOCs. Petroleum-contaminated groundwater will be collected along a plume transect from a historic oil spill to recover microbial communities for experiments and inform modeling efforts. Specific objectives include: i) determining the chemical variability of OCOCs among parent oil types and between anaerobic and aerobic biodegradation conditions, ii) evaluating whether biological “priming” of native DOM alters the OCOC molecular signatures, and iii) predicting the environmental persistence of OCOCs in an oil-contaminated aquifer. Microbial degradation of specific OCOC molecular signatures will be assessed using ultrahigh resolution mass spectrometry, Fourier-transform infrared spectroscopy, and optical proxies. Successful completion of this research will provide information necessary for stakeholders to address and mitigate the human and ecological health risks associated with OCOCs.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/09/2024
|
08/09/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428602
|
{'FirstName': 'Sasha', 'LastName': 'Wagner', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sasha Wagner', 'EmailAddress': '[email protected]', 'NSF_ID': '000754056', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Rensselaer Polytechnic Institute', 'CityName': 'TROY', 'ZipCode': '121803590', 'PhoneNumber': '5182766000', 'StreetAddress': '110 8TH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_ORG': 'NY20', 'ORG_UEI_NUM': 'U5WBFKEBLMX3', 'ORG_LGL_BUS_NAME': 'RENSSELAER POLYTECHNIC INSTITUTE', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Rensselaer Polytechnic Institute', 'CityName': 'TROY', 'StateCode': 'NY', 'ZipCode': '121803590', 'StreetAddress': '110 8TH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_PERF': 'NY20'}
|
{'Code': '144000', 'Text': 'EnvE-Environmental Engineering'}
|
2024~228753
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428602.xml'}
|
CRISP 2.0 Type 2: Collaborative Research: Organizing Decentralized Resilience in Critical Interdependent-infrastructure Systems and Processes (ORDER-CRISP)
|
NSF
|
01/01/2024
|
09/30/2024
| 450,000 | 108,195 |
{'Value': 'Standard Grant'}
|
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
|
{'SignBlockName': 'Siqian Shen', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927048'}
|
This Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) project develops an integrated resilience modeling framework for mitigating vulnerabilities in critical interdependent infrastructure systems. The framework evaluates the coupled nature of vulnerabilities across physical and social systems in Miami and Houston. By focusing on the effects of recent hurricanes on the interdependent-infrastructures in energy, water, transportation and telecommunication, and the human-infrastructures interactions, the project explores options for resilience. The system vulnerabilities are quantified with regional inoperability based economic-interdependency models. The project will develop an app for information sharing with the public. Thus, this scientific research contribution supports NSF's mission to promote the progress of science and to advance our national welfare with benefits that will optimize investments in the nation's critical infrastructures. <br/><br/>The project integrates risk-based models, agent-based simulations, dynamic models of social vulnerability, and models of economic impacts of inoperability. The novelty lies in integrating the interdisciplinary research components: (i) incorporating wind and flood inundation risk into the utility and service disruption models to analyze and determine the extent of interdependent infrastructure failures in energy, water, transportation, and telecommunication sectors; (ii) constructing socio-infrastructural systems of vulnerability and analyzing evacuation/relocation behavior to assess the need for emergent critical infrastructure services; (iii) micro simulation for analyzing coping behavior and facilitating decentralized resilience through information sharing and critical resource pooling; (iv) a macro (city level) inoperability based resilience model to integrate household and social responses with disrupted interdependent infrastructure systems; and (v) developing an app to facilitate and scale up participatory resilience through crowd-sourcing which will be usable in other disaster settings. The project will engage, mentor, and offer an innovative active learning environment for K-12, undergraduate, and graduate students by giving priority to the disadvantaged and underrepresented communities.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/08/2024
|
05/08/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428625
|
{'FirstName': 'Christopher', 'LastName': 'Kuhlman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christopher Kuhlman', 'EmailAddress': '[email protected]', 'NSF_ID': '000669587', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'ZipCode': '240603359', 'PhoneNumber': '5402315281', 'StreetAddress': '300 TURNER ST NW', 'StreetAddress2': 'STE 4200', 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'VA09', 'ORG_UEI_NUM': 'QDE5UHE5XD16', 'ORG_LGL_BUS_NAME': 'VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'M515A1DKXAN8'}
|
{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'StateCode': 'VA', 'ZipCode': '240603359', 'StreetAddress': '300 TURNER ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'VA09'}
|
{'Code': '027Y00', 'Text': 'CRISP - Critical Resilient Int'}
|
2018~108195
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428625.xml'}
|
RAPID: Understanding Freight Flow Adaptations and Supply Chain Logistics Impacts of the Francis Scott Key Bridge Collapse
|
NSF
|
05/01/2024
|
04/30/2025
| 85,000 | 85,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
|
{'SignBlockName': 'Daan Liang', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922441'}
|
On March 26, 2024, an uncontrolled marine vessel leaving the Baltimore Harbor blocked access to and from the Port of Baltimore by water and took out a critical roadway segment (the Francis Scott Key Bridge) that is used to reach the Port by land. The impacts of this disruption are far reaching and arise through complex mechanisms. This grant for Rapid Response Research (RAPID) project aims to investigate the impacts of this disruption to intermodal freight transport services provided through integrated marine, truck, and rail modes via the port. The objective is to collect and analyze time-sensitive and perishable data on disruption-initiated operational changes related to the port and the transportation modes. Insights are expected to answer a set of key questions, namely, (1) how this disruption affects the flow and distribution of freight traffic across the intermodal logistics system; (2) what the immediate and lasting impacts of the disruption are on congestion, port capacity utilization, freight distribution, and intermodal freight network resilience; and (3) how related disruptions propagate spatially and temporally at local, regional, and global scales. Project outcomes help stakeholders to protect national logistics networks from failure propagation and reduce disruption impacts from future similar events, thereby protecting the nation’s infrastructure and economy. Educational activities provide experience for the nation’s future civil engineering workforce.<br/><br/>Critical, perishable freight data is needed to advance fundamental understanding of complex, interacting multi-modal systems and transient post-disruption behaviors across local, regional, and global scales. Example data types include: the number of vessels waiting offshore, average time-to-berth, gantry crane efficiency, business volume, truck traffic on key corridors, truck delays at ports, ground access travel time, number of rail cars sidelined, and rail hub closures or fill rates. Combined with analytical techniques (e.g., Bayesian networks and other data-driven methods, graph theoretic models, network flow analysis, spatial-temporal analyses, stochastic modeling, systems dynamics, simulation), this project: (1) facilitates a deeper understanding of disruption and recovery dynamics; (2) unravels understanding of complex interactions from immediate consequences and subsequent cascading effects within intermodal transportation networks; (3) expands theoretical frameworks concerning disruption propagation and the formulation of effective prevention strategies; and (4) informs the development of more resilient and adaptive freight transportation systems. These outcomes can play an important role in supporting decision-makers in building back better.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/08/2024
|
05/08/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428634
|
[{'FirstName': 'Elise', 'LastName': 'Miller-Hooks', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elise D Miller-Hooks', 'EmailAddress': '[email protected]', 'NSF_ID': '000187128', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Alireza', 'LastName': 'Ermagun', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alireza Ermagun', 'EmailAddress': '[email protected]', 'NSF_ID': '000809109', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'George Mason University', 'CityName': 'FAIRFAX', 'ZipCode': '220304422', 'PhoneNumber': '7039932295', 'StreetAddress': '4400 UNIVERSITY DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'VA11', 'ORG_UEI_NUM': 'EADLFP7Z72E5', 'ORG_LGL_BUS_NAME': 'GEORGE MASON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'H4NRWLFCDF43'}
|
{'Name': 'George Mason University', 'CityName': 'FAIRFAX', 'StateCode': 'VA', 'ZipCode': '220304422', 'StreetAddress': '4400 UNIVERSITY DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'VA11'}
|
{'Code': '163800', 'Text': 'HDBE-Humans, Disasters, and th'}
|
2024~85000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428634.xml'}
|
Batteryless Frontiers in Edge AI: Harvesting Intelligence via Energy-Efficient Sensor Selection and Policy Optimization
|
NSF
|
09/01/2024
|
08/31/2027
| 300,000 | 300,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
|
{'SignBlockName': 'Huaiyu Dai', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924568'}
|
Developing batteryless technology for Internet of Things (IoT) devices offers a promising future, especially for wearable technologies like fitness trackers, smartwatches, and medical devices. The project addresses fundamental issues such as the reliability and functionality of these devices without traditional power sources. By integrating artificial intelligence (AI) and deep learning techniques, this project aims to harness the potential of batteryless sensors for personalized data analytics. This integration requires substantial intellectual innovation, particularly in aligning machine learning (ML) with systems design. Consequently, this project not only aims to transform edge computing, but also has far-reaching implications for healthcare, IoT, and personal augmented reality/virtual reality (AR/VR) applications. Beyond technological advancements, the project has a significant educational impact as it proposes an interdisciplinary, research-based curriculum that combines machine learning (ML) and batteryless system design. This educational approach will foster a new generation of innovators equipped with the skills to advance both ML and batteryless technologies.<br/><br/>In terms of new methods, this project seeks to develop new deep learning algorithms tailored for unstructured data generated by batteryless sensors, which differ fundamentally from traditional ML settings. A joint optimization approach is proposed to balance the energy usage strategies of batteryless sensors with the requirements of ML models for data analytics. The project will also develop a novel approach for selecting sensors specifically for batteryless systems. Real prototypes using kinetic energy harvesting will be built to validate simulations through hardware profiling. These prototypes will facilitate the collection of a real-world dataset, providing a comprehensive methodology for integrating batteryless sensors with ML.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/13/2024
|
08/13/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428656
|
{'FirstName': 'Radu', 'LastName': 'Marculescu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Radu Marculescu', 'EmailAddress': '[email protected]', 'NSF_ID': '000490169', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Texas at Austin', 'CityName': 'AUSTIN', 'ZipCode': '787121139', 'PhoneNumber': '5124716424', 'StreetAddress': '110 INNER CAMPUS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'TX25', 'ORG_UEI_NUM': 'V6AFQPN18437', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TEXAS AT AUSTIN', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Texas at Austin', 'CityName': 'AUSTIN', 'StateCode': 'TX', 'ZipCode': '787121139', 'StreetAddress': '110 INNER CAMPUS DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'TX25'}
|
{'Code': '756400', 'Text': 'CCSS-Comms Circuits & Sens Sys'}
|
2024~300000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428656.xml'}
|
Forcing Organization in Multicellular Assemblies
|
NSF
|
09/01/2024
|
08/31/2027
| 616,151 | 616,151 |
{'Value': 'Standard Grant'}
|
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
|
{'SignBlockName': 'Shivani Sharma', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924204'}
|
Many biological functions are regulated by the coordination of mechanical forces and biological signals that are transmitted across multiple length scales in tissues. Proteins on cells sense and respond to mechanical forces, by activating biochemical signals. These signals can alter the mechanical properties of entire cells, interactions between cells, and even the organization of clusters of cells into complex tissues. However, the current understanding of how mechanical forces regulate human physiology is limited. This award supports basic research that will uncover mechanisms by which forces at the protein level regulate cell mechanics and ultimately direct tissue scale behaviors. This research has significant implications for understanding how tissues form, how embryos develop, and how diseases progress. The knowledge gained from these studies could lead to advances in tissue engineering and medicine that would enhance national health and welfare. This program will support the education and training of students from underrepresented groups across multiple disciplines, to broaden their participation in Science, Technology, Engineering and Mathematics. <br/><br/>Intercellular adhesion proteins, cadherins, play a major role in directing multicellular organization in vivo and in vitro, but the mechanical properties of individual cells also play a major role and may even override cadherin adhesion specificity. This program directly addresses a long-standing conundrum concerning the importance of cadherin identity (biochemistry) and cell mechanics in multicellular organization. The research is interdisciplinary and will leverage molecular biology, bioengineering, materials science, and computation. Cells will be engineered to express cadherin mutants that alter mechanisms of force transduction. Clusters of these cells will be cultured in micropatterned matrices with tunable mechanical properties. Complementary mechanical, imaging, and computational approaches will be used to quantify the impact of altered force transduction mechanisms on cell mechanics, intercellular adhesion, and multicellular organization. The planned studies are based on substantial preliminary data and published work by the co-investigators. The findings will establish how critical mechanical switches at cell-to-cell (cadherin) junctions regulate cellular mechanics and morphology, to direct cell organization and invasion in three dimensional, multicellular systems.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/15/2024
|
08/15/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428662
|
[{'FirstName': 'Susan', 'LastName': 'Leggett', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Susan E Leggett', 'EmailAddress': '[email protected]', 'NSF_ID': '000978191', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Deborah', 'LastName': 'Leckband', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Deborah E Leckband', 'EmailAddress': '[email protected]', 'NSF_ID': '000453132', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'ZipCode': '618013620', 'PhoneNumber': '2173332187', 'StreetAddress': '506 S WRIGHT ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'IL13', 'ORG_UEI_NUM': 'Y8CWNJRCNN91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ILLINOIS', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'StateCode': 'IL', 'ZipCode': '618013620', 'StreetAddress': '352 Henry Administration Building', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'IL13'}
|
{'Code': '747900', 'Text': 'BMMB-Biomech & Mechanobiology'}
|
2024~616151
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428662.xml'}
|
NSF FDA SiR: Improving the Safety Evaluation of Nitinol Medical Devices with AI-Based Multiscale Modeling
|
NSF
|
09/01/2024
|
08/31/2026
| 200,000 | 200,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
|
{'SignBlockName': 'Shivani Sharma', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924204'}
|
Shape memory alloys, such as nickel-titanium (also known as nitinol), are a type of “smart” material widely used in medical devices. Nitinol is a metal with remarkable properties including super-elasticity, which is the ability to stretch like rubber and recover the original shape after unloading, and the shape-memory effect, in which a bar bent to a “permanent” shape like a paper clip, recovers its original straight shape after heating. These characteristics are exploited in a variety of important biomedical devices, such as cardiac stents. However, repeated loading of these devices after they are implanted in a patient, for example expansion and contraction due to blood flow driven by a beating heart, can cause them to break at microscopic material defects, such as non-metallic inclusions. This NSF/FDA Scholar-in-Residence at FDA (NSF FDA SiR) research project seeks to improve the ability of engineers to design nitinol devices that are less likely to fail by developing a specialized multiscale computational method that uses artificial intelligence (AI) to model the behavior of the nitinol atoms in the small volume near a defect. The method will be validated against specially designed fracture experiments to ensure its correctness. This approach will speed development of new medical devices, improve regulatory pathways to market, and reduce the risk to patients. <br/><br/>This research approach is based on the three-dimensional quasicontinuum method (QC3D), which is concurrent multiscale method that dramatically reduces the computational cost relative to fully-atomistic methods through a coarse graining approach. Full atomistic resolution is retained in regions where “interesting” phenomena is occurring, such as phase transformations or bond breaking near a defect, whereas the rest of the device is modeled using a nonlinear finite element approximation employing Cauchy-Born kinematics. QC3D is a systematic approximation to the exact fully-atomistic result, which converges with mesh resolution. However, agreement with reality depends on the accuracy of the interatomic potential (IP) used to model the atomic interactions in the atomistic regions and as the basis of the Cauchy-Born constitutive response. To validate the QC3D approach, predictions using existing physics-based IPs and new AI-based IPs will be compared with fracture toughness experiments on single crystal and/or polycrystal nitinol samples. Experiments will include standard 3-point bending experiments as well as a novel fracture gap test that can be used to explore the effect of compressive stress on phase transformations at the crack tip. The validated QC3D method will be applied to study the effect of non-metallic inclusions on nitinol fracture.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/14/2024
|
08/14/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428667
|
[{'FirstName': 'Ellad', 'LastName': 'Tadmor', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ellad B Tadmor', 'EmailAddress': '[email protected]', 'NSF_ID': '000230764', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Suraj', 'LastName': 'Ravindran', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Suraj Ravindran', 'EmailAddress': '[email protected]', 'NSF_ID': '000880106', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'StateCode': 'MN', 'ZipCode': '554552009', 'StreetAddress': 'Akerman Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MN05'}
|
{'Code': '164200', 'Text': 'Special Initiatives'}
|
2024~200000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428667.xml'}
|
NSF-NFRF: Retreating from risk (RFR): Decision-supports for the equitable implementation of retreat to build climate resilience
|
NSF
|
09/01/2024
|
08/31/2027
| 650,910 | 650,910 |
{'Value': 'Standard Grant'}
|
{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}
|
{'SignBlockName': 'Allen Pope', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928030'}
|
Rising sea levels, changing hydrological regimes, and intensifying extreme weather events are exacerbating flood risks for low-lying communities. Reducing flood risks is an urgent challenge for disaster risk reduction and climate change adaptation for as much as 23% of the global population. Protective infrastructure (e.g., dikes, seawalls, dams), otherwise known as “a structural approach,” is currently the dominant risk management strategy, but this approach has significant shortcomings. As climate impacts intensify, communities will require transformative adaptation strategies that reduce risk and address vulnerabilities equitably. In this project, we focus on managed retreat (MR)—relocation of people, property and infrastructure away from the most vulnerable areas—as an adaptation approach that offers both risk reduction benefits and opportunities to advance social justice for disproportionately-impacted groups. Co-created with communities in the U.S., Canada, and Indonesia, this project will produce fundamental and actionable knowledge on how diverse communities can adopt managed retreat as a climate adaptation strategy, to reduce risk and advance social justice for disproportionately-impacted groups. This project will strengthen international partnerships and transform international understanding of managed retreat as an adaptation strategy. This project will train three graduate students with an interdisciplinary, international research experience with deep community engagement.<br/><br/>The project’s goal is to co-create new knowledge and actionable outputs to support the development and uptake of equity-informed, community-engaged managed retreat programs as a viable climate adaptation strategy. This project includes six research tasks that will advance fundamental knowledge on the decision support needs for municipalities and Indigenous communities as they consider and/or seek to implement equitable managed retreat programs as an adaptation strategy to build flood resilience. Iteratively refined with community partners, this project will: analyze past managed retreat initiatives to identify best practices, dynamics, challenges, and complexities; compare case studies of managed retreat programs at different implementation stages across Canada, the U.S., and Indonesia to understand managed needs and constraints from residents and decision-makers through roundtables and focus groups; and develop decision criteria and case study summary briefs to show future risks and vulnerabilities. Using practitioner input, the project will co-develop contextually-relevant decision-support tools (e.g., training module, best practices guidebook, conversation toolkits) that will enable community leaders to engage constituents on managed retreat.<br/><br/>This award is part of a collaboration jointly funded by the U.S. National Science Foundation and funding agencies from Canada via the 2023 International Joint Initiative for Research on Climate Change Adaptation and Mitigation Competition, led by Canada. Each agency funds the scientists at institutions in their respective countries.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/31/2024
|
05/31/2024
|
None
|
Grant
|
47.079
|
1
|
4900
|
4900
|
2428674
|
[{'FirstName': 'Ali', 'LastName': 'Nejat', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ali Nejat', 'EmailAddress': '[email protected]', 'NSF_ID': '000615577', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Elaina', 'LastName': 'Sutley', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elaina J Sutley', 'EmailAddress': '[email protected]', 'NSF_ID': '000717323', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Sara', 'LastName': 'Hamideh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sara Hamideh', 'EmailAddress': '[email protected]', 'NSF_ID': '000719638', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University of Kansas Center for Research Inc', 'CityName': 'LAWRENCE', 'ZipCode': '660457563', 'PhoneNumber': '7858643441', 'StreetAddress': '2385 IRVING HILL RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Kansas', 'StateCode': 'KS', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'KS01', 'ORG_UEI_NUM': 'SSUJB3GSH8A5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF KANSAS CENTER FOR RESEARCH INC', 'ORG_PRNT_UEI_NUM': 'SSUJB3GSH8A5'}
|
{'Name': 'University of Kansas Center for Research Inc', 'CityName': 'LAWRENCE', 'StateCode': 'KS', 'ZipCode': '660457563', 'StreetAddress': '2385 IRVING HILL RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Kansas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'KS01'}
|
{'Code': '054Y00', 'Text': 'GVF - Global Venture Fund'}
|
2024~650910
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428674.xml'}
|
I-Corps: Translation Potential of Advanced Medical Image Processing Algorithms for Stroke Diagnosis and Prognosis
|
NSF
|
06/01/2024
|
05/31/2025
| 50,000 | 50,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Jaime A. Camelio', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922061'}
|
The broader impact of this I-Corps project is the development of stroke diagnosis assistance system. Through Magnetic Resonance Imaging analysis, this technology promises to improve stroke care by providing personalized, precise prognostic information that supports targeted rehabilitation and optimizes recovery. This technology can bridge critical gaps in the current healthcare system, offering benefits to individual patients and to the broader medical community. For patients and their families, it offers a clearer understanding of recovery trajectories, reducing anxiety and improving mental health. Healthcare providers gain a powerful tool for crafting personalized care plans and improving outcomes while making efficient use of resources. In rural areas, where specialized care is limited, this system can significantly enhance the quality of care by democratizing access to advanced neurological insights. By streamlining communication within the healthcare ecosystem, this technology fosters a collaborative approach to patient care, enhancing efficiency and quality across the board. Overall, the solution represents a shift towards more informed, efficient, and patient-centered stroke care, setting a new benchmark for the integration of artificial intelligence in healthcare.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on the development of a stroke diagnosis assistance system that is able to automatically deliver comprehensive reports. At the core of this breakthrough is the utilization of artificial intelligence to process and interpret complex radiological data that traditionally requires extensive manual analysis by highly trained specialists. The algorithms are trained on vast datasets of stroke patient imaging and behavioral data, enabling the system to identify, quantify, and analyze stroke lesions with unprecedented precision. The resulting radiological reports provide detailed visualizations, lesion volume, and affected brain areas, alongside predictive assessments of long-term recovery across motor and cognitive functions. This technological prowess showcases the capabilities of advanced computational models and algorithms and sets a new standard in the application of artificial intelligence for enhancing diagnostic accuracy and treatment efficacy in stroke care.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/21/2024
|
05/21/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2428675
|
[{'FirstName': 'Michal', 'LastName': 'Brzus', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michal Brzus', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A04D4', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Hans', 'LastName': 'Johnson', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hans Johnson', 'EmailAddress': '[email protected]', 'NSF_ID': '000695320', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'University of Iowa', 'CityName': 'IOWA CITY', 'ZipCode': '522421316', 'PhoneNumber': '3193352123', 'StreetAddress': '105 JESSUP HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Iowa', 'StateCode': 'IA', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'IA01', 'ORG_UEI_NUM': 'Z1H9VJS8NG16', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF IOWA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Iowa', 'CityName': 'IOWA CITY', 'StateCode': 'IA', 'ZipCode': '522421316', 'StreetAddress': '105 JESSUP HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Iowa', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'IA01'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428675.xml'}
|
Photonic van der Waals integration of functional nanomembranes towards multifunctional heterogeneous photonic integrated circuits
|
NSF
|
09/01/2024
|
08/31/2027
| 500,000 | 500,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
|
{'SignBlockName': 'Margaret Kim', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922967'}
|
Nontechnical Description:<br/>Information technology has established itself as the cornerstone of modern society, underpinned by sophisticated semiconductor hardware with various functionality. To address the electrical bottleneck in integrated electronics, photonics-based scenarios have showcased unprecedented strengths in broadband, high-speed, and low-loss information processing and communications. However, conventional strategies relying on single material platforms encounter varying limitations in device performance and multifunctionality from their fundamental material shortcomings. A versatile platform for heterogeneous integration of different functional optical materials is not only a driving engine to prototype novel high-performance integrated photonic applications for information society, but also essential to investigate diverse nanophotonic physics such as the interplay between electromagnetic waves and other physical fields. We here propose the photonic van der Waals (vdW) integration on a library of distinct functional materials to infuse novel device functionalities established photonic platforms that were previously impossible to realize via single optical material. This includes the vdW integration of electro-optical (EO) material (barium titanate, BTO), cobalt ferrite (CFO), and III-V thin films (GaN) as gain or piezoelectric materials to Si and SiN photonics for high-performance and multifunctional integrated photonic circuits, providing a new paradigm for novel hetero-integration strategy to advance semiconductor technology, and explore nanoscale photonic phenomena such as Pockels EO modulation, mechanical-optical effects, lasing, and nonlinear physics. <br/><br/>Technical Description:<br/>The hetero-integration of different optical materials, in contrast, can inspire record-setting devices and offer richer design freedom. Conventional hetero-integration approaches rely on hetero-epitaxy, limited by rigorous lattice matching and processing compatibility constraints. The photonic vdW integration thus permits versatile hetero-integration of diverse nanomembranes for vast applications with 3 significant breakthroughs: (1) Proposed layer transfer technique enables the vdW integration of dissimilar single-crystalline functional materials to arbitrary prefabricated photonic templates with excellent quality, which is previously not achievable via conventional heteroepitaxy methods. (2) The vdW integration concept is further extended to handling novel 3D materials for constructing novel vdW integrated photonic layouts to study nanophotonic coupling between light and other physical fields. (3) A universal platform to integrate multiple functional materials to a single photonic chip. We plan to vdW integrate BTO, GaN, and cobalt ferrite to Si and silicon nitride (SiN) photonics to develop high-performance integrated EO modulators, on-chip photodetectors, and isolators, as well as multi-materials co-integrated photonic chip covering key functionalities of optical modulations and photodetections for optical communication applications. BTO and cobalt ferrite will be grown by pulsed laser deposition (PLD) for epitaxial lift-off. Single-crystal GaN will be prepared by remote epitaxy via molecular beam epitaxy with 2D-materials-assisted layer transfer (2DLT) technique. Mach-Zehnder interferometers, ring resonators, and other dielectric waveguides structures will be fabricated in cleanroom for layer transfer. Optical measurements will be performed to confirm device performance with the following goals. (1) Kinetic study on new material epitaxy scenarios and the interplay of various photonic coupling. (2) Verify a new solution for high-quality thin film materials lift-off and hetero-integration, solving the lattice matching constraints in conventional hetero-integration methods. (3) Applying novel EO material of BTO (with among highest Pockels coefficient) for efficient EO applications. This study will advance semiconductor technologies and promote academic research on photonics integration and nanophotonic physics.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/01/2024
|
08/01/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428676
|
[{'FirstName': 'Sang-Hoon', 'LastName': 'Bae', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sang-Hoon Bae', 'EmailAddress': '[email protected]', 'NSF_ID': '000877073', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Lan', 'LastName': 'Yang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lan Yang', 'EmailAddress': '[email protected]', 'NSF_ID': '000487981', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Washington University', 'CityName': 'SAINT LOUIS', 'ZipCode': '63110', 'PhoneNumber': '3147474134', 'StreetAddress': 'ONE BROOKINGS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Missouri', 'StateCode': 'MO', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MO01', 'ORG_UEI_NUM': 'L6NFUM28LQM5', 'ORG_LGL_BUS_NAME': 'WASHINGTON UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Washington University', 'CityName': 'SAINT LOUIS', 'StateCode': 'MO', 'ZipCode': '631304862', 'StreetAddress': 'ONE BROOKINGS DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Missouri', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MO01'}
|
{'Code': '151700', 'Text': 'EPMD-ElectrnPhoton&MagnDevices'}
|
2024~500000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428676.xml'}
|
Planning: Rural Community College Astronomy Research Consortium
|
NSF
|
09/01/2024
|
08/31/2026
| 149,650 | 149,650 |
{'Value': 'Standard Grant'}
|
{'Code': '11040000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DUE', 'LongName': 'Division Of Undergraduate Education'}}
|
{'SignBlockName': 'Kalyn Owens', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924615'}
|
This project aims to serve the national interest by increasing equity and access to STEM education through the launch of a two-year college consortium in a rural region of the US. The consortium will center efforts on engaging two-year colleges students and faculty in collaborative astronomy research projects. This planning effort initially brings together key stakeholders from rural areas in Colorado, Arizona, New Mexico, and Utah and aims to expand to regional tribal colleges in the long-term. While undergraduate research in two-year colleges is a growing national initiative, small rural colleges often rely on unique strategies to support their students in authentic engagement with the STEM enterprise. Importantly, the nation's recent rural broadband initiative, remote online synchronous classes, and centralized internet accessed research facilities such as robotic telescopes, it is now possible to offer significant research opportunities in rural regions of the US. Ultimately, this project will leverage a collaborative model, expertise, and resources to broaden both interest and participation in STEM, particularly for students that attend two-year colleges.<br/><br/>The overall goal of this project is to create a sustainable consortium of rural two-year colleges as a means to engage students from across the region in astronomy undergraduate research projects. The following activities will be carried out to achieve this goal: recruit rural two-year college partners to be part of the consortium, develop student research experience course materials, upgrade the Ball Observatory at the Colorado Mountain College for student remote access, and pilot the research experience at two institutions. Research projects center on precise measurements of close binary stars, using speckle astrometric techniques. The existing Small Telescope Astronomical Research Handbook will be thoroughly revised and expanded to include material on cooperative multi-institutional student team research projects. The Ball Observatory at the lead institution, Colorado Mountain College, will be updated to allow students in the four-state area to operate the telescope over the Internet. This planning proposal will result in a full proposal submitted to NSF, an established consortium of rural two-year colleges, and a model for engaging students across the region in astronomy research projects. The NSF IUSE: Innovation in Two-Year College STEM Education (ITYC) Program seeks to accelerate the impact of and advance knowledge about emerging and evidence-based practices in undergraduate STEM education at two-year colleges.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/26/2024
|
08/26/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2428684
|
{'FirstName': 'Paul', 'LastName': 'McCudden', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Paul McCudden', 'EmailAddress': '[email protected]', 'NSF_ID': '000599642', 'StartDate': '08/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Colorado Mountain College', 'CityName': 'GLENWOOD SPRINGS', 'ZipCode': '816013456', 'PhoneNumber': '8006218559', 'StreetAddress': '802 GRAND AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'CO03', 'ORG_UEI_NUM': 'WW2VTNKV6GJ6', 'ORG_LGL_BUS_NAME': 'COLORADO MOUNTAIN COLLEGE', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Colorado Mountain College', 'CityName': 'GLENWOOD SPRINGS', 'StateCode': 'CO', 'ZipCode': '816013456', 'StreetAddress': '802 GRAND AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'CO03'}
|
{'Code': '264Y00', 'Text': 'Innov TwoYear College STEM Ed'}
|
2024~149650
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428684.xml'}
|
Collaborative Research: LTREB Renewal - River ecosystem responses to floodplain restoration
|
NSF
|
01/15/2024
|
09/30/2028
| 143,000 | 143,000 |
{'Value': 'Continuing Grant'}
|
{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}
|
{'SignBlockName': 'Kendra McLauchlan', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922217'}
|
Floodplains are the areas alongside rivers that are affected by water movement. Floodplains provide many important benefits to people, yet they are also susceptible to changes such as flooding, pollution, and other disturbances. Understanding the effects of long-term changes in river ecosystems affected by metal pollution is extremely important. This project studies changes over ten years in the Upper Clark Fork River in Montana following a large project that restored vegetation and removed contaminated soil after damage from extensive mining in the river’s headwaters. Changes in land use and wastewater treatment are also altering nitrogen and phosphorus concentrations along the river. Since 2013, nearly 17 km of river has been restored and three core data sets have been collected, which were initiated decades before the restoration. The long-term measurements and the spatial scale of the study provides an opportunity to observe the ecological processes involved in restoration practices. Several undergraduate and graduate students are educated as part of this project, data are made available to the public, and results are shared with many stakeholders in this river system through the Clark Fork Science Forum.<br/><br/><br/>The study system of the Upper Clark Fork River in Montana, has several unique qualities that enable this project to make significant scientific advances. First, the system has received high inputs of metals that have since ceased. This enables investigation of the ecosystem dynamics over time in response to this cessation. Second, the investigators have closely observed ecological and biogeochemical responses over decadal timescales, which is the appropriate timeframe to study the types of slow processes involved in river ecosystem recovery. The project generates core data sets including: 1) influences on organic matter and sediment metals, 2) changes in upstream-downstream gradients in sediment metals, 3) metabolic responses to floodplain reconnection in restored reaches during the spring flood pulse vs. summer baseflow, 4) changes in metal bioavailability caused by interaction with dissolved organic matter, and 5) measurements of nitrogen, phosphorus, and dissolved organic carbon in restored and unrestored parts of the river. Ultimately, this project investigates river ecosystem responses over large spatial (>200 km) and temporal (> decadal) scales.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
04/22/2024
|
06/25/2024
|
None
|
Grant
|
47.074
|
1
|
4900
|
4900
|
2428705
|
{'FirstName': 'Juliana', 'LastName': "D'Andrilli", 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': "Juliana D'Andrilli", 'EmailAddress': "juliana.d'[email protected]", 'NSF_ID': '000760102', 'StartDate': '04/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of North Texas', 'CityName': 'DENTON', 'ZipCode': '762051132', 'PhoneNumber': '9405653940', 'StreetAddress': '1112 DALLAS DR STE 4000', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'TX13', 'ORG_UEI_NUM': 'G47WN1XZNWX9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF NORTH TEXAS', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of North Texas', 'CityName': 'DENTON', 'StateCode': 'TX', 'ZipCode': '762051132', 'StreetAddress': '1112 DALLAS DR STE 4000', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'TX13'}
|
{'Code': '738100', 'Text': 'Ecosystem Science'}
|
['2023~31476', '2024~111524']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428705.xml'}
|
Conference: International Society of the Learning Sciences (ISLS) 2024 Annual Meeting (Doctoral Consortium and Early Career Workshop)
|
NSF
|
06/01/2024
|
05/31/2025
| 34,878 | 34,878 |
{'Value': 'Standard Grant'}
|
{'Code': '11090000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DRL', 'LongName': 'Division Of Research On Learning'}}
|
{'SignBlockName': 'Amy Baylor', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032925126'}
|
The United States has historically been a global leader in the field of the learning sciences, an interdisciplinary field that draws on multiple theoretical and methodological perspectives with the goal of advancing knowledge about human learning and development in a variety of educational settings, frequently in the context of emerging technologies including artificial intelligence. The preeminent conference in this field is the Annual Meeting of the International Society of the Learning Sciences (ISLS), held this year in Buffalo NY, June 2024. At this conference the latest research is presented, and participants learn state-of-the-art techniques to address important challenges associated with the transformation of education and broadening of participation in the digital age.<br/><br/>The project provides partial travel support to the ISLS Meeting for seven Ph.D. students from the United States, selected through a competitive process, to present their work and receive additional mentoring outside of their dissertation committees as part of a doctoral consortium. The project also supports partial travel support for seven early career researchers from the United States, to discuss their research programs and career trajectories with peers and senior researchers in the field. Additionally, the workshop will target diverse participants within the field and mentor scholars who are underrepresented. The intellectual merit of the work is in improving the dissertation research of the graduate students and building impact and opportunity for early career researchers; in both tracks the work is enhanced by guidance from world-class mentors who meet with the students in a structured format to improve their research. The broader impact includes multiplying opportunities to develop collaborations in the field of learning sciences, and supporting the career development of some of the best and brightest researchers in multiple disciplines who work in this interdisciplinary area. By supporting a pipeline of high-quality US scholars from multiple disciplines into this interdisciplinary field, this proposal helps ensure US participation and parity in this productive and vital area of research.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/22/2024
|
05/22/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2428717
|
{'FirstName': 'Xiaohui', 'LastName': 'Wang', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiaohui C Wang', 'EmailAddress': '[email protected]', 'NSF_ID': '000295916', 'StartDate': '05/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'SUNY at Buffalo', 'CityName': 'AMHERST', 'ZipCode': '142282577', 'PhoneNumber': '7166452634', 'StreetAddress': '520 LEE ENTRANCE STE 211', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_ORG': 'NY26', 'ORG_UEI_NUM': 'LMCJKRFW5R81', 'ORG_LGL_BUS_NAME': 'RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE', 'ORG_PRNT_UEI_NUM': 'GMZUKXFDJMA9'}
|
{'Name': 'SUNY at Buffalo,', 'CityName': 'Buffalo', 'StateCode': 'NY', 'ZipCode': '142148032', 'StreetAddress': 'Diefendorf Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_PERF': 'NY26'}
|
{'Code': '802000', 'Text': 'Cyberlearn & Future Learn Tech'}
|
2024~34878
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428717.xml'}
|
Broadband Tunable Nano-Opto-Electro-Mechanical Resonators for Ultrasensitive Adaptive Sensing
|
NSF
|
10/01/2024
|
09/30/2027
| 574,999 | 574,999 |
{'Value': 'Standard Grant'}
|
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
|
{'SignBlockName': 'Richard Nash', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032925394'}
|
Mechanical resonators are fundamental components in diverse demanding applications, including smartphones, telecommunications, medical devices, and quantum information technologies. Their ability to adapt dynamically to a wide range of frequencies, signals, external stimuli, and conditions is essential, making tunability a key driver for the next leap in technological innovation. This research investigates an innovative resonator with superior tunability, far exceeding the current capabilities. The broadband resonator will enable the sensing and exploration of devices operating under thermal fluctuations, where traditional theories break down. These advancements will contribute to fundamental research, the semiconductor industry, and national security. This project will also provide multidisciplinary scientific training at the intersections of nanotechnology, mechanics, electronics, manufacturing, and materials, nurturing the future American scientific and engineering workforce. Research findings will be integrated into various undergraduate and graduate courses and enrich the NSF-funded Nanotechnology Undergraduate Education program at SUNY Binghamton.<br/><br/>Micro- and nanoscale mechanical resonators are transforming numerous technology arenas, from physical, chemical, and biological sensing and signal processing to communication and quantum computing. However, existing mechanical resonators suffer from less-than-desired frequency tunability, partially due to built-in strain from the manufacturing process. This project will investigate an innovative nano-opto-electro-mechanical resonator with frequency tunability orders of magnitude higher than current benchmarks. The superior tunability of the resonator will be achieved by engineering the strain of its ultrathin nanomechanical resonating element across a broad range, down to a strain-free state. The broadband tunability will be studied using micro-electromechanical actuation and nano-optomechanical transduction techniques. Pushing the boundaries of resonator adjustability will facilitate advanced adaptive sensing. Leveraging the unique capabilities of the broadband tunable sensing platform, this research will also explore how the ultrathin resonator’s performance is modulated by thermal fluctuations, which remains at an early stage of understanding. This new knowledge will transform the design and understanding of micro/nanodevices using atomically thin materials.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/13/2024
|
08/13/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428731
|
[{'FirstName': 'Changhong', 'LastName': 'Ke', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Changhong Ke', 'EmailAddress': '[email protected]', 'NSF_ID': '000499182', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Jian', 'LastName': 'Zhou', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jian Zhou', 'EmailAddress': '[email protected]', 'NSF_ID': '000980040', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'ZipCode': '139024400', 'PhoneNumber': '6077776136', 'StreetAddress': '4400 VESTAL PKWY E', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'NQMVAAQUFU53', 'ORG_LGL_BUS_NAME': 'RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE', 'ORG_PRNT_UEI_NUM': 'GMZUKXFDJMA9'}
|
{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'StateCode': 'NY', 'ZipCode': '139024400', 'StreetAddress': '4400 VESTAL PKWY E', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}
|
{'Code': '756400', 'Text': 'CCSS-Comms Circuits & Sens Sys'}
|
2024~574999
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428731.xml'}
|
Collaborative Research: Integrated plant-aphid dynamics mediated by above-and below ground mutualisms in a rapidly warming community
|
NSF
|
10/01/2024
|
09/30/2027
| 535,370 | 535,370 |
{'Value': 'Standard Grant'}
|
{'Code': '08090000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}
|
{'SignBlockName': 'Theodore Morgan', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927868'}
|
Insect herbivores such as aphids play outsized roles in both natural and agricultural ecosystems. Consequently, understanding factors that control aphid abundance is critical for managing many ecosystems in the future. Rising temperatures can directly impact aphid development, growth, and survival and shift how these insect herbivores interact with plants and other organisms in their environment. Biotic interactions such as those that influence food resources or vulnerability to predators may be especially important in determining whether aphids and other insect herbivores are able to persist and adapt to rapid climate change. This project will study the effects of warming and biotic interactions on aphids to improve understanding of factors that affect herbivore abundance under current and future climate scenarios. Aphids are sensitive to the direct effects of warming temperatures, but their abundance also depends on complex interactions with microbes, plants, and other insects as well as genetic differences between aphid populations. Through a series of field experiments in a well-studied Rocky Mountain ecosystem, this project will test how interactions among these factors can lead to unexpected patterns in aphid abundance. Findings from this work will be used to create models that predict how aphid populations are likely to respond to rapid climate change, which can inform insect monitoring, conservation, and management. Results from this work will also be incorporated into educational materials for K-12 students with the goal of advancing quantitative skills in climate change education. The PIs will also recruit scholars from underrepresented and underserved communities to work on this project and foster their professional development through interdisciplinary, team-based science. Data from this work will be integrated in a graphical modeling interface and educational modules to support dissemination of project results to interested stakeholders.<br/><br/>Interactions between species within multi-trophic networks can facilitate or constrain how organisms respond to rapid climate change. However, biotic interactions can shift with rising temperatures, altering eco-evolutionary dynamics and network stability in ways that are challenging to predict. Characterizing physiological and eco-evolutionary mechanisms that drive the population dynamics of keystone species within interaction networks is critical for predicting how these systems will respond or adapt to novel environments. Insect herbivores are keystone species in many ecosystems, and ecologists have long sought to understand biotic and abiotic factors that govern insect herbivore dynamics. The proposed research will integrate long-term field observations and manipulative experiments with agent-based models to develop a mechanistic understanding of temperature responses in a well-studied subalpine plant-aphid system. This work will provide a robust understanding of temperature effects on aphid population dynamics by (1) integrating the direct effects of temperature on aphid development with indirect effects driven by shifts in above- and belowground interactions, (2) assessing local adaptation within plant-aphid interactions across a temperature gradient; and (3) using these mechanistic relationships in a hierarchical modeling framework to forecast aphid dynamics under variable climate scenarios.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/16/2024
|
07/16/2024
|
None
|
Grant
|
47.074
|
1
|
4900
|
4900
|
2428736
|
{'FirstName': 'Katie', 'LastName': 'Becklin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Katie Becklin', 'EmailAddress': '[email protected]', 'NSF_ID': '000665340', 'StartDate': '07/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Syracuse University', 'CityName': 'SYRACUSE', 'ZipCode': '13244', 'PhoneNumber': '3154432807', 'StreetAddress': '900 S CROUSE AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '22', 'CONGRESS_DISTRICT_ORG': 'NY22', 'ORG_UEI_NUM': 'C4BXLBC11LC6', 'ORG_LGL_BUS_NAME': 'SYRACUSE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Syracuse University', 'CityName': 'SYRACUSE', 'StateCode': 'NY', 'ZipCode': '132440001', 'StreetAddress': '900 S CROUSE AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '22', 'CONGRESS_DISTRICT_PERF': 'NY22'}
|
{'Code': '765700', 'Text': 'Integrtv Ecological Physiology'}
|
2024~535370
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428736.xml'}
|
Collaborative Research: Integrated plant-aphid dynamics mediated by above-and below ground mutualisms in a rapidly warming community
|
NSF
|
10/01/2024
|
09/30/2027
| 288,060 | 288,060 |
{'Value': 'Standard Grant'}
|
{'Code': '08090000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}
|
{'SignBlockName': 'Theodore Morgan', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927868'}
|
Insect herbivores such as aphids play outsized roles in both natural and agricultural ecosystems. Consequently, understanding factors that control aphid abundance is critical for managing many ecosystems in the future. Rising temperatures can directly impact aphid development, growth, and survival and shift how these insect herbivores interact with plants and other organisms in their environment. Biotic interactions such as those that influence food resources or vulnerability to predators may be especially important in determining whether aphids and other insect herbivores are able to persist and adapt to rapid climate change. This project will study the effects of warming and biotic interactions on aphids to improve understanding of factors that affect herbivore abundance under current and future climate scenarios. Aphids are sensitive to the direct effects of warming temperatures, but their abundance also depends on complex interactions with microbes, plants, and other insects as well as genetic differences between aphid populations. Through a series of field experiments in a well-studied Rocky Mountain ecosystem, this project will test how interactions among these factors can lead to unexpected patterns in aphid abundance. Findings from this work will be used to create models that predict how aphid populations are likely to respond to rapid climate change, which can inform insect monitoring, conservation, and management. Results from this work will also be incorporated into educational materials for K-12 students with the goal of advancing quantitative skills in climate change education. <br/><br/>Interactions between species within multi-trophic networks can facilitate or constrain how organisms respond to rapid climate change. However, biotic interactions can shift with rising temperatures, altering eco-evolutionary dynamics and network stability in ways that are challenging to predict. Characterizing physiological and eco-evolutionary mechanisms that drive the population dynamics of keystone species within interaction networks is critical for predicting how these systems will respond or adapt to novel environments. Insect herbivores are keystone species in many ecosystems, and ecologists have long sought to understand biotic and abiotic factors that govern insect herbivore dynamics. The proposed research will integrate long-term field observations and manipulative experiments with agent-based models to develop a mechanistic understanding of temperature responses in a well-studied subalpine plant-aphid system. This work will provide a robust understanding of temperature effects on aphid population dynamics by (1) integrating the direct effects of temperature on aphid development with indirect effects driven by shifts in above- and belowground interactions, (2) assessing local adaptation within plant-aphid interactions across a temperature gradient; and (3) using these mechanistic relationships in a hierarchical modeling framework to forecast aphid dynamics under variable climate scenarios. The PIs will also recruit scholars from underrepresented and underserved communities to work on this project and foster their professional development through interdisciplinary, team-based science. Data from this work will be integrated in a graphical modeling interface and educational modules to support dissemination of project results to interested stakeholders.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/16/2024
|
07/16/2024
|
None
|
Grant
|
47.074
|
1
|
4900
|
4900
|
2428737
|
{'FirstName': 'Christine', 'LastName': 'Bahlai', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christine A Bahlai', 'EmailAddress': '[email protected]', 'NSF_ID': '000665755', 'StartDate': '07/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Kent State University', 'CityName': 'KENT', 'ZipCode': '442420001', 'PhoneNumber': '3306722070', 'StreetAddress': '1500 HORNING RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '14', 'CONGRESS_DISTRICT_ORG': 'OH14', 'ORG_UEI_NUM': 'KXNVA7JCC5K6', 'ORG_LGL_BUS_NAME': 'KENT STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Kent State University', 'CityName': 'KENT', 'StateCode': 'OH', 'ZipCode': '442420001', 'StreetAddress': '1500 HORNING RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '14', 'CONGRESS_DISTRICT_PERF': 'OH14'}
|
{'Code': '765700', 'Text': 'Integrtv Ecological Physiology'}
|
2024~288060
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428737.xml'}
|
Collaborative Research: Integrated plant-aphid dynamics mediated by above-and below ground mutualisms in a rapidly warming community
|
NSF
|
10/01/2024
|
09/30/2027
| 158,371 | 158,371 |
{'Value': 'Standard Grant'}
|
{'Code': '08090000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}
|
{'SignBlockName': 'Theodore Morgan', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927868'}
|
Insect herbivores such as aphids play outsized roles in both natural and agricultural ecosystems. Consequently, understanding factors that control aphid abundance is critical for managing many ecosystems in the future. Rising temperatures can directly impact aphid development, growth, and survival and shift how these insect herbivores interact with plants and other organisms in their environment. Biotic interactions such as those that influence food resources or vulnerability to predators may be especially important in determining whether aphids and other insect herbivores are able to persist and adapt to rapid climate change. This project will study the effects of warming and biotic interactions on aphids to improve understanding of factors that affect herbivore abundance under current and future climate scenarios. Aphids are sensitive to the direct effects of warming temperatures, but their abundance also depends on complex interactions with microbes, plants, and other insects as well as genetic differences between aphid populations. Through a series of field experiments in a well-studied Rocky Mountain ecosystem, this project will test how interactions among these factors can lead to unexpected patterns in aphid abundance. Findings from this work will be used to create models that predict how aphid populations are likely to respond to rapid climate change, which can inform insect monitoring, conservation, and management. Results from this work will also be incorporated into educational materials for K-12 students with the goal of advancing quantitative skills in climate change education. <br/><br/>Interactions between species within multi-trophic networks can facilitate or constrain how organisms respond to rapid climate change. However, biotic interactions can shift with rising temperatures, altering eco-evolutionary dynamics and network stability in ways that are challenging to predict. Characterizing physiological and eco-evolutionary mechanisms that drive the population dynamics of keystone species within interaction networks is critical for predicting how these systems will respond or adapt to novel environments. Insect herbivores are keystone species in many ecosystems, and ecologists have long sought to understand biotic and abiotic factors that govern insect herbivore dynamics. The proposed research will integrate long-term field observations and manipulative experiments with agent-based models to develop a mechanistic understanding of temperature responses in a well-studied subalpine plant-aphid system. This work will provide a robust understanding of temperature effects on aphid population dynamics by (1) integrating the direct effects of temperature on aphid development with indirect effects driven by shifts in above- and belowground interactions, (2) assessing local adaptation within plant-aphid interactions across a temperature gradient; and (3) using these mechanistic relationships in a hierarchical modeling framework to forecast aphid dynamics under variable climate scenarios. The PIs will also recruit scholars from underrepresented and underserved communities to work on this project and foster their professional development through interdisciplinary, team-based science. Data from this work will be integrated in a graphical modeling interface and educational modules to support dissemination of project results to interested stakeholders.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/16/2024
|
07/16/2024
|
None
|
Grant
|
47.074
|
1
|
4900
|
4900
|
2428738
|
{'FirstName': 'Emily', 'LastName': 'Mooney', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Emily Mooney', 'EmailAddress': '[email protected]', 'NSF_ID': '000706805', 'StartDate': '07/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Rocky Mountain Biological Laboratory', 'CityName': 'CRESTED BUTTE', 'ZipCode': '812249808', 'PhoneNumber': '9703497481', 'StreetAddress': '8000 COUNTY ROAD 317', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'CO03', 'ORG_UEI_NUM': 'SPDKFDPD3BL3', 'ORG_LGL_BUS_NAME': 'THE CORPORATION OF THE ROCKY MOUNTAIN BIOLOGICAL LABORATORY AT GOTHIC', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Rocky Mountain Biological Laboratory', 'CityName': 'CRESTED BUTTE', 'StateCode': 'CO', 'ZipCode': '812249808', 'StreetAddress': '8000 COUNTY ROAD 317', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'CO03'}
|
{'Code': '765700', 'Text': 'Integrtv Ecological Physiology'}
|
2024~158371
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428738.xml'}
|
New Data Science for Human Operational Analysis in Smart Manufacturing
|
NSF
|
01/01/2024
|
10/31/2025
| 375,425 | 292,122 |
{'Value': 'Standard Grant'}
|
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
|
{'SignBlockName': 'Reha Uzsoy', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922681'}
|
This award will contribute to national prosperity and economic welfare by advancing data science methods for improving manufacturing systems combining automated machines and human workers using data from in-situ sensors. This will allow the operational uncertainties arising from human operations to be quantified and integrated into models for performance evaluation and operations planning. The award will also prepare the next generation of scientists by providing multidisciplinary research, training, and international collaboration opportunities for K-12, undergraduate, and graduate students. Our team will broadly disseminate their research findings and share data and the resulting software packages to the data science and operations engineering community.<br/><br/>This project will make significant scientific advances in data science and smart manufacturing, going beyond current methods focused on human action recognition by incorporating a contextual understanding of human motions analysis in operational analysis. The use of wrapped Gaussian distributions will introduce new mathematical and probability spaces related to human operations and novel computational approaches to related inference problems. These methods will complement current smart manufacturing research by supporting digital twins of manufacturing systems with human operational data, contributing to the body of scientific and engineering knowledge and improved industrial productivity.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/08/2024
|
07/24/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428742
|
{'FirstName': 'Chiwoo', 'LastName': 'Park', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chiwoo Park', 'EmailAddress': '[email protected]', 'NSF_ID': '000614740', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'ZipCode': '981951016', 'PhoneNumber': '2065434043', 'StreetAddress': '4333 BROOKLYN AVE NE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'WA07', 'ORG_UEI_NUM': 'HD1WMN6945W6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WASHINGTON', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'StateCode': 'WA', 'ZipCode': '981951016', 'StreetAddress': '4333 BROOKLYN AVE NE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Washington', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'WA07'}
|
[{'Code': '006Y00', 'Text': 'OE Operations Engineering'}, {'Code': '088Y00', 'Text': 'AM-Advanced Manufacturing'}]
|
2022~292121
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428742.xml'}
|
Equipment: Advancing Generative AI Research and Education: Acquisition of High-Performance Computing Equipment at the Electrical and Computer Engineering Department of PVAMU
|
NSF
|
10/01/2024
|
09/30/2026
| 493,736 | 493,736 |
{'Value': 'Standard Grant'}
|
{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}
|
{'SignBlockName': 'Joyce Belcher', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928221'}
|
The National Science Foundation Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) supports projects that enhance undergraduate science, technology, engineering, and mathematics (STEM) education and research at HBCUs, as means to broaden participation in the nation's STEM workforce. Generative Artificial Intelligence (AI) plays a pivotal role in many fields, such as big data analysis, cybersecurity, and biomedical applications, owing to its capacity to produce novel and realistic data patterns. It empowers advancements in these critical fields, ultimately fostering innovation and enhancing human welfare. This HBCU-UP equipment award provides Prairie View A&M University (PVAMU) with funding to support the purchase of a NVIDIA DGX H100 GPU server and three DELL AI-ready workstations. The team will leverage their existing research capacities and utilize the new system for more effective and efficient big data processing and predictive analysis. This project provides much-needed equipment for research in the emerging field of Generative AI and boost research and education in the areas such as big data science, machine learning, cybersecurity, and computational biology. This project advances the research in big data analytics for mission-critical applications, robust cyber defense, and smart health modernization. Additionally, it will help validate theoretical results in current funded projects, greatly strengthening and broadening big data and AI research activities at PVAMU and across disciplines. The equipment will be made available to other researchers and students at PVAMU, helping to train students by providing them with unique hands-on experience and expertise in the emerging AI and big data processing techniques. This equipment and the research it will support plays a key role in expanding student and faculty training opportunities and research across three research centers at PVAMU, thus expanding the research capacity at an HBCU in alignment with the goals outlined in the CHIPS and Science Act of 2022.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/05/2024
|
08/05/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2428761
|
[{'FirstName': 'Lijun', 'LastName': 'Qian', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lijun Qian', 'EmailAddress': '[email protected]', 'NSF_ID': '000193829', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Pamela', 'LastName': 'Obiomon', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Pamela H Obiomon', 'EmailAddress': '[email protected]', 'NSF_ID': '000372843', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Annamalai', 'LastName': 'Annamalai', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Annamalai Annamalai', 'EmailAddress': '[email protected]', 'NSF_ID': '000514227', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Xiangfang', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiangfang Li', 'EmailAddress': '[email protected]', 'NSF_ID': '000607245', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Xishuang', 'LastName': 'Dong', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xishuang Dong', 'EmailAddress': '[email protected]', 'NSF_ID': '000786357', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Prairie View A & M University', 'CityName': 'PRAIRIE VIEW', 'ZipCode': '774460519', 'PhoneNumber': '9362611689', 'StreetAddress': '100 UNIVERSITY DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'FTAAW94S6LC6', 'ORG_LGL_BUS_NAME': 'PRAIRIE VIEW A&M UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'FTAAW94S6LC6'}
|
{'Name': 'Prairie View A & M University', 'CityName': 'PRAIRIE VIEW', 'StateCode': 'TX', 'ZipCode': '77446', 'StreetAddress': '100 UNIVERSITY DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}
|
{'Code': '159400', 'Text': 'Hist Black Colleges and Univ'}
|
2024~493736
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428761.xml'}
|
RUI: Configuration Spaces of Rigid Origami
|
NSF
|
04/15/2024
|
08/31/2025
| 220,042 | 59,029 |
{'Value': 'Continuing Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Christopher Stark', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924869'}
|
Origami, the art of paper folding, has been practiced for centuries. The mathematics behind origami, however, is not yet fully understood. In particular, some origami models can be folded and unfolded in such a way that we could make the crease lines be hinges and the paper between them stiff like sheet metal. Such models are called rigidly flexible origami and have applications that span the physical and biological sciences, ranging from unfolding solar sails to collapsible heart stents. This project will add mathematical tools that allow industrial applications to employ cutting-edge research, from large-scale architectural structures to nano-scale robotics driven by origami mechanics. The tools from this project will help design self-foldable structures. Currently self-folding designs in engineering, architecture, and the biological sciences involve building physical models in a trial-and-error approach, wasting time and resources. The self-folding research provided by this project will allow designers to avoid pitfalls and tighten the design-to-realization process significantly. In addition to the research component, the PI shall organize a diverse range of educational activities including in-service teacher training and education, undergraduate mentoring and preparation for graduate school; high-school and undergraduate classes on the mathematics of folding; for the public, general-audience articles, lectures, and exhibitions. This will increase interest in STEM fields through the fun, hands-on nature of origami while simultaneously disseminating project results.<br/><br/>The methods of this project involve a blend of practical experimentation with theory. Programmed self-foldability of structures will be achieved by trimming away undesired paths from the configuration space of all possible rigid foldings. One approach is to transform a given rigid folding of a crease pattern into a kinematically equivalent rigid folding with fewer degrees of freedom. The PI has proposed such a transform and will develop others. Key to all of this, however, is gaining a better understanding of rigid origami configuration spaces, which are algebraically complicated and not well understood. The project seeks to understand, and exploit, local-to-global behavior that is present in many known examples of rigid origami. In these examples approximating the configuration space near the origin (the unfolded state) leads to exact equations for the global configuration space. Formulating rigid origami configuration spaces in this way will add insight into the general field of flexible polyhedral surfaces, as well as provide the data needed to prove the feasibility of origami crease pattern transforms and design reliably self-foldable origami mechanisms.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
04/22/2024
|
04/22/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2428771
|
{'FirstName': 'Thomas', 'LastName': 'Hull', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Thomas C Hull', 'EmailAddress': '[email protected]', 'NSF_ID': '000605706', 'StartDate': '04/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Franklin and Marshall College', 'CityName': 'LANCASTER', 'ZipCode': '176032827', 'PhoneNumber': '7173584517', 'StreetAddress': '415 HARRISBURG AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'PA11', 'ORG_UEI_NUM': 'P4NXVGAJNQK3', 'ORG_LGL_BUS_NAME': 'FRANKLIN AND MARSHALL COLLEGE', 'ORG_PRNT_UEI_NUM': 'P4NXVGAJNQK3'}
|
{'Name': 'Franklin and Marshall College', 'CityName': 'LANCASTER', 'StateCode': 'PA', 'ZipCode': '176032827', 'StreetAddress': '415 HARRISBURG AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'PA11'}
|
{'Code': '126500', 'Text': 'GEOMETRIC ANALYSIS'}
|
2021~59029
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428771.xml'}
|
III: Small: Machine Learning on Graphs with Distribution Shifts
|
NSF
|
01/01/2025
|
12/31/2027
| 600,000 | 600,000 |
{'Value': 'Standard Grant'}
|
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
|
{'SignBlockName': 'Raj Acharya', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927978'}
|
One of the key challenges in advancing artificial intelligence is improving AI models' ability to generalize across different tasks, particularly when encountering data distribution shifts from training to real-world applications. Data distribution shifts are encountered when the statistics of the learned model are different from the real-world statistics. This project focuses on enhancing machine learning with graph-structured data, a direction with the potential to revolutionize scientific discoveries in particle physics and biochemistry. In addition to contributing to advancements in these scientific fields, the project also emphasizes knowledge dissemination through curated new datasets, scalable software solutions, workshops, and tutorials. Additionally, it encourages undergraduate and K-12 students from underrepresented groups to engage in research projects through the STEM program at Georgia Tech.<br/><br/>This research will tackle the problem of distribution shifts in graph machine learning through two main research thrusts. The first thrust, graph structure calibration, aims to develop methods to estimate and mitigate shifts in entity connection patterns within graph-structured data from training to evaluation phases. It will address tasks such as node classification, regression, and link prediction. Additionally, this thrust will explore the accumulation of graph structure shifts and address challenges in open-world settings. The second thrust focuses on developing foundational models for graph data that are provably expressive, generalizable, and scalable, and investigating robust fine-tuning approaches for these models. The developed methodologies will be evaluated on particle representations in high-energy physics applications and molecule representation tasks.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/19/2024
|
08/19/2024
|
None
|
Grant
|
47.070
|
1
|
4900
|
4900
|
2428777
|
{'FirstName': 'Pan', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Pan Li', 'EmailAddress': '[email protected]', 'NSF_ID': '000810454', 'StartDate': '08/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'ZipCode': '303186395', 'PhoneNumber': '4048944819', 'StreetAddress': '926 DALNEY ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'EMW9FC8J3HN4', 'ORG_LGL_BUS_NAME': 'GEORGIA TECH RESEARCH CORP', 'ORG_PRNT_UEI_NUM': 'EMW9FC8J3HN4'}
|
{'Name': 'Georgia Institute of Technology', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303320002', 'StreetAddress': '225 North Avenue, NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}
|
{'Code': '736400', 'Text': 'Info Integration & Informatics'}
|
2024~600000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428777.xml'}
|
RAPID: Invasive hydrilla and carbon cycling: leveraging an ecosystem-scale herbicide application to investigate feedbacks between invasive plants and greenhouse gas emissions
|
NSF
|
06/15/2024
|
05/31/2025
| 196,466 | 196,466 |
{'Value': 'Standard Grant'}
|
{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}
|
{'SignBlockName': 'Robyn Smyth', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922996'}
|
Hydrilla verticillata is an invasive aquatic plant that is rapidly spreading in freshwaters across the eastern United States, including the lower Connecticut River. With large environmental and economic impacts, hydrilla is one of the most problematic invasive aquatic plants in the United States. Hydrilla forms dense submerged mats or canopies, which impact native habitats, hydrology, carbon cycling, and recreation. To control the spread of hydrilla, experimental herbicides will be applied to affected areas in the lower Connecticut River in summer 2024. This RAPID project will leverage these herbicide applications as a unique plant-removal experiment to better understand the effects of hydrilla on freshwater ecosystems. The overarching goal of the project is to understand how this invasive aquatic plant can alter carbon cycling and greenhouse gas emission in inland waters. This research is important for understanding the full impacts of invasive aquatic plants on ecosystem function and potential linkages between climate change and invasive aquatic plants via greenhouse gases. Findings will inform aquatic plant management. <br/><br/>This research will explore how carbon concentrating mechanisms that help invasives like hydrilla outcompete native species can shift ecosystem-scale primary productivity from using only carbon dioxide to also using bicarbonate, a non-gaseous form of inorganic carbon. Bicarbonate uptake by hydrilla has the potential to transfer carbon from the slow-cycling geologic pool (bicarbonate has geologic sources) to the faster-cycling biologic pool (carbon dioxide in inland waters largely comes from respiration). This study will use oxygen and carbon dioxide sensors and grab samples to compare ecosystem metabolism and carbon cycling in treated and untreated embayments. Weekly samples will be used to assess greenhouse gas emissions. Analyses will determine the extent of bicarbonate uptake by hydrilla and the cascading impacts on carbon cycling processes.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/03/2024
|
06/03/2024
|
None
|
Grant
|
47.074
|
1
|
4900
|
4900
|
2428783
|
[{'FirstName': 'Kelly', 'LastName': 'Aho', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kelly Aho', 'EmailAddress': '[email protected]', 'NSF_ID': '000846964', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Jeremiah', 'LastName': 'Foley', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': 'IV', 'PI_FULL_NAME': 'Jeremiah R Foley', 'EmailAddress': '[email protected]', 'NSF_ID': '000941818', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'ZipCode': '488242600', 'PhoneNumber': '5173555040', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MI07', 'ORG_UEI_NUM': 'R28EKN92ZTZ9', 'ORG_LGL_BUS_NAME': 'MICHIGAN STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'VJKZC4D1JN36'}
|
{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'StateCode': 'MI', 'ZipCode': '488242600', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MI07'}
|
{'Code': '738100', 'Text': 'Ecosystem Science'}
|
2024~196466
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428783.xml'}
|
SupplyChainDCL: Enhancing Resilience, Optimizing Efficiency, and Mitigating Disruption Risks in Supply Chain Networks
|
NSF
|
09/01/2024
|
08/31/2027
| 414,909 | 414,909 |
{'Value': 'Standard Grant'}
|
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
|
{'SignBlockName': 'Georgia-Ann Klutke', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922443'}
|
This award will enhance national welfare by providing a systematic framework to analyze the efficiency and resilience of demand and supply networks. These systems are challenging to analyze due to the complex interdependencies among firms in the network, which adjust their decision-making processes collectively and strategically in response to both idiosyncratic and systemic shocks. The project will develop novel tools and measures for assessing the impact of risk mitigation plans against supply and demand shocks in the network. The framework will elucidate the mechanisms by which supply shortages of specific goods and services during periods of distress can lead to price spikes and increase the fragility of the supply chain network. For instance, the project will help understand how a global semiconductor shortage can cause significant price surges in the U.S. market for second-hand cars, or how an unexpected surge in demand for hand sanitizers during the pandemic led to widespread supply shortages, impacting the industry and its related sectors. This award will also provide research opportunities for graduate students, equipping them with the tools, background, and expertise to advance research in this area.<br/><br/>The project will develop a dynamic decision-making framework to quantify the trade-offs between efficiency and resilience within supply chain networks and provide an empirical analysis of supply chain fragility. This analysis aims to assess how diversification strategies can mitigate risks associated with supply chain vulnerabilities. The research will leverage, extend, and specialize tools from dynamic games, risk management, optimization, and network theory to incorporate the incentives of firms facing information and technological constraints in establishing cost-effective demand-supply relationships and managing risks against supply and demand shocks. The framework will explicitly model both preventive actions taken by firms to hedge against potential future shocks and corrective actions implemented in response to significant disruptions. The project will lead to the development of game-theoretical algorithms for determining optimal firms' levels of investment in production capacity and for final good producers to enter into competitive risk-sharing agreements with intermediate good producers to meet unanticipated demand and hedge against production shocks. The resulting analysis will quantify the conditions under which market-based supply networks are inherently fragile, particularly when these networks prioritize routine operational efficiency over systemic robustness. Additionally, the project will explore whether public institutions can reduce inefficiencies and facilitate outcomes superior to those achieved through decentralized market operations by implementing data-driven control policies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/13/2024
|
08/13/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428786
|
{'FirstName': 'Agostino', 'LastName': 'Capponi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Agostino Capponi', 'EmailAddress': '[email protected]', 'NSF_ID': '000696462', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Columbia University', 'CityName': 'NEW YORK', 'ZipCode': '100277922', 'PhoneNumber': '2128546851', 'StreetAddress': '615 W 131ST ST', 'StreetAddress2': 'MC 8741', 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'NY13', 'ORG_UEI_NUM': 'F4N1QNPB95M4', 'ORG_LGL_BUS_NAME': 'THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Columbia University', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100277922', 'StreetAddress': '202 LOW LIBRARY 535 W 116 ST MC 4309,', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'NY13'}
|
{'Code': '006Y00', 'Text': 'OE Operations Engineering'}
|
2024~414909
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428786.xml'}
|
Equipment: CHIPS: Heterogeneous Integration and Packaging of DC-100GHz Electronics Chip and Circuits
|
NSF
|
10/01/2024
|
09/30/2026
| 1,591,823 | 1,591,823 |
{'Value': 'Standard Grant'}
|
{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}
|
{'SignBlockName': 'Joyce Belcher', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928221'}
|
The National Science Foundation Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) supports projects that enhance undergraduate science, technology, engineering, and mathematics (STEM) education and research at HBCUs, as means to broaden participation in the nation's STEM workforce. This HBCU-UP equipment award provides Florida A&M University (FAMU) with a multiple chip heterogenous integration solution including simultaneous conductive and dielectric 3D printing, chip pick and place, and in line real time characterization and testing. The system is qualified for academic research and teaching in broad area of chip science and microelectronics with capability of 1) enabling rapid prototyping through in-situ fabrication techniques of multilayer structures (>20 layers); 2) simultaneous printing both conductive and dielectric materials for printed electronic circuits, interconnection of chips, and packaging applications; 3) placing multiple chip dies in compact form and real time functional testing for heterogenous integration DC-100GHz electronics. Heterogeneously integrating multiple chips as radio frequency components, antenna, and digital controls into compact form factor is extremely important for current and future technology advances in artificial intelligence, national security, defense, wireless communication, and high-speed computations etc. The system offers and enriches hands on experiences for undergraduate and graduate students in electrical, material, and industrial engineering fields, and the research project and education development plan can further increase retention rate of undergraduate and graduate in engineering field and attract students including K-12 to develop their career in STEM field and build capacity and capability for diverse science and engineering workforce in minority serving institutions. This project also plays a key role in expanding faculty scholarship in the Department of Electrical and Computer Engineering at Florida A&M University, thus expanding the research capacity at an HBCU in alignment with the goals outlined in the CHIPS and Science Act of 2022.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/15/2024
|
08/15/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2428790
|
{'FirstName': 'Bayaner', 'LastName': 'Arigong', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bayaner Arigong', 'EmailAddress': '[email protected]', 'NSF_ID': '000756483', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Florida Agricultural and Mechanical University', 'CityName': 'TALLAHASSEE', 'ZipCode': '323070001', 'PhoneNumber': '8505993531', 'StreetAddress': '1700 LEE HALL DR #201', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'FL02', 'ORG_UEI_NUM': 'W8LKB16HV1K5', 'ORG_LGL_BUS_NAME': 'FLORIDA A & M UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'W8LKB16HV1K5'}
|
{'Name': 'Florida Agricultural and Mechanical University', 'CityName': 'TALLAHASSEE', 'StateCode': 'FL', 'ZipCode': '323070001', 'StreetAddress': '1700 LEE HALL DR #201', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'FL02'}
|
{'Code': '159400', 'Text': 'Hist Black Colleges and Univ'}
|
2024~1591823
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428790.xml'}
|
Conference: Uncertainty Quantification for Machine Learning Integrated Physics Modeling (UQ-MLIP 2024); Arlington, Virginia; 12-14 August 2024
|
NSF
|
08/01/2024
|
07/31/2025
| 16,800 | 16,800 |
{'Value': 'Standard Grant'}
|
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
|
{'SignBlockName': 'Wendy C. Crone', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032920000'}
|
This award provides travel support for 14 early career researchers to attend the 2024 Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling (UQ-MLIP 2024), to be held in Crystal City, Arlington, Virginia, 12-14 August 2024. This thematic conference will provide an interdisciplinary coverage of uncertainty quantification for scientific machine learning and physics modeling. It will bring together leading experts, scientists, and young researchers from both academia and industry, with the goal of exchanging the latest developments on these topics and identifying challenges and opportunities to push this interdisciplinary research effort forward. The conference will feature technical presentations by invited speakers, a poster contest, and two panel sessions addressing challenges and future directions. This award will broaden the participation of a diverse set of participants, including women and underrepresented minorities, early career researchers and students, mid-career and senior faculty, as well as representatives from federal agencies and private companies. Dissemination will be achieved through workshop proceedings. A detailed summary about challenges and opportunities will be made available to the community at large.<br/><br/>Computational models of real-world systems are increasingly integrating data-driven models from the field of machine learning with physics-based models derived on, or informed by, first-principles. It is thus of greatest importance to carefully characterize and quantify the uncertainties associated with each model class under realistic scenarios where data can be scarce and limited. Furthermore, the propagation of parametric and model-form uncertainties to the outcomes of the integrated models demands for the construction of novel approaches or extensions of existing methodologies. Other topics that would benefit from such developments include digital twinning, model reduction, large scale integrated computations, and decision making in computational science and engineering. Applications of these methods hold the promise to push the boundaries of modeling, inverse identification, and simulation and experimental characterization in mechanics of materials and structures across scales. This thematic conference will facilitate the exchange of information on these topics, providing interdisciplinary collaboration and networking opportunities to a broad and diverse audience including early career researchers, faculty, students, stakeholders, and industrial partners.<br/><br/>This project is jointly funded by the Division of Civil, Mechanical and Manufacturing Innovation (CMMI) in the Engineering (ENG) directorate and the Office of Advanced Cyberinfrastructure (OAC) in the Computer and Information Science and Engineering (CISE) directorate.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/20/2024
|
06/20/2024
|
None
|
Grant
|
47.041, 47.070
|
1
|
4900
|
4900
|
2428802
|
{'FirstName': 'Johann', 'LastName': 'Guilleminot', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Johann Guilleminot', 'EmailAddress': '[email protected]', 'NSF_ID': '000732781', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Duke University', 'CityName': 'DURHAM', 'ZipCode': '277054640', 'PhoneNumber': '9196843030', 'StreetAddress': '2200 W MAIN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'NC04', 'ORG_UEI_NUM': 'TP7EK8DZV6N5', 'ORG_LGL_BUS_NAME': 'DUKE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Duke University', 'CityName': 'DURHAM', 'StateCode': 'NC', 'ZipCode': '277054640', 'StreetAddress': '2200 W MAIN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'NC04'}
|
[{'Code': '163000', 'Text': 'Mechanics of Materials and Str'}, {'Code': '736100', 'Text': 'EDUCATION AND WORKFORCE'}]
|
2024~16800
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428802.xml'}
|
Travel: Symposium on Science and Technology Driving the Bioeconomy 2024
|
NSF
|
06/01/2024
|
05/31/2025
| 19,000 | 19,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Carole Read', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922418'}
|
This award is partial support of the 2024 Symposium on Stakeholders Perspective on the Bioeconomy as part of the meeting of the USDA S-1075 Multistate Committee. The biobased economy has potential to produce biofuels and bioproducts in an environmentally sustainable way. This consortia of researchers from 35 land grant universities address barriers to a bioeconomy including challenges in feedstock logistics and conversion technologies. Annual meetings of the S-1045 multistate committee are held to coordinate and share research from land grant universities across the nation. Symposiums are organized with leading researchers and speakers from funding agencies to share the latest research knowledge and coordinate future research.<br/><br/>The 2024 S-1075 Multistate Committee annual symposium will be held at the South Dakota State University. The meeting is planned to occur on July 25-26, 2024. The goal of the 2024 symposium is to develop an understanding of the key challenges when trying to commercialize bioenergy and bioproduct technologies. NSF funding will be used to support graduate students to attend this symposium and to meet with member researchers from approximately 35 land grant institutions. This is a meeting where the students can interact with the entire sector of the bioeconomy including researchers, producers, processors, financial sector, and government agencies. This will help in orienting the next workforce generation to challenges and opportunities in the bioeconomy. The proceedings from the symposium will be published and distributed widely to interested audience by S-1045 members.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/17/2024
|
06/17/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428804
|
[{'FirstName': 'Christopher', 'LastName': 'Saffron', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christopher M Saffron', 'EmailAddress': '[email protected]', 'NSF_ID': '000589568', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Lin', 'LastName': 'Wei', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lin Wei', 'EmailAddress': '[email protected]', 'NSF_ID': '000615362', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Jian', 'LastName': 'Shi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jian Shi', 'EmailAddress': '[email protected]', 'NSF_ID': '000724094', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Tyler', 'LastName': 'Barzee', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tyler J Barzee', 'EmailAddress': '[email protected]', 'NSF_ID': '000873558', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Ewumbua', 'LastName': 'Monono', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ewumbua M Monono', 'EmailAddress': '[email protected]', 'NSF_ID': '000929074', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'ZipCode': '488242600', 'PhoneNumber': '5173555040', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MI07', 'ORG_UEI_NUM': 'R28EKN92ZTZ9', 'ORG_LGL_BUS_NAME': 'MICHIGAN STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'VJKZC4D1JN36'}
|
{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'StateCode': 'MI', 'ZipCode': '488242600', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MI07'}
|
[{'Code': '140300', 'Text': 'Proc Sys, Reac Eng & Mol Therm'}, {'Code': '149100', 'Text': 'Cellular & Biochem Engineering'}, {'Code': '764300', 'Text': 'EnvS-Environmtl Sustainability'}, {'Code': '764400', 'Text': 'EchemS-Electrochemical Systems'}]
|
2024~19000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428804.xml'}
|
RAPID: Assessing Bridge Collapse Risk - Learning from the Francis Scott Key Bridge Collapse, Baltimore, Maryland, March 2024
|
NSF
|
05/01/2024
|
04/30/2025
| 200,000 | 200,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
|
{'SignBlockName': 'Joy Pauschke', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927024'}
|
The collapse of the Francis Scott Key Bridge in Baltimore, Maryland, on March 26, 2024, caused by a collision with an aberrant cargo ship, raises several urgent questions regarding the safety and protection of critical bridges in the United States. To assure the safety and protection of American bridges, the risk posed by the tremendous increase in shipping volume and ship sizes must be assessed. With the need to make decisions quickly to rebuild the Key Bridge and invest in retrofits and protections to existing critical bridges, there are billions of dollars in infrastructure investment at stake. These urgent investment decisions, to be considered by agencies such as the National Transportation Safety Board and Maryland State and Federal Highway Administrations, will benefit from accurate assessment of bridge collapse risk. The impetus to make these critical investments is perishable. To meet this pressing need, this grant for Rapid Response Research (RAPID) will estimate the annual probability that a bridge collapse inducing ship collision will occur and then will compare this probability to existing standards for bridge risk analysis and design. By estimating the annual probability of occurrence, the project will aim to provide vital insight into whether existing U.S. bridge infrastructure is vulnerable to similar collisions or whether the Key Bridge disaster was, in fact, a rare event. The project further will aim to assess the evolution of collision probabilities from the 1970s, when the Key Bridge was built, to modern day to observe how risk to critical bridges has changed over the past 50 years due to increasing ship traffic and the huge growth in vessel size, with a particular focus on estimating future risk to enable informed decision-making processes in both rebuilding and retrofitting efforts. <br/><br/>To estimate annual collision probabilities over time, the project will evaluate global ship Automatic Identification System (AIS) data to estimate the probability of large vessels aberrating from their course near a major U.S. bridge. These AIS data report heading, speed, destination, and status data for every ship globally in transit and provide an abundant stream of historical shipping data from which to assess aberrancy probability. Combining these aberrancy probabilities with estimates of shipping traffic in major American ports and near critical bridges will further allow the estimation of the time evolving collision probabilities for the Key Bridge and other critical bridges in the U.S. These estimates will be used to inform risk analysis for critical bridges by modeling ship collisions as a Poisson process and considering the economic impacts and potential loss of life associated with major bridge collapse. The project, therefore, will aim to answer the fundamental question of evolving bridge collapse risk in the United States to provide decision-makers with immediately actionable data as they prepare to invest in new bridges and bridge protections where needed, revise design standards and shipping practices if necessary, and reconsider risk tolerance in the wake of the Key Bridge disaster.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/08/2024
|
05/08/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428805
|
[{'FirstName': 'Benjamin', 'LastName': 'Schafer', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Benjamin W Schafer', 'EmailAddress': '[email protected]', 'NSF_ID': '000399849', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Rachel', 'LastName': 'Sangree', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rachel H Sangree', 'EmailAddress': '[email protected]', 'NSF_ID': '000530696', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Michael', 'LastName': 'Shields', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael D Shields', 'EmailAddress': '[email protected]', 'NSF_ID': '000652930', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'ZipCode': '212182608', 'PhoneNumber': '4439971898', 'StreetAddress': '3400 N CHARLES ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MD07', 'ORG_UEI_NUM': 'FTMTDMBR29C7', 'ORG_LGL_BUS_NAME': 'THE JOHNS HOPKINS UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'StateCode': 'MD', 'ZipCode': '212182608', 'StreetAddress': '3400 N CHARLES ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MD07'}
|
{'Code': '073Y00', 'Text': 'ECI-Engineering for Civil Infr'}
|
2024~200000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428805.xml'}
|
Conference: 98th ACS Colloid & Surface Science Symposium
|
NSF
|
08/01/2024
|
07/31/2025
| 5,000 | 5,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Shahab Shojaei-Zadeh', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928045'}
|
The award will partially cover travel expenses of graduate students, post-doctoral researchers, junior faculty members, and invited speakers from institutions in the United States to participate in the conference entitled, "98th American Chemical Society Colloid & Surface Science Symposium,” which will be held in Seattle, WA, June 23-26, 2024. This is the largest annual meeting of the Colloids community with 500 anticipated attendees. The intellectual merit of this symposium lies in the exchange of scientific ideas, presentations of cutting-edge research, and exposure to a richly diverse array of topics in many areas relevant to the CBET community including technical sessions on Active Matter, Colloids for Energy and Sustainability, Self- and Directed Assembly, Wetting and Adhesion, and Machine Learning and AI for Colloids. The conference will be attended by both prominent and young scientists who will be discussing present and future directions of research and research challenges. The conference will foster cross-fertilization of ideas among researchers in cutting-edge areas of colloids, soft- and active matter, self- and directed assembly, and relevant emergent areas and will address challenges involved in advancing the field. <br/><br/>The American Chemical Society Colloid and Surface Science Symposium is a long standing and most recognized in the areas of colloid and interfacial sciences. The meeting at University of Washington will be organized into oral and poster sessions that cover many research areas and includes topics that are of special relevance to industry. Special consideration is given to young leaders in the field and underrepresented minority researchers to present their research and/or serve as session chairs. The diversity of the speakers and organizers helps maintain a high degree of creativity and innovation alongside well-established work in the field. The organization of the symposium involves a wide circle of faculty from regional universities as well as representatives from non-educational institutions and companies in the area. The funds will be used to support the registration costs for invited participants to the meeting, including but not limited to students, postdoctoral scholars, faculty members, and industry speakers for Connect the Dots Session. The NSF support will be utilized with a special emphasis on supporting underrepresented students, increasing participant diversity and involving early career researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/01/2024
|
08/01/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428833
|
[{'FirstName': 'Lilo', 'LastName': 'Pozzo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lilo Pozzo', 'EmailAddress': '[email protected]', 'NSF_ID': '000484950', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'James', 'LastName': 'De Yoreo', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'James J De Yoreo', 'EmailAddress': '[email protected]', 'NSF_ID': '000823273', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Shuai', 'LastName': 'Zhang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shuai Zhang', 'EmailAddress': '[email protected]', 'NSF_ID': '000864465', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Zachary', 'LastName': 'Sherman', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Zachary M Sherman', 'EmailAddress': '[email protected]', 'NSF_ID': '000994706', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'ZipCode': '981951016', 'PhoneNumber': '2065434043', 'StreetAddress': '4333 BROOKLYN AVE NE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'WA07', 'ORG_UEI_NUM': 'HD1WMN6945W6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WASHINGTON', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'StateCode': 'WA', 'ZipCode': '981951016', 'StreetAddress': '4333 BROOKLYN AVE NE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Washington', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'WA07'}
|
{'Code': '141500', 'Text': 'PMP-Particul&MultiphaseProcess'}
|
2024~5000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428833.xml'}
|
Conference: Knots in Washington: Conferences on Knot Theory and its Ramifications
|
NSF
|
10/01/2024
|
09/30/2027
| 20,000 | 20,000 |
{'Value': 'Standard Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Christopher Stark', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924869'}
|
This award provides support for the 50th Knots in Washington conference that will take place at George Washington University in Washington, DC, December 6-8, 2024. Knot theory is not only a central part of mathematics, but it also has deep connections to physics, chemistry and biology. The series covers cutting edge topics from knot theory and its ramifications. Organizers will strongly encourage students and junior researchers, as well as members of under-represented groups to participate in this event and engage in formal and informal research collaborations. <br/><br/>An example of a chain of breakthrough in modern knot theory includes: Thurston Geometrization of 3-dimensional manifolds (Perelman theorem), Jones link polynomial (quantum knot invariants, e.g. HOMFLYPT and Kauffman polynomials), Vassiliev (finite type) invariants, Khovanov homology, Ozsvath--Szabo, Heegaard--Floer homology, and Witten Conjecture on skein modules of closed 3-manifolds. All of these topics were covered at Knots in Washington conferences as they were emerging and before they became a part of mainstream research. The series continues to ensure coverage of current trends in knot theory and low dimensional topology. More information is available at the conference website: https://blogs.gwu.edu/ccas-knotsinwashington/.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/31/2024
|
07/31/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2428878
|
[{'FirstName': 'Valentina', 'LastName': 'Harizanov', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Valentina Harizanov', 'EmailAddress': '[email protected]', 'NSF_ID': '000334683', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Jozef', 'LastName': 'Przytycki', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jozef H Przytycki', 'EmailAddress': '[email protected]', 'NSF_ID': '000143867', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Mikhail', 'LastName': 'Khovanov', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mikhail G Khovanov', 'EmailAddress': '[email protected]', 'NSF_ID': '000116638', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Radmila', 'LastName': 'Sazdanovic', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Radmila Sazdanovic', 'EmailAddress': '[email protected]', 'NSF_ID': '000577934', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Mee Seong', 'LastName': 'Im', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mee Seong Im', 'EmailAddress': '[email protected]', 'NSF_ID': '000850773', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'George Washington University', 'CityName': 'WASHINGTON', 'ZipCode': '200520042', 'PhoneNumber': '2029940728', 'StreetAddress': '1918 F ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'ECR5E2LU5BL6', 'ORG_LGL_BUS_NAME': 'GEORGE WASHINGTON UNIVERSITY (THE)', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'George Washington University', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200520042', 'StreetAddress': '1918 F ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}
|
{'Code': '126700', 'Text': 'TOPOLOGY'}
|
2024~20000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428878.xml'}
|
Hilton Head Workshop 2024 (HH2024): A Solid-State Sensors, Actuators, and Microsystems Workshop; Hilton Head, South Carolina; 2-6 June 2024
|
NSF
|
06/01/2024
|
11/30/2024
| 20,067 | 20,067 |
{'Value': 'Standard Grant'}
|
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
|
{'SignBlockName': 'Tom Kuech', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922218'}
|
This grant will support travel of students and post-doctoral researchers who are US citizens or US permanent residents to attend the Hilton Head Workshop 2024 (HH2024): A Solid-State Sensors, Actuators, and Microsystems Workshop. Specifically, this grant enables the HH2024 organizing committee to support participation of diverse attendees with a focus on those underrepresented. The committee will select the awardees from the pool of high school, undergraduate and graduate students, and postdoctoral researchers who are the first or second authors of the accepted papers. HH2024 organizing committee will target awarding approximately 50 percent of the awards to women or underrepresented minorities. <br/><br/>The 21st in the series of Hilton Head Workshops (HH2024) on the science and technology of Solid-State Sensors, Actuators, and Microsystems will take place 2-6 June 2024 at the Sonesta Resort on Hilton Head Island, South Carolina. This exciting multidisciplinary event has occurred biennially since 1984, and this year the Hilton Head Workshop’s 40th anniversary will celebrate Micro-Electro-Mechanical Systems (MEMS) and microsystems successes over the past four decades. Additionally, participants will look ahead to the challenges and opportunities for the field to contribute to addressing national and global grand challenges in the next 40 years. The HH2024 Workshop is the prominent and top-tier conference in the field of microelectromechanical systems (MEMS) and Microsystems and related fields, and is expected to draw 350-500 academic, industry, and government participants from diverse engineering and scientific backgrounds, including chemistry, materials science, chemical engineering, electrical engineering, mechanical engineering, physics, biology, and bioengineering. This year’s workshop will have a focus on design, fabrication and manufacturing of emerging nano/microscale device and systems for sensing, actuation, and computing with broad impact on biomedical, energy, information processing and quantum technologies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/20/2024
|
06/20/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428891
|
[{'FirstName': 'Roozbeh', 'LastName': 'Tabrizian', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Roozbeh Tabrizian', 'EmailAddress': '[email protected]', 'NSF_ID': '000708957', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Farnaz', 'LastName': 'Niroui', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Farnaz Niroui', 'EmailAddress': '[email protected]', 'NSF_ID': '000798402', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University of Florida', 'CityName': 'GAINESVILLE', 'ZipCode': '326111941', 'PhoneNumber': '3523923516', 'StreetAddress': '1523 UNION RD RM 207', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'FL03', 'ORG_UEI_NUM': 'NNFQH1JAPEP3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF FLORIDA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Florida', 'CityName': 'GAINESVILLE', 'StateCode': 'FL', 'ZipCode': '326111941', 'StreetAddress': '1523 UNION RD RM 207', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'FL03'}
|
[{'Code': '088Y00', 'Text': 'AM-Advanced Manufacturing'}, {'Code': '151700', 'Text': 'EPMD-ElectrnPhoton&MagnDevices'}, {'Code': '756400', 'Text': 'CCSS-Comms Circuits & Sens Sys'}]
|
2024~20067
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428891.xml'}
|
Collaborative Research: Deformation-Dependent Adhesion of Stretched Compliant Networked Polymer Systems
|
NSF
|
01/01/2024
|
03/31/2025
| 391,340 | 272,926 |
{'Value': 'Standard Grant'}
|
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
|
{'SignBlockName': 'David Fyhrie', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922107'}
|
This grant will focus on developing a fundamental understanding of how changing the shape of soft, adhesive materials -- for example, through stretching or compression -- modifies their adhesive properties. Modern theories of adhesion were originally developed to describe contact with relatively stiff materials like rubber, but much softer sticky materials are ubiquitous in biology, medicine, engineering, and everyday consumer products. Over the past decade, soft solid surface mechanics has emerged as an exciting new field of study, driven largely by the surprising discovery that classic theories fail to describe the contact behavior of compliant materials and that soft materials adhere very differently than their stiffer counterparts. Recent experiments, theory, and simulations have revealed a rich array of new physics and suggest a powerful new design space for engineering applications. The fundamental discoveries and materials developed through this research project will enable the development of new strain-controlled, responsive adhesives and will also involve student researchers at various stages of their educational careers from undergraduates to postdoctoral scholars. An “Adhesion Engineering Summer Camp” will be established to bring Williams College students to visit Purdue University each summer of the project.<br/><br/>The surface properties of compliant polymers have been shown to change as a function of bulk deformation in previously-unanticipated ways. While recent debates over the nature of strain-dependent surface stress in soft solids have motivated numerous experimental and theoretical studies, much less work has focused on strain-dependent adhesion. By performing measurements that directly investigate the normal adhesive response of compliant network polymer systems as a function of both quasi-static and dynamic deformation using integrated mechanical testing and direct imaging, this project will establish a fundamental understanding of how the adhesion of soft materials is modified by deformation across a broad range of length scales, time scales, and material properties. The interplay between strain, adhesion energy, network architecture, and material relaxation mechanisms will be investigated through the experimental, numerical, and theoretical work in this collaborative grant. The specific research objectives of the project will be to (i) quantify quasistatic adhesion to stretched, compliant network polymer systems across length scales and (ii) characterize the adhesive response of compliant networked polymer systems during dynamic deformation.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/08/2024
|
05/08/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428898
|
{'FirstName': 'Chelsea', 'LastName': 'Davis', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chelsea S Davis', 'EmailAddress': '[email protected]', 'NSF_ID': '000756031', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Delaware', 'CityName': 'NEWARK', 'ZipCode': '197160099', 'PhoneNumber': '3028312136', 'StreetAddress': '220 HULLIHEN HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Delaware', 'StateCode': 'DE', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DE00', 'ORG_UEI_NUM': 'T72NHKM259N3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF DELAWARE', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Delaware', 'CityName': 'NEWARK', 'StateCode': 'DE', 'ZipCode': '197160099', 'StreetAddress': 'NEWARK, DE 197160099', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Delaware', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DE00'}
|
{'Code': '163000', 'Text': 'Mechanics of Materials and Str'}
|
2022~272926
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428898.xml'}
|
Collaborative Research: Two-dimensional Perovskite Templated Organic Semiconductor Crystallization for Highly Tunable Exciton and Charge Transfer and Conversion
|
NSF
|
08/15/2024
|
07/31/2027
| 328,153 | 328,153 |
{'Value': 'Standard Grant'}
|
{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}
|
{'SignBlockName': 'Paul Lane', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922453'}
|
Nontechnical<br/><br/>Organic semiconductors and metal halide perovskites are intensively studied materials for a range of clean energy and consumer applications such as solar cells, flexible electronics, and sensors. Although organic semiconductors have great promise, they exhibit significantly different electrical and optical properties depending on the crystal structure created when assembled into solid films. This impacts their potential for use in optoelectronic devices. Although there is a well-recognized need to precisely control crystal structure to manipulate or optimize material behaviors, there is a very limited experimental toolkit for doing so. In this project, the researchers aim to use perovskites as a templating layer that can control the crystal properties of organic films deposited on top. X-ray scattering and ultrafast spectroscopy are used to evaluate the structural properties of organic thin films, and their effect on the optical and electronic properties. This approach allows investigators to finely tune the underlayer periodicity and chemistry simultaneously and thereby optimize the efficiency of energy and charge transport. This paradigm can be used to design better solar cells, light-emitting diodes, and other optoelectronic devices. Students are engaged in the research through training and guidance by the principal investigators and participate in regular meetings between the groups. In addition, the project team is committed to promoting diversity by encouraging recruitment and retention of underrepresented groups to the project, and leading outreach efforts in the community targeted towards middle and high school students.<br/><br/>Technical<br/>The goal of this project is to develop two-dimensional metal halide perovskites (2D MHPs) as a crystallization templating tool for organic semiconductor (OSC) thin films, to reduce the disorder in crystalline packing, and to control packing geometries for tuning optoelectronic behaviors, including singlet fission and exciton transport. These controlled heterostructures can then be utilized for photovoltaic devices. Numerous research thrusts have focused on how changing the OSC chemistry can impact exciton transport and energy transfer, which generally result in large crystal structure changes, but there is relatively less information on how to finely control the solid-state structure of the OSC to control optoelectronic behavior, and by extension, device performance. This understanding is necessary for controlling processes such as singlet fission and exciton transport, as sub-Angstrom changes in molecular packing can cause significant changes in these behaviors. This project aims to address three objectives: 1) Understanding how 2D MHP thin films can control various OSC thin-film crystalline properties (order, polymorphism, orientation) through lattice registry, 2) Controlling exciton transfer (including singlet fission) and transport in 2D MHP templated OSCs by utilizing these sub-Angstrom changes, and 3) Controlling the heterostructure transport between the 2D MHP layer and the OSC. The research focuses on the prototypical OSC molecule perylenediimide, but the knowledge gained is relevant for other OSCs as well. The success of this project can result in a novel method of controlling the order, packing, and orientation of OSCs and understanding and manipulating structure-property relationships between templated OSCs and optoelectronic properties. There is a scarcity of fundamental knowledge relating to sub-Angstrom changes in OSC solid-state packing and their resulting optoelectronic behavior. The work addresses this gap and advances the knowledge of crystal structure and optoelectronics. The use of a 2D MHP template to reduce defects as well as change the crystal packing while still creating stable structures would be a significant departure from the current understanding of creating ordered OSC thin films, and the optoelectronic control afforded by these structures can open new doors for device applications.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/08/2024
|
07/08/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2428900
|
[{'FirstName': 'Gaurav', 'LastName': 'Giri', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gaurav Giri', 'EmailAddress': '[email protected]', 'NSF_ID': '000730335', 'StartDate': '07/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Charles', 'LastName': 'Machan', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Charles W Machan', 'EmailAddress': '[email protected]', 'NSF_ID': '000757048', 'StartDate': '07/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University of Virginia Main Campus', 'CityName': 'CHARLOTTESVILLE', 'ZipCode': '229034833', 'PhoneNumber': '4349244270', 'StreetAddress': '1001 EMMET ST N', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'VA05', 'ORG_UEI_NUM': 'JJG6HU8PA4S5', 'ORG_LGL_BUS_NAME': 'RECTOR & VISITORS OF THE UNIVERSITY OF VIRGINIA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Virginia Main Campus', 'CityName': 'CHARLOTTESVILLE', 'StateCode': 'VA', 'ZipCode': '229034833', 'StreetAddress': '1001 EMMET ST N', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'VA05'}
|
{'Code': '177500', 'Text': 'ELECTRONIC/PHOTONIC MATERIALS'}
|
2024~328153
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428900.xml'}
|
Collaborative Research: Two-dimensional Perovskite Templated Organic Semiconductor Crystallization for Highly Tunable Exciton and Charge Transfer and Conversion
|
NSF
|
08/15/2024
|
07/31/2027
| 371,847 | 371,847 |
{'Value': 'Standard Grant'}
|
{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}
|
{'SignBlockName': 'Paul Lane', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922453'}
|
Nontechnical<br/><br/>Organic semiconductors and metal halide perovskites are intensively studied materials for a range of clean energy and consumer applications such as solar cells, flexible electronics, and sensors. Although organic semiconductors have great promise, they exhibit significantly different electrical and optical properties depending on the crystal structure created when assembled into solid films. This impacts their potential for use in optoelectronic devices. Although there is a well-recognized need to precisely control crystal structure to manipulate or optimize material behaviors, there is a very limited experimental toolkit for doing so. In this project, the researchers aim to use perovskites as a templating layer that can control the crystal properties of organic films deposited on top. X-ray scattering and ultrafast spectroscopy are used to evaluate the structural properties of organic thin films, and their effect on the optical and electronic properties. This approach allows investigators to finely tune the underlayer periodicity and chemistry simultaneously and thereby optimize the efficiency of energy and charge transport. This paradigm can be used to design better solar cells, light-emitting diodes, and other optoelectronic devices. Students are engaged in the research through training and guidance by the principal investigators and participate in regular meetings between the groups. In addition, the project team is committed to promoting diversity by encouraging recruitment and retention of underrepresented groups to the project, and leading outreach efforts in the community targeted towards middle and high school students.<br/><br/>Technical<br/>The goal of this project is to develop two-dimensional metal halide perovskites (2D MHPs) as a crystallization templating tool for organic semiconductor (OSC) thin films, to reduce the disorder in crystalline packing, and to control packing geometries for tuning optoelectronic behaviors, including singlet fission and exciton transport. These controlled heterostructures can then be utilized for photovoltaic devices. Numerous research thrusts have focused on how changing the OSC chemistry can impact exciton transport and energy transfer, which generally result in large crystal structure changes, but there is relatively less information on how to finely control the solid-state structure of the OSC to control optoelectronic behavior, and by extension, device performance. This understanding is necessary for controlling processes such as singlet fission and exciton transport, as sub-Angstrom changes in molecular packing can cause significant changes in these behaviors. This project aims to address three objectives: 1) Understanding how 2D MHP thin films can control various OSC thin-film crystalline properties (order, polymorphism, orientation) through lattice registry, 2) Controlling exciton transfer (including singlet fission) and transport in 2D MHP templated OSCs by utilizing these sub-Angstrom changes, and 3) Controlling the heterostructure transport between the 2D MHP layer and the OSC. The research focuses on the prototypical OSC molecule perylenediimide, but the knowledge gained is relevant for other OSCs as well. The success of this project can result in a novel method of controlling the order, packing, and orientation of OSCs and understanding and manipulating structure-property relationships between templated OSCs and optoelectronic properties. There is a scarcity of fundamental knowledge relating to sub-Angstrom changes in OSC solid-state packing and their resulting optoelectronic behavior. The work addresses this gap and advances the knowledge of crystal structure and optoelectronics. The use of a 2D MHP template to reduce defects as well as change the crystal packing while still creating stable structures would be a significant departure from the current understanding of creating ordered OSC thin films, and the optoelectronic control afforded by these structures can open new doors for device applications.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/08/2024
|
07/08/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2428901
|
{'FirstName': 'Arthur', 'LastName': 'Bragg', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Arthur Bragg', 'EmailAddress': '[email protected]', 'NSF_ID': '000601192', 'StartDate': '07/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'ZipCode': '212182608', 'PhoneNumber': '4439971898', 'StreetAddress': '3400 N CHARLES ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MD07', 'ORG_UEI_NUM': 'FTMTDMBR29C7', 'ORG_LGL_BUS_NAME': 'THE JOHNS HOPKINS UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'StateCode': 'MD', 'ZipCode': '212182608', 'StreetAddress': '3400 N CHARLES ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MD07'}
|
{'Code': '177500', 'Text': 'ELECTRONIC/PHOTONIC MATERIALS'}
|
2024~371847
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428901.xml'}
|
I-Corps: Translation Potential of Digital Twin and Artificial Intelligence for Building Maintenance Management
|
NSF
|
06/01/2024
|
05/31/2025
| 50,000 | 50,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Molly Wasko', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924749'}
|
The broader impact of this I-Corps project is the development of a scalable and adaptable technology utilizing digital twins and artificial intelligence (AI) to build maintenance management. The built environment accounts for approximately 45% of global carbon emissions and comprises almost 75% of building operating costs. Cutting-edge technologies such as digital twins and artificial intelligence (AI) are promising for synthesizing big data from sensors, automation systems, maintenance activities, and building occupancy. The proprietary technology of this I-Corps project will transform building operations and maintenance practices into a data-driven structure to predict possible failures and defects of critical building systems with simulations for risk scenarios. Together with the operational benefits, this technology will enhance occupant comfort, safety, and well-being, as well as improve the longevity, durability, and sustainability of the built environment. Overall, the technology will lead to buildings that are smarter and more responsive. <br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of a technology for building maintenance management that utilizes a digital twin that connects various data resources such as building automation, controls, and sensors to maintenance management systems with artificial intelligence (AI) to predict possible failures and defects with simulations for risk scenarios. The technology enables the interoperability of various data sets and provides simulations of potential failures with risk scenarios such as cost, safety, and impact on critical systems. Predictive models improve efficiency by utilizing big data to uncover trends and anomalies that are obscured in manual observation methods. The combination of digital twin technology and AI opens a wide range of possibilities to visualize building information based on operational data. Action plans support the decision-making processes with effective resource allocation and reduced equipment downtime.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/21/2024
|
05/21/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2428909
|
{'FirstName': 'Deniz', 'LastName': 'Besiktepe', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Deniz Besiktepe', 'EmailAddress': '[email protected]', 'NSF_ID': '000937040', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'ZipCode': '479061332', 'PhoneNumber': '7654941055', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IN04', 'ORG_UEI_NUM': 'YRXVL4JYCEF5', 'ORG_LGL_BUS_NAME': 'PURDUE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'YRXVL4JYCEF5'}
|
{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'StateCode': 'IN', 'ZipCode': '479072021', 'StreetAddress': '401 N. Grant Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'IN04'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428909.xml'}
|
RAPID: Sampling corals threatened by extreme El Nino warming for climate reconstruction (Galapagos, Ecuador)
|
NSF
|
05/01/2024
|
04/30/2025
| 94,686 | 94,686 |
{'Value': 'Standard Grant'}
|
{'Code': '06040200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}
|
{'SignBlockName': 'Gail Christeson', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922952'}
|
This project supports the collection of coral samples from the Galapagos National Park, in Ecuador. The Galapagos are experiencing a period of exceptionally strong warm ocean temperatures, related to the phenomenon known as El Niño that recurs every few years. In the past, such warm conditions have resulted in widespread death of corals, followed by the erosion of those skeletons by other marine animals. The skeletons of the corals themselves are valuable for climate research: the chemistry of the skeleton reflects the conditions under which the coral grew, and the corals have persisted for several decades. This project will sample and analyze these coral skeletons for climate history before erosion can damage them. The samples from modern corals will be compared with fossil coral records from the same region to better understand how the El Niño phenomenon is responding to the warming of the global climate. Broader impacts include field experience for a graduate student, support for undergraduate research, and collaborations with a local student and Park ranger at the Galápagos National Park and Charles Darwin Research Station.<br/><br/>This RAPID project supports coral sampling in the central Galápagos archipelago, where an ongoing strong El Niño event threatens the preservation of coral-based climate records that are critical to quantify past and ongoing changes in El Niño/Southern Oscillation (ENSO) variability. Coral cores preserve quantitatively useful information about past climate variability in the geochemistry of their aragonite (CaCO3) skeletons. The Galápagos lie in the heart of the eastern equatorial Pacific where ENSO extremes create the largest sea surface temperature anomalies. The strong ENSO events of the late 20th century triggered massive coral mortality across the archipelago, e.g. >95% in 1982-3. The corals that have regrown over the past ~40 years contain valuable records of local sea surface temperature variability that are critically important to place paleoclimate records in context. These corals are likely to be stressed and degraded beyond the point of usefulness under the exceptionally warm conditions in Galápagos that has characterized the past several months (and is still ongoing). Previous work on Galapagos corals, both fossil and modern, documents unprecedented increases in ENSO intensity in the last 40 years, relative to the past millennium. Although the recent history of sea surface temperature from instrumental and satellite measures is known, modern coral records are needed to quantify the change over time and relate directly to fossil records. This project will also explore whether central Galapagos corals preserve a signal of ocean circulation – the isotopically distinct Equatorial Undercurrent. If detectable in coral data, this signal would add an important dynamical component to the interpretation of past change in ENSO variability. Coral paleoclimate results from the central archipelago that postdate the 1982 El Niño have never been published. The project trains a mid-career graduate student in field methods and will bring samples into a lab where undergraduates will gain experience in sampling and analyzing them. Project results in the Galápagos will be disseminated through broad channels, including public talks and Spanish-language presentations at the Galápagos National Park.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
04/24/2024
|
04/24/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2428926
|
{'FirstName': 'Julia', 'LastName': 'Cole', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Julia E Cole', 'EmailAddress': '[email protected]', 'NSF_ID': '000298249', 'StartDate': '04/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'ZipCode': '481091079', 'PhoneNumber': '7347636438', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': 'GNJ7BBP73WE9', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'StateCode': 'MI', 'ZipCode': '481091079', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'MI06'}
|
{'Code': '162000', 'Text': 'Marine Geology and Geophysics'}
|
2024~94686
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428926.xml'}
|
EAGER: Lock-in IR Thermography for Thermal Resistance Characterization of Interconnects in 3D Die Stacks
|
NSF
|
11/01/2024
|
10/31/2026
| 300,000 | 148,154 |
{'Value': 'Continuing Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Sumanta Acharya', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924509'}
|
High performance microelectronic devices require stacking of individual silicon dies into complex three-dimensional assemblies to meet the needs of high rates of data transfer between logic and memory. Interfaces between dies, however, create thermal resistances that impede the transfer of up to 1 kilowatt of heat from the three-dimensional device into the adjacent heat exchanger. Limitations on device performance that are imposed by inadequate heat transfer are ubiquitous in the microelectronics industry. Thermal metrology tools that are applicable in an industrial setting will improve the ability of engineers to design thermal management solutions, monitor assembly processes, and analyze failure mechanisms. The objective of this project is to advance the science and engineering of thermal property measurement and develop a metrology tool that can meet the needs of industry. This work will also provide training for PhD students in the science and engineering of thermal management in the microelectronics industry. <br/><br/>This project will develop lock-in infrared thermography for the measurement of thermal resistances in three-dimensional integrated circuits. Lock-in infrared thermography leverages recent advances in high performance infrared cameras and can effectively address the measurement challenges outlined above. A key aspect of the research is the development and validation of an analytical model for heat conduction in multilayer die stacks and the refinement of a measurement approach to rapidly acquire data and extract the thermal resistance of individual interconnect layers. The outcomes of the research will include improved metrology tools that will accelerate research and development in the packaging and thermal management of microelectronics.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/01/2024
|
08/01/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2428927
|
{'FirstName': 'David', 'LastName': 'Cahill', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David G Cahill', 'EmailAddress': '[email protected]', 'NSF_ID': '000285127', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'ZipCode': '618013620', 'PhoneNumber': '2173332187', 'StreetAddress': '506 S WRIGHT ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'IL13', 'ORG_UEI_NUM': 'Y8CWNJRCNN91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ILLINOIS', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'StateCode': 'IL', 'ZipCode': '618013620', 'StreetAddress': '506 S WRIGHT ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'IL13'}
|
{'Code': '140600', 'Text': 'TTP-Thermal Transport Process'}
|
2024~148154
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428927.xml'}
|
Characterization and Prediction of Viral Capsid Geometries
|
NSF
|
02/01/2024
|
08/31/2024
| 300,000 | 22,114 |
{'Value': 'Continuing Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Zhilan Feng', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927523'}
|
Viruses are the most abundant biological entity on the planet and play a crucial role in the evolution of organisms and the biogeochemistry of Earth. Closely related viruses, however, can have very dissimilar genomes, complicating integration of knowledge acquired from the study of independent viruses, and limiting prediction of the characteristics and potential threats of emerging viruses. Viruses, however, conserve a few structural properties that could help circumvent this problem. Most viruses store their infective genetic material in a protein shell called a capsid. The capsid self-assembles from multiple copies of the same (or similar) proteins, and most capsids display icosahedral symmetry. This architecture optimizes the interaction of proteins and the volume available to store the viral genetic information. This research project hypothesizes that viruses have evolved a limited set of replication strategies to specialize and exploit the reduced number of geometrical templates capable of forming icosahedral capsids. This, in turn, may have constrained the number of three-dimensional configurations adopted by capsid proteins, providing a mechanistic rationale for the existence of viral structural lineages. This hypothesis will be tested by analyzing and comparing hundreds of viruses from multiple different viral families using novel mathematical methods. Confirming this hypothesis will offer a quantitative framework to study viral evolution and open the door to design of generic antiviral strategies targeting viruses in the same structural lineage.<br/><br/>Only ten protein folds have been identified among major capsid proteins of viruses that form icosahedral capsids. These folds define viral lineages that group viruses that can be genetically unrelated and infect hosts from different domains of life. This limited number of folds contrasts with the vast genetic diversity of viruses. The existence of these folds across the virosphere, however, remains unknown. Here, it is hypothesized that there is a direct relationship between the viral replication strategy of each viral lineage, the icosahedral lattice of the capsid, and the fold of capsid proteins. The hypothesis will be tested by developing a database that will include the viral replication, protein fold, and capsid lattice of five hundred viruses that have been reconstructed at high or medium molecular resolution. Voronoi tessellations and protein-protein interaction lattices will be obtained to identify computationally the icosahedral lattice associated to each virus. Additionally, molecular measurements of the reconstructed capsids will be obtained to establish allometric relationships for at least one viral lineage, facilitating the prediction of icosahedral capsid properties from genomic information. The new icosahedral framework will be also extended to obtain new sets of elongated capsids, which represent the second most abundant type of capsid. The methods will be disseminated online for use by viral structure researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/30/2024
|
05/30/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2428961
|
{'FirstName': 'Antoni', 'LastName': 'Luque', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Antoni Luque', 'EmailAddress': '[email protected]', 'NSF_ID': '000696155', 'StartDate': '05/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Miami', 'CityName': 'CORAL GABLES', 'ZipCode': '331462919', 'PhoneNumber': '3052843924', 'StreetAddress': '1320 SOUTH DIXIE HIGHWAY STE 650', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '27', 'CONGRESS_DISTRICT_ORG': 'FL27', 'ORG_UEI_NUM': 'RQMFJGDTQ5V3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MIAMI', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Miami', 'CityName': 'CORAL GABLES', 'StateCode': 'FL', 'ZipCode': '331462919', 'StreetAddress': '1320 SOUTH DIXIE HIGHWAY STE 650', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '27', 'CONGRESS_DISTRICT_PERF': 'FL27'}
|
{'Code': '733400', 'Text': 'MATHEMATICAL BIOLOGY'}
|
2022~22114
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428961.xml'}
|
2024 Colloidal Semiconductor Nanocrystals Gordon Research Conference and Gordon Research Seminar
|
NSF
|
05/01/2024
|
10/31/2024
| 10,000 | 10,000 |
{'Value': 'Standard Grant'}
|
{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}
|
{'SignBlockName': 'Robert Meulenberg', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927106'}
|
Non-Technical Summary<br/><br/>The 2024 Gordon Research Seminar (GRS) and Gordon Research Conference (GRC) on Colloidal Semiconductor Nanocrystals will take place in early July 2024. These conferences aim to foster an interdisciplinary exchange among chemists, physicists, engineers, and other scientists to advance understanding and innovation in nanotechnology. By discussing emerging research and forming collaborative networks, the conferences will enhance scientific and technological developments in areas critical to national interests such as renewable energy, healthcare, and electronics. The GRC and GRS play an important role in nurturing the next generation of scientists, providing young researchers and postdocs with opportunities to present their work, engage in peer discussions, and gain exposure to the wider community of scientists working in the nanocrystal field. The GRC and GRS also aim to increase participation from underrepresented groups in nanoscience by providing an inclusive environment with opportunities for mentorship and selecting a diverse group of participants. The cutting-edge scientific developments discussed at these conferences have potential applications in a variety of areas including renewable energy, electronics, and disease detection and treatment.<br/><br/>Technical Summary<br/><br/>The field of colloidal semiconductor nanocrystals is flourishing at the frontiers of discovery in nanoscience and nanotechnology. This Gordon Research Conference (GRC) and Gordon Research Seminar (GRS) will focus on recent advances in understanding and controlling the chemistry, physics, and engineering of colloidal semiconductor nanocrystals and related nanostructures. The conference will bring together the community of chemists, physicists, materials scientists, spectroscopists, theoreticians, and engineers to discuss major advances, pressing challenges, and new directions, build collaborations, and foster the next generation of scholars in this vibrant interdisciplinary field. The two-day GRS program includes a keynote lecture, two poster sessions, and two sessions of talks by graduate students and postdocs selected from GRS applicant abstracts. The five-day GRC program features 34 invited talks. Additionally, the GRC program will have four poster sessions, where approximately 150 posters will be presented by conference applicants on topics related to colloidal semiconductor nanocrystals and related assemblies, fostering an open and vigorous exchange of ideas. The conference participants were chosen to emphasize the focus on innovative and transformative research in the field from a diverse group of scientists. The conference is structured to foster interactions between junior researchers and senior researchers and provide a stage for junior researchers to present their work to the nanocrystal scientific community. Nanocrystals have potential applications in a variety of areas such as renewable energy, electronics, disease detection and treatment, and so on. The access to cutting-edge unpublished results presented at this conference will accelerate scientific progress toward these societal goals.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
04/23/2024
|
04/23/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2428968
|
{'FirstName': 'Gordana', 'LastName': 'Dukovic', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gordana Dukovic', 'EmailAddress': '[email protected]', 'NSF_ID': '000554527', 'StartDate': '04/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'ZipCode': '028183454', 'PhoneNumber': '4017834011', 'StreetAddress': '5586 POST RD UNIT 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Rhode Island', 'StateCode': 'RI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'RI02', 'ORG_UEI_NUM': 'XL5ANMKWN557', 'ORG_LGL_BUS_NAME': 'GORDON RESEARCH CONFERENCES', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'StateCode': 'RI', 'ZipCode': '028183454', 'StreetAddress': '5586 POST RD UNIT 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Rhode Island', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'RI02'}
|
{'Code': '176200', 'Text': 'SOLID STATE & MATERIALS CHEMIS'}
|
2024~10000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428968.xml'}
|
Conference: Betti Numbers in Commutative Algebra and Equivariant Homotopy Theory
|
NSF
|
08/01/2024
|
07/31/2025
| 15,000 | 15,000 |
{'Value': 'Standard Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Tim Hodges', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032925359'}
|
This award provides travel funding for US-based participants in the week-long workshop “Betti numbers in commutative algebra and equivariant homotopy theory” to be held September 23–27, 2024, at Bielefeld University, in Bielefeld, Germany. The workshop centers on a series of long-standing conjectures that appear in parallel in two major fields of mathematics. The goal of the workshop is to bring together researchers from these two fields to discuss recent advances on these conjectures. Another goal is to train more researchers to work on these important problems and help them build connections between the two fields. The overarching goal of this award would be to increase US participation in this highly active area of research, and to foster collaborations between US mathematicians and those from other countries. The funding is aimed especially at postdoctoral fellows and graduate students, as well as participants who do not have independent funding, to attend this workshop, and it will also be used to encourage participation by individuals from underrepresented groups in mathematics. A recent workshop held in Banff, Canada in 2022 initiated this goal, and funding for this event would cement the connections already made and build new ones for younger participants. The bridges we are building will not only connect researchers located in different countries but also between those working in different areas of mathematics.<br/><br/>Algebra and topology are thriving branches of mathematics that are well represented in most math departments. Commutative algebra, as the algebraic underpinnings of algebraic geometry, and algebraic topology, with its strong focus on homology and homotopy, have occasional significant overlap in both methods and aims. The goal is to create a strong working alliance between the groups working on these conjectures and related problems, and also to get younger researchers involved in these problems. In fact, total Betti numbers appear in related, decades-old rank conjectures in commutative algebra and equivariant topology. On the topological side, Halperin and Carlsson conjectured that the total Betti number of a compact space with a free torus action or p-torus action of rank r is bounded below by 2r, which has inspired much research on the topological side of spaces with a group action. On the algebraic side, Avramov conjectured a similar lower bound for the total Betti number of finite length modules over a local ring. Recent work of Walker and VandeBogert-Walker resolves this conjecture positively for rings of prime characteristic, whereas counterexamples to a stronger conjecture show the subtlety of the questions. The web site for the workshop is at https://www.math.uni-bielefeld.de/birep/meetings/betti2024/index.php and includes a full speaker list.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/17/2024
|
06/17/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2428995
|
{'FirstName': 'Claudia', 'LastName': 'Miller', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Claudia M Miller', 'EmailAddress': '[email protected]', 'NSF_ID': '000258026', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Syracuse University', 'CityName': 'SYRACUSE', 'ZipCode': '13244', 'PhoneNumber': '3154432807', 'StreetAddress': '900 S CROUSE AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '22', 'CONGRESS_DISTRICT_ORG': 'NY22', 'ORG_UEI_NUM': 'C4BXLBC11LC6', 'ORG_LGL_BUS_NAME': 'SYRACUSE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Syracuse University', 'CityName': 'SYRACUSE', 'StateCode': 'NY', 'ZipCode': '132440001', 'StreetAddress': '900 S CROUSE AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '22', 'CONGRESS_DISTRICT_PERF': 'NY22'}
|
[{'Code': '126400', 'Text': 'ALGEBRA,NUMBER THEORY,AND COM'}, {'Code': '126700', 'Text': 'TOPOLOGY'}]
|
2024~15000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428995.xml'}
|
EAGER: RI: Enabling Natural Language and Decision Making Capabilities of Robotic Guide Dogs for People with Visual Impairment
|
NSF
|
07/01/2024
|
06/30/2025
| 125,000 | 125,000 |
{'Value': 'Standard Grant'}
|
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
|
{'SignBlockName': 'Erion Plaku', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924426'}
|
Guide dogs are trained to serve people who have severely limited or no vision by helping them avoid obstacles and other dangers while walking. Research has shown that guide dogs improve the lives of visually impaired people by increasing independence, confidence, companionship, and mobility. However, in the US, only about two percent of the visually impaired people work with guide dogs. Example reasons include high training costs, low graduation rates and the everyday care needed by the dogs. Quadruped robots are increasingly drawing attention from the robotics community because they are more versatile than wheeled robots and can traverse many different terrains. The goal of this project is to provide a low-cost, user-friendly solution for guiding visually impaired people, significantly improving their quality of life. <br/><br/><br/>Little research on quadruped robotics has been done to look into the interaction and collaboration aspects of human-quadruped systems. The primary focus of this project is on the human-robot-environment, three-way interaction, and the goal is to enable the following novel capabilities for robotic guide dogs. The first capability is dialog and scene verbalization, which will enable the robotic guide dogs to interact with the visually impaired using natural language. The second capability is intelligent disobedience. For robotic guide dogs, intelligent disobedience requires at least the capabilities of visual scene analysis and commonsense reasoning. For learning and evaluation purposes, this project will produce a dataset that includes 360-degree images and safety labels in different directions. Further, the investigator and team will leverage the state-of-the-art computer vision techniques for making disobedience decisions. The first research aim on the language capabilities will improve the transparency of disobedience decisions in the second research aim. This project will generate the datasets and prototypes towards complete systems and comprehensive evaluations of robotic guide dogs. Guide dog trainers and people with visual impairments will be included and play a key role in this project.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/09/2024
|
07/09/2024
|
None
|
Grant
|
47.070
|
1
|
4900
|
4900
|
2428998
|
{'FirstName': 'Shiqi', 'LastName': 'Zhang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shiqi Zhang', 'EmailAddress': '[email protected]', 'NSF_ID': '000753721', 'StartDate': '07/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'ZipCode': '139024400', 'PhoneNumber': '6077776136', 'StreetAddress': '4400 VESTAL PKWY E', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'NQMVAAQUFU53', 'ORG_LGL_BUS_NAME': 'RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE', 'ORG_PRNT_UEI_NUM': 'GMZUKXFDJMA9'}
|
{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'StateCode': 'NY', 'ZipCode': '139024400', 'StreetAddress': '4400 VESTAL PKWY E', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}
|
{'Code': '749500', 'Text': 'Robust Intelligence'}
|
2024~125000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428998.xml'}
|
Geometric Variational Problems in Classical and Higher Rank Teichmuller theory
|
NSF
|
10/01/2023
|
05/31/2025
| 540,740 | 236,485 |
{'Value': 'Continuing Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Swatee Naik', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924876'}
|
This project has directions both in term of advancing our understanding of mathematics and in building the nation's scientific and technical workforce. The mathematical part aims to advance our understanding of the shapes that surfaces present when they are most efficiently navigating their environment. Of course, the notion of efficient depends on the context, so the project considers a number of settings, expecting to find both differences and similarities in the optimal shapes as the criteria for "best shape" are changed. In terms of education, the setting is that nation will need about a million more engineers in the coming decade than we expect the pipeline, as it is currently configured, to produce. At the same time, students from less well-resourced high schools, even if smart and hard-working and interested in a career in science, technology, engineering or mathematics, leave those STEM fields at an alarming rate, as they have trouble transitioning from high school to college. A program led by the PI has achieved notable success in cutting the attrition from STEM students of high potential but less-than-optimal preparation: the grant will help grow, sustain, develop and disseminate information about this comprehensive holistic approach to retention of students in STEM. <br/> <br/>The project will investigate, via harmonic maps, the asymptotic holonomy of surface group representations in the Hitchin component of several low rank Lie groups. The equivariant harmonic maps from surfaces to the associated symmetric spaces have holomorphic invariants, the geometric topology of which can predict the holonomy of the representation, up to a decaying error. At the same time, the error estimates are strong enough to suggest a unity of approaches: a rescaling of the range and the maps produces a harmonic map to a building, while an apparently different building may be constructed algebraically via an associated real closed field and a valuation. Other projects include finding a new basic minimal surface in three-space through moduli space techniques, a new type of uniformized metric through geometric analytic techniques, and a refinement of a classical circle-packing result on surfaces. The PI will continue his mentorship of undergraduates, graduate students, and postdoctoral scholars.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/24/2024
|
07/24/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429005
|
{'FirstName': 'Michael', 'LastName': 'Wolf', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael Wolf', 'EmailAddress': '[email protected]', 'NSF_ID': '000224934', 'StartDate': '07/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'ZipCode': '303186395', 'PhoneNumber': '4048944819', 'StreetAddress': '926 DALNEY ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'EMW9FC8J3HN4', 'ORG_LGL_BUS_NAME': 'GEORGIA TECH RESEARCH CORP', 'ORG_PRNT_UEI_NUM': 'EMW9FC8J3HN4'}
|
{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303186395', 'StreetAddress': '926 DALNEY ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}
|
{'Code': '126500', 'Text': 'GEOMETRIC ANALYSIS'}
|
['2020~53210', '2021~183275']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429005.xml'}
|
Conference: CSHL Course on Drosophila Neurobiology: Genes, Circuits and Behavior
|
NSF
|
08/01/2024
|
07/31/2027
| 380,000 | 182,400 |
{'Value': 'Continuing Grant'}
|
{'Code': '08090000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}
|
{'SignBlockName': 'Edda Thiels', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928167'}
|
Drosophila melanogaster is a powerful model organism in neuroscience due to its genetic tractability, conservation of key biological pathways with humans, rapid life cycle, and the availability of sophisticated genetic and behavioral tools. Research using Drosophila not only enhances our understanding of fundamental neurobiological processes but also provides critical insights into human brain health and disease, facilitating the development of new therapeutic strategies. The Drosophila Neurobiology: Genes, Circuits and Behavior course at Cold Spring Harbor Laboratory (CSHL) provides a critical entry point for scientists who wish to use Drosophila as a platform for research and teaching in neuroscience. The proposed course (2024-2026) will provide advanced training in genetic, molecular, cellular, behavioral, and computational approaches for studying the neural basis of fly behavior. The immersive experience consists of inquiry-based, hands-on laboratory sessions and intensive lecture series taught by leading experts in the field. Students are provided with an opportunity to learn cutting-edge and cross-disciplinary techniques that can be deployed throughout their careers. The Drosophila Neurobiology course makes a broad impact by teaching students how to use multi-disciplinary approaches to address fundamental questions in neuroscience. At the close of each course, each student becomes a conduit through which research laboratories can gain information on the newest integrative approaches in Drosophila neuroscience. Additionally, the course provides a platform for young scientists to hone pedagogical skills. The course actively encourages the participation of the full spectrum of diverse talent in STEM, with the long-term vision of making the Drosophila neuroscience community an engine for increasing diversity in neuroscience. <br/><br/>The “Drosophila Neurobiology: Genes, Circuits and Behavior” course at Cold Spring Harbor Laboratory (CSHL) is a three-week summer course designed to introduce students to a wide variety of topics and techniques, including cutting-edge approaches for studying nervous system development, activity and connectivity, as well as complex behaviors and disease models. Daily research seminars present comprehensive overviews of specific subfields of nervous system development and function or focus on state-of-the-art techniques and approaches in Drosophila neuroscience. Expert guest lecturers discuss their findings and experimental approaches and bring along their own assays and techniques for students to learn in the laboratory part of the course. This hands-on portion of the course is centered on inquiry-based projects, utilizing the different morphological and physiological measurements and behavioral paradigms learned during the course. Collectively, the course provides a comprehensive and practical introduction to modern experimental methods for studying the neural basis of behavior in Drosophila. Since many Drosophila neuroscience research techniques are easily adapted for use in STEM (science, technology, engineering and mathematics) education, both researchers and educators benefit from attending the course. Course faculty are committed to integrating research, teaching, and mentorship. In parallel, the course is broadly impacting educational circles by cultivating generations of Drosophilists who excel at both research and teaching. Critically, the course also provides instructors, lecturers and teaching apprentices with opportunities to explore new ways of teaching neuroscience with Drosophila, which can then be implemented beyond CSHL.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/30/2024
|
07/30/2024
|
None
|
Grant
|
47.074
|
1
|
4900
|
4900
|
2429008
|
{'FirstName': 'David', 'LastName': 'Stewart', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David J Stewart', 'EmailAddress': '[email protected]', 'NSF_ID': '000148864', 'StartDate': '07/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Cold Spring Harbor Laboratory', 'CityName': 'COLD SPG HBR', 'ZipCode': '117242202', 'PhoneNumber': '5163678307', 'StreetAddress': '1 BUNGTOWN RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'NY03', 'ORG_UEI_NUM': 'GV31TMFLPY88', 'ORG_LGL_BUS_NAME': 'COLD SPRING HARBOR LABORATORY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Cold Spring Harbor Laboratory', 'CityName': 'COLD SPG HBR', 'StateCode': 'NY', 'ZipCode': '117242202', 'StreetAddress': '1 BUNGTOWN RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'NY03'}
|
{'Code': '771400', 'Text': 'Modulation'}
|
2024~182400
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429008.xml'}
|
Collaborative Research: NSF-NFRF: The Indigenous Peoples Observatory Network (IPON): The Climate-Food-Health Nexus
|
NSF
|
06/01/2024
|
05/31/2027
| 424,251 | 424,251 |
{'Value': 'Standard Grant'}
|
{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}
|
{'SignBlockName': 'Allen Pope', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928030'}
|
Climate change, biodiversity loss, and land degradation are profound threats to Indigenous Peoples globally. These threats are rooted in discrimination, land dispossession, and colonization. The convergence and interaction of these stresses that affect health and well-being are primarily through the nexus with Indigenous food systems. Government policies often overlook and undermine Indigenous knowledge and practices, which underpin resilience across the nexus of food systems, health, and well-being. The Indigenous Peoples’ Observatory Network (IPON) transforms and rethinks our understanding of this nexus from the bottom up. It builds on multiple ways of knowing, including Indigenous knowledge and science, to strengthen community resilience to multiple stresses and support actions that benefit Indigenous Peoples. The project promotes the progress of science through transdisciplinary approaches that investigate the links among food, climate, and health. <br/><br/>This project will establish Indigenous observatories that include community leaders, Elders, and youth, along with decision makers and researchers from Indigenous communities worldwide, covering the United Nation's seven social cultural regions. The observatories will document, monitor, and examine how climate stressors interact with food systems, health, and well-being across partner regions and communities as they play out in real-time and across seasons. This will be done by recording the lived experiences, stories, responses, and observations of the affected people. The teams will work together to create knowledge and capacity that can be used to develop policies and actions that build on community strengths and address potential vulnerabilities. The observatories strengthen the capacity of Indigenous communities to document their knowledge about the links between climate, food, and health, and provide a space for dialogue with decision makers at regional, national, and global levels to determine necessary actions to build resilience. IPON's global scope provides a foundation for developing scalable insights that inform decision making and advocacy for our partners in United Nations and Indigenous organizations.<br/><br/>This is a project jointly funded by the U.S. National Science Foundation and the National Endowment for the Humanities, as well as funding agencies from Canada, Germany, and the United Kingdom via the 2023 International Joint Initiative for Research on Climate Change Adaptation and Mitigation Competition. This Competition allowed a single joint international proposal to be submitted and peer-reviewed by Canada. Upon successful joint determination of an award recommendation, each agency funds the proportion of the budget that supports scientists at institutions in their respective countries.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/31/2024
|
05/31/2024
|
None
|
Grant
|
47.079
|
1
|
4900
|
4900
|
2429009
|
[{'FirstName': 'Eranga', 'LastName': 'Galappaththi', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eranga K Galappaththi', 'EmailAddress': '[email protected]', 'NSF_ID': '000871609', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Carol', 'LastName': 'Zavaleta-Cortijo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Carol Zavaleta-Cortijo', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A056J', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'ZipCode': '240603359', 'PhoneNumber': '5402315281', 'StreetAddress': '300 TURNER ST NW', 'StreetAddress2': 'STE 4200', 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'VA09', 'ORG_UEI_NUM': 'QDE5UHE5XD16', 'ORG_LGL_BUS_NAME': 'VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'M515A1DKXAN8'}
|
{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'StateCode': 'VA', 'ZipCode': '240603359', 'StreetAddress': '300 TURNER ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'VA09'}
|
{'Code': '054Y00', 'Text': 'GVF - Global Venture Fund'}
|
2024~424251
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429009.xml'}
|
Collaborative Research: NSF-NFRF: The Indigenous Peoples Observatory Network (IPON): The Climate-Food-Health Nexus
|
NSF
|
06/01/2024
|
05/31/2027
| 225,625 | 225,625 |
{'Value': 'Standard Grant'}
|
{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}
|
{'SignBlockName': 'Allen Pope', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928030'}
|
Climate change, biodiversity loss, and land degradation are profound threats to Indigenous Peoples globally. These threats are rooted in discrimination, land dispossession, and colonization. The convergence and interaction of these stresses that affect health and well-being are primarily through the nexus with Indigenous food systems. Government policies often overlook and undermine Indigenous knowledge and practices, which underpin resilience across the nexus of food systems, health, and well-being. The Indigenous Peoples’ Observatory Network (IPON) transforms and rethinks our understanding of this nexus from the bottom up. It builds on multiple ways of knowing, including Indigenous knowledge and science, to strengthen community resilience to multiple stresses and support actions that benefit Indigenous Peoples. The project promotes the progress of science through transdisciplinary approaches that investigate the links among food, climate, and health. <br/><br/>This project will establish Indigenous observatories that include community leaders, Elders, and youth, along with decision makers and researchers from Indigenous communities worldwide, covering the United Nation's seven social cultural regions. The observatories will document, monitor, and examine how climate stressors interact with food systems, health, and well-being across partner regions and communities as they play out in real-time and across seasons. This will be done by recording the lived experiences, stories, responses, and observations of the affected people. The teams will work together to create knowledge and capacity that can be used to develop policies and actions that build on community strengths and address potential vulnerabilities. The observatories strengthen the capacity of Indigenous communities to document their knowledge about the links between climate, food, and health, and provide a space for dialogue with decision makers at regional, national, and global levels to determine necessary actions to build resilience. IPON's global scope provides a foundation for developing scalable insights that inform decision making and advocacy for our partners in United Nations and Indigenous organizations.<br/><br/>This is a project jointly funded by the U.S. National Science Foundation and the National Endowment for the Humanities, as well as funding agencies from Canada, Germany, and the United Kingdom via the 2023 International Joint Initiative for Research on Climate Change Adaptation and Mitigation Competition. This Competition allowed a single joint international proposal to be submitted and peer-reviewed by Canada. Upon successful joint determination of an award recommendation, each agency funds the proportion of the budget that supports scientists at institutions in their respective countries.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/31/2024
|
05/31/2024
|
None
|
Grant
|
47.079
|
1
|
4900
|
4900
|
2429010
|
{'FirstName': 'Guangqing', 'LastName': 'Chi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Guangqing Chi', 'EmailAddress': '[email protected]', 'NSF_ID': '000537874', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'ZipCode': '168021503', 'PhoneNumber': '8148651372', 'StreetAddress': '201 OLD MAIN', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'PA15', 'ORG_UEI_NUM': 'NPM2J7MSCF61', 'ORG_LGL_BUS_NAME': 'THE PENNSYLVANIA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'StateCode': 'PA', 'ZipCode': '168021503', 'StreetAddress': '201 OLD MAIN', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'PA15'}
|
{'Code': '729800', 'Text': 'International Research Collab'}
|
2024~225625
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429010.xml'}
|
Collaborative Research: Paleozoic echinoderms as model systems for the study of evolutionary modes
|
NSF
|
01/15/2024
|
07/31/2026
| 296,211 | 296,211 |
{'Value': 'Standard Grant'}
|
{'Code': '06030000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'EAR', 'LongName': 'Division Of Earth Sciences'}}
|
{'SignBlockName': 'Yurena Yanes', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922649'}
|
Collaborative Research: Paleozoic echinoderms as model systems for the study of evolutionary modes <br/><br/>Unraveling the drivers of evolution in the fossil record is critical for understanding how organisms occupy new morphologic, ecologic, and geographic spaces. This information, gleaned from the geologic past across climate perturbations, is vital for understanding and predicting how evolution will operate across the biodiversity and climate crises today. The research team will focus on groups of ancient echinoderms, marine invertebrates (e.g., sea stars) that were globally widespread through Earth’s history. This group is vastly understudied and, as such, analyses conducted on the group will provide critical insight into animal response to Earth systems perturbations. New organismal forms appear through shifts in developmental timing, called heterochrony. What is unclear is how shifts in climate, organism biogeography, and ecology affect heterochronic shifts. This research uses a holistic approach via multiple analyses, addressing changes in ecology, biogeography, and heterochrony through extreme climate events that occurred hundreds of millions of years ago, to explore aspects of organisms’ evolutionary history and long-term consequences.<br/><br/>Database, museum, and literature data will be used jointly within phylogenetic frameworks to develop understanding of the evolutionary dynamics (i.e., changes in rates of evolution, heterochrony, biogeography, ecology) of extinct echinoderms. The chief merit of this research is the integration of multiple variables within a phylogenetic context to quantitatively understand broader patterns of evolution through abiotic change on Earth. This project will train the next generation of museum curators, educators, and researchers, and provide open-access information about echinoderms. Training will be conducted through undergraduate summer workshops on museum research techniques. Open access information about the echinoderm clades studied in this project will be published on the Digital Atlas of Ancient Life’s paleontology open access textbook. Echinoderm resources, created through this project and from previous works, will be collated on a WikiProject into one central hub for current and future echinoderm paleobiology researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/03/2024
|
05/31/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2429013
|
{'FirstName': 'Sarah', 'LastName': 'Sheffield', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sarah L Sheffield', 'EmailAddress': '[email protected]', 'NSF_ID': '000863566', 'StartDate': '05/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'ZipCode': '139024400', 'PhoneNumber': '6077776136', 'StreetAddress': '4400 VESTAL PKWY E', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'NQMVAAQUFU53', 'ORG_LGL_BUS_NAME': 'RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE', 'ORG_PRNT_UEI_NUM': 'GMZUKXFDJMA9'}
|
{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'StateCode': 'NY', 'ZipCode': '139024400', 'StreetAddress': '4400 VESTAL PKWY E', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}
|
{'Code': '745900', 'Text': 'Sedimentary Geo & Paleobiology'}
|
2023~296211
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429013.xml'}
|
Conference: International symposium on crystalline organic metals, superconductors, and magnets
|
NSF
|
06/15/2024
|
11/30/2024
| 12,600 | 12,600 |
{'Value': 'Standard Grant'}
|
{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}
|
{'SignBlockName': 'Elizabeth Mann', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922655'}
|
Non-technical Abstract: <br/><br/>This award partially supports the International Symposium on Crystalline Organic Metals, superconductors, and magnets (ISCOM), which will be held from September 22 - 27, 2024 in Anchorage, Alaska (USA). This is the 15th workshop in the ISCOM series which was started in 1995. Typically, these meetings alternate between Europe, Asia, and North America but has not been held in the United States since 2005. The symposium will balance theory and experiment with coverage of many contemporary issues. This symposium is designed to inspire new collaborations and provide opportunities for the education and growth of a diverse group of young people including via a student tutorial session before the main conference.<br/><br/>Technical Abstract:<br/><br/>This conference aims at advancing the fundamental understanding of molecular and molecule-based materials, which includes cutting edge topics in condensed matter physics such as non-equilibrium phenomena, particularly in high magnetic fields; molecular ferroelectrics multiferroics and chiral system; and competing interactions, electron correlations, and superconductivity in low-dimensional systems. A diverse set of US and international researchers present in the student tutorial and the technical sessions, with a priority on highlighting the work of young researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/04/2024
|
06/04/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429014
|
{'FirstName': 'Janice', 'LastName': 'Musfeldt', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Janice L Musfeldt', 'EmailAddress': '[email protected]', 'NSF_ID': '000388630', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Tennessee Knoxville', 'CityName': 'KNOXVILLE', 'ZipCode': '379960001', 'PhoneNumber': '8659743466', 'StreetAddress': '201 ANDY HOLT TOWER', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'TN02', 'ORG_UEI_NUM': 'FN2YCS2YAUW3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TENNESSEE', 'ORG_PRNT_UEI_NUM': 'LXG4F9K8YZK5'}
|
{'Name': 'University of Tennessee Knoxville', 'CityName': 'KNOXVILLE', 'StateCode': 'TN', 'ZipCode': '379960001', 'StreetAddress': '201 ANDY HOLT TOWER', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Tennessee', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'TN02'}
|
{'Code': '171000', 'Text': 'CONDENSED MATTER PHYSICS'}
|
2024~12600
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429014.xml'}
|
Collaborative Research: Ideas Lab: BLUES: Boundary Layer Under-ice Environmental Sensing
|
NSF
|
02/01/2024
|
09/30/2026
| 223,002 | 148,002 |
{'Value': 'Continuing Grant'}
|
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
|
{'SignBlockName': 'Jenshan Lin', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927360'}
|
Global climate change is driving all forms of ice to melt from the Earth’s surface and contribute to global sea-level rise. While evidence of ice melt is worldwide, such as decreasing sea-ice extent, loss of ice shelves in polar regions and a reduction in annual lake-ice coverage, ice melt rates are poorly quantified, resulting from limited field data and relatively coarse measurements of ice thickness. Ice thickness measurements, made by propagating acoustic signals through the ice, decrease in resolution as a function of the attenuation properties and overall ice thickness. Novel acoustic metamaterials will be used in this Ideas Lab: Engineering Technologies to Advance Underwater Sciences (ETAUS) project to develop a transformative technology tool that can provide long-range, high-resolution measurements of ice thickness and provide a new mechanism to image the internal structure of the ice. These high-resolution observations will be used to refine global estimates of ice melt by looking at changes through time. Initial testing and development will be conducted in a laboratory setting before validation on natural lake ice that is variable in its acoustic signal attenuation properties. In every phase, the development and experimental demonstration will be guided by numerical modeling. This developed instrument will be transformative in terms of scientific understanding of all forms of ice within the cryosphere from the Arctic to the Antarctic. While polar regions are at the forefront of climate change, they are also some of the least accessible areas of the planet and make it difficult for the public to engage. To this end, new educational materials will be developed with the help of the education and outreach team at the Tahoe Environmental Research Center, which will be used to help broaden public participation in lake science and engineering.<br/><br/>To effectively monitor and predict climate-related changes, a key scientific need in all disciplines of the under-ice scientific community is to accurately measure ice accretion and melt rates at the ice/water interface, then use that information to generate better models of under-ice water circulation and mixing. However, existing technologies are limited by their imaging capabilities, measurement resolutions, and bulky sizes, which hinder their applications for scientific discovery. To address these limitations, this project will develop a new metamaterial-enhanced acoustic phased array (MEAPA) system and to explore the application of this system for high-resolution estimations of ice melt. Graded index acoustic metamaterials will be investigated to provide improved focusing, beam steering, and collimation properties to achieve high-resolution imaging (subwavelength resolution) in thinner ice and to further enhance the detection range of the MEAPA system in thicker ice. The developed MEAPA system will be characterized and validated in laboratory and field settings. Then, it will be used to better parameterize bottom roughness, and the data will be coupled to boundary layer dynamics observations of lake ice in three-dimensional hydrodynamic models. Coupling the engineering development of this instrument with the scientific need of the polar ice community will inform subgrid processes of General Circulation Models (GCM) for polar regions. Ultimately, this system will enable us to better predict ice growth and melt with accurate models and to better quantify mass gain and loss from lake ice to ice shelves in Antarctica.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
04/29/2024
|
04/29/2024
|
None
|
Grant
|
47.041, 47.078
|
1
|
4900
|
4900
|
2429026
|
{'FirstName': 'Alexander', 'LastName': 'Michaud', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alexander B Michaud', 'EmailAddress': '[email protected]', 'NSF_ID': '000708413', 'StartDate': '04/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'ZipCode': '432101016', 'PhoneNumber': '6146888735', 'StreetAddress': '1960 KENNY RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OH03', 'ORG_UEI_NUM': 'DLWBSLWAJWR1', 'ORG_LGL_BUS_NAME': 'OHIO STATE UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': 'MN4MDDMN8529'}
|
{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'StateCode': 'OH', 'ZipCode': '432101016', 'StreetAddress': '1960 KENNY RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OH03'}
|
[{'Code': '164700', 'Text': 'ANT Instrum & Facilities'}, {'Code': '220Y00', 'Text': 'ETAUS-EngTechUnderwaterSci'}]
|
2023~148002
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429026.xml'}
|
Conference: Vortex, Bessel, Airy and Other Exotic Wavefronts for Super-High-Capacity Wideband Millimeter-Wave and Terahertz Wireless Communications and Sensing
|
NSF
|
07/01/2024
|
06/30/2025
| 50,000 | 50,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
|
{'SignBlockName': 'Jenshan Lin', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927360'}
|
The on-going research of the next-generation wireless systems and networks are exploring the massive bandwidth of the millimeter (mm)-wave (30 – 300 GHz) to terahertz (THz) frequency bands. Establishing robust communication links at such high frequencies is challenging due to limited power of transmitting signal sources, high path loss of electromagnetic (EM) wave propagation, and susceptibility to signal blockage. These challenges can potentially be mitigated through large aperture antennas, transmissive metasurfaces, and intelligent reflecting surfaces. These large EM apertures extend the range of their near-field regions, and thus stimulated interest in studying near-field wireless communications, especially in the radiated near-field region. While the waveform design focuses on "what" information the signal contains, the wavefront engineering manipulates "how" the signal propagates. This workshop brings together experts from various research areas, including electromagnetics, antennas, communications, integrated circuits, and Artificial Intelligence (AI) / Machine Learning (ML), to conduct brainstorming, idea vetting, discussion, and planning for joint studies on how wavefront engineering can be leveraged to truly bring an unprecedented breakthrough in future wireless systems and networks.<br/><br/>The objective of this two-day workshop is to conduct a deep dive into the needs and requirements of developing super-high-capacity wideband wireless communications and sensing applications using mm-wave and THz bands in radiated near-field region for future wireless systems and networks. Different from conventional plane-wave signals, signal generation and propagation with exotic wavefronts such as vortex beams, Bessel beams, and Airy beams will be explored. The workshop will feature several invited presentations covering a wide range of aspects needed for this emerging research field, including electromagnetics, antennas, devices, integrated circuits, communication systems, and networks. The workshop is expected to stimulate research collaborations among participants from academic institutions and wireless industry across multiple expertise areas. The workshop will involve undergraduate and graduate students, especially those from underrepresented minority groups in STEM. The presentations will be disseminated through a public website. The outcome of this workshop is expected to contribute to advancing knowledge in this emerging research field that can benefit the future generations of wireless systems and networks.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/18/2024
|
06/18/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2429031
|
[{'FirstName': 'Habarakada', 'LastName': 'Madanayake', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Habarakada L Madanayake', 'EmailAddress': '[email protected]', 'NSF_ID': '000577849', 'StartDate': '06/18/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Arjun', 'LastName': 'Singh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Arjun Singh', 'EmailAddress': '[email protected]', 'NSF_ID': '000882703', 'StartDate': '06/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'SUNY Polytechnic Institute', 'CityName': 'ALBANY', 'ZipCode': '122033613', 'PhoneNumber': '5184378689', 'StreetAddress': '257 FULLER RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_ORG': 'NY20', 'ORG_UEI_NUM': 'CDAQNZCL6287', 'ORG_LGL_BUS_NAME': 'THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'SUNY Polytechnic Institute', 'CityName': 'Utica', 'StateCode': 'NY', 'ZipCode': '135021311', 'StreetAddress': '100 Seymour Road', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '22', 'CONGRESS_DISTRICT_PERF': 'NY22'}
|
{'Code': '756400', 'Text': 'CCSS-Comms Circuits & Sens Sys'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429031.xml'}
|
I-Corps: Translation Potential of an Energy Resilience Algorithm for Power Management
|
NSF
|
05/15/2024
|
04/30/2025
| 50,000 | 50,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Ruth Shuman', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922160'}
|
The broader impact of this I-Corps project is the development of an algorithm to enhance the survivability of power systems against disruptions such as natural disasters. Currently, natural disasters are escalating and enhancing the resilience of power grids may help to minimize social and economic disruptions when the grid fails. This technology is designed to identify power lines and zones that, if compromised, would have the most significant impact. This knowledge may allow power companies to optimize their investments in grid resilience, while municipalities are better able to prepare for and respond to power outages. In addition, the technology may be adapted from individual homes to utility networks, which may minimize the impacts of outages and contribute to sustainable energy practices. The goal is to improve the resilience of power grids, ensuring a more stable and consistent energy supply. <br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The technology is based on the development of an advanced control algorithm that employs model-free learning methods to manage and optimize power systems during both the planning and operational phases. The research underpinning this project has led to the creation of a system that can dynamically manage energy resources, particularly renewables and storage solutions, to effectively respond to changing conditions to maintain grid stability. The technology integrates smart planning and operation algorithms into power systems and disaster relief microgrids. The technology has been prototyped and tested within a research lab setting, demonstrating its potential effectiveness and versatility in enhancing power system resilience. These capabilities may potentially advance smart grid technology and transform the way energy resilience is approached in the face of increasing natural disasters.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/13/2024
|
05/13/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2429040
|
{'FirstName': 'Farzad', 'LastName': 'Ferdowsi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Farzad Ferdowsi', 'EmailAddress': '[email protected]', 'NSF_ID': '000789820', 'StartDate': '05/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Louisiana at Lafayette', 'CityName': 'LAFAYETTE', 'ZipCode': '705032014', 'PhoneNumber': '3374825811', 'StreetAddress': '104 E UNIVERSITY AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Louisiana', 'StateCode': 'LA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'LA03', 'ORG_UEI_NUM': 'C169K7T4QZ96', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF LOUISIANA AT LAFAYETTE', 'ORG_PRNT_UEI_NUM': 'C169K7T4QZ96'}
|
{'Name': 'University of Louisiana at Lafayette', 'CityName': 'LAFAYETTE', 'StateCode': 'LA', 'ZipCode': '705032014', 'StreetAddress': '104 E UNIVERSITY AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Louisiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'LA03'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429040.xml'}
|
NSF Trainee Travel Grant for the 2024 International Conference on DNA Computing and Molecular Programming (DNA30)
|
NSF
|
09/01/2024
|
08/31/2025
| 20,000 | 20,000 |
{'Value': 'Standard Grant'}
|
{'Code': '05010000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}
|
{'SignBlockName': 'Stephanie Gage', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924748'}
|
The 30th International Conference on DNA Computing and Molecular Programming (DNA30) is the premier forum where scientists come together to advance molecular-scale engineering and biology. This interdisciplinary conference bridges computation, biology, and nanotechnology and attracts top researchers in the fields of computer science, mathematics, chemistry, molecular biology, and engineering. This support will give a new generation of molecular programming researchers the opportunity to present their work and interact with students and senior researchers from other institutions. The scope of topics include: control of molecular folding and self-assembly of nano- and micro-structures; demonstration of biomolecular switches and circuits that process chemical information in vitro and in cells; molecular motors and molecular robots; studies of fault-tolerance and error correction in molecular self-assembly and molecular computation; synthetic biology and molecular evolution; DNA data storage; and software tools for analysis, simulation, and design of molecular structures and circuits. These topics have applications spanning engineering, physics, chemistry, biology, medicine, and education.<br/><br/>DNA30 will be held at Johns Hopkins University in Baltimore, MD on September 16-20, 2024. Conference organizers will support travel of up to 25 students and post-doctoral researchers who are either US citizens or enrolled at US institutions. Trainees who plan to present their work at the conference will be prioritized for awards and especially those from institutions that would otherwise be unable to afford conference attendance and members of groups underrepresented in STEM research. The awards will support registration, travel, and accommodations for students. The availability of this support will foster diverse conference attendance, fostering the unique perspectives required to advance human knowledge and develop new technologies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/12/2024
|
06/12/2024
|
None
|
Grant
|
47.070
|
1
|
4900
|
4900
|
2429041
|
{'FirstName': 'Rebecca', 'LastName': 'Schulman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rebecca Schulman', 'EmailAddress': '[email protected]', 'NSF_ID': '000599828', 'StartDate': '06/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'ZipCode': '212182608', 'PhoneNumber': '4439971898', 'StreetAddress': '3400 N CHARLES ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MD07', 'ORG_UEI_NUM': 'FTMTDMBR29C7', 'ORG_LGL_BUS_NAME': 'THE JOHNS HOPKINS UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'StateCode': 'MD', 'ZipCode': '212182608', 'StreetAddress': '3400 N CHARLES ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MD07'}
|
{'Code': '089Y00', 'Text': 'FET-Fndtns of Emerging Tech'}
|
2024~20000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429041.xml'}
|
IntBIO COLLABORATIVE RESEARCH: Integrating trait diversity across hierarchical scales to predict biological resilience in an era of extreme environmental change
|
NSF
|
02/15/2024
|
09/30/2026
| 878,147 | 562,239 |
{'Value': 'Standard Grant'}
|
{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}
|
{'SignBlockName': 'Jason West', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927410'}
|
Extreme climate events, such as drought or wildfire, may occur in high frequency and/or in tandem. These extremes are likely to occur more frequently over the coming decades and will likely have more severe effects on natural and human landscapes than when extreme events occur alone. Many parts of southern Africa suffered the effects of compound extremes in 2015 and 2016 when drought and heavy wildlife use caused substantial declines in vegetative cover and mass wildlife mortality in national parks. Many areas are yet to fully recover. Ecosystem recovery after compound extremes is critical for maintaining important services that landscapes provide, such as wildlife habitat, food production, and carbon storage. The mechanisms behind recovery after extreme events are not well understood, although there is mounting evidence that the diversity of organisms (i.e., biodiversity) within ecosystems may be key. This award will experimentally impose compound extremes in a South African savanna and incorporate measured outcomes into computer models to understand how diversity of plant life controls ecosystem recovery after compound extremes. The information and tools created by this project will be important for land managers and policy makers to maximize the recovery potential of public and private lands through the promotion of biodiversity. Additionally, this project will provide important training and education opportunities for a diverse assemblage of people (local South African stakeholders, high school, undergraduate and graduate students, and postdoctoral scholars), and will prioritize advancement of diversity, equity, and inclusion in the sciences.<br/><br/>Currently, the importance of biodiversity for ecosystem recovery (i.e., resilience) is recognized at the community level, but the mechanisms underlying species diversity that can extend these concepts to other spatial and hierarchical scales are not well understood. Organismal traits provide a useful framework for understanding these mechanisms because the coordination of physiological, morphological, and anatomical characteristics determine the response of individuals to their environment; this facilitates scaling from organisms to populations, communities, and ecosystems using first principles. This study will first extend biodiversity-resilience ideas beyond simple species diversity by using methods to examine diversity of plant traits (e.g., functional dispersion). Second, it will scale biodiversity-resilience relationships from individual organisms, through populations and communities, to entire ecosystems. To these ends, this project will experimentally impose extreme drought, extreme grazing, and extreme fire, singly and in combination, in a South African savanna and determine (1) diversity of functional traits before, during, and after treatments to link with (2) responses of individuals, populations, communities, and the ecosystem during and after treatments. Empirical data will then be used to parameterize and benchmark a mechanistic demographic vegetation model to expand the inference of these effects to longer time frames and a wider range of biodiversity scenarios. The three overarching questions this project will address are: (1) How does diversity at different hierarchical scales control resilience of biological function after perturbations? (2) How do perturbations affect biodiversity at multiple hierarchical scales? (3) How does diversity and resilience change with frequency and compound perturbations?<br/><br/>This project is jointly funded by Emerging Frontiers in the Directorate for Biological Sciences and the Established Program to Stimulate Competitive Research (EPSCoR).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
04/22/2024
|
04/22/2024
|
None
|
Grant
|
47.074, 47.083
|
1
|
4900
|
4900
|
2429043
|
{'FirstName': 'Kevin', 'LastName': 'Wilcox', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin R Wilcox', 'EmailAddress': '[email protected]', 'NSF_ID': '000744574', 'StartDate': '04/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of North Carolina Greensboro', 'CityName': 'GREENSBORO', 'ZipCode': '274125068', 'PhoneNumber': '3363345878', 'StreetAddress': '1000 SPRING GARDEN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'NC06', 'ORG_UEI_NUM': 'C13DF16LC3H4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF NORTH CAROLINA AT GREENSBORO', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of North Carolina Greensboro', 'CityName': 'GREENSBORO', 'StateCode': 'NC', 'ZipCode': '274125068', 'StreetAddress': '1000 SPRING GARDEN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'NC06'}
|
[{'Code': '727500', 'Text': 'Cross-BIO Activities'}, {'Code': '915000', 'Text': 'EPSCoR Co-Funding'}]
|
2021~562238
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429043.xml'}
|
HBCU-UP: EAGER: Cortical Organoid-Vasculature Intelligence
|
NSF
|
10/01/2024
|
09/30/2026
| 299,844 | 299,844 |
{'Value': 'Standard Grant'}
|
{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}
|
{'SignBlockName': 'Joyce Belcher', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928221'}
|
The National Science Foundation Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) supports projects that enhance undergraduate science, technology, engineering, and mathematics (STEM) education and research at HBCUs, as means to broaden participation in the nation's STEM workforce. Brain vessels play a crucial role in regulating the passage of substances between the bloodstream and the brain, preventing harmful substances from entering the brain. This vasculature directly communicates with the neuronal system in the brain. Understanding the crosstalk between the neuronal system and vasculature is vital for maintaining the health and function of the nervous system.<br/> <br/>The goal of this project is to establish a platform in organoid-vasculature intelligence, providing new insights into the direct communication between organoids and vasculature integrated with a machine learning model. This will be achieved through the systematic integration of a microfluidic organoid-vascular tissue construct, microelectrode array recording/stimulation, and machine learning models. The project has two specific objectives 1) Develop a microfluidic cortical organoid-vasculature platform using iPSC-derived multiple cell types such as endothelial cells and vascular smooth muscle cells, systematically integrated with a microelectrode array and 2) Apply an artificial neural network model of organoid-vasculature intelligence. The outcomes of this research will yield: 1) an understanding of the role of each cell type in neurovascular function including vascular smooth muscle cell, 2) new insights into neuron-vasculature crosstalk with organoid-vascular smooth muscle cell-endothelial cell interactions, 3) blood flow regulation mechanism, 4) a machine learning model to control vascular function, and 5) innovative concepts showcasing the interface between organoid intelligence and machine learning for the first time. The broader impacts include developing an interdisciplinary training program to enhance education, diversity, and outreach at the interface between bioengineering, artificial intelligence, and biological sciences.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/12/2024
|
08/12/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2429044
|
{'FirstName': 'Yeoheung', 'LastName': 'Yun', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yeoheung Yun', 'EmailAddress': '[email protected]', 'NSF_ID': '000585597', 'StartDate': '08/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'North Carolina Agricultural & Technical State University', 'CityName': 'GREENSBORO', 'ZipCode': '274110002', 'PhoneNumber': '3363347995', 'StreetAddress': '1601 E MARKET ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'NC06', 'ORG_UEI_NUM': 'SKH5GMBR9GL3', 'ORG_LGL_BUS_NAME': 'NORTH CAROLINA AGRICULTURAL AND TECHNICAL STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'North Carolina Agricultural and Technical State University', 'CityName': 'GREENSBORO', 'StateCode': 'NC', 'ZipCode': '274110002', 'StreetAddress': '1601 E MARKET ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'NC06'}
|
{'Code': '159400', 'Text': 'Hist Black Colleges and Univ'}
|
2024~299844
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429044.xml'}
|
Conference: Hyperbolic manifolds, their submanifolds and fundamental groups
|
NSF
|
09/01/2024
|
08/31/2025
| 30,000 | 30,000 |
{'Value': 'Standard Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Qun Li', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927465'}
|
This award will fund US-based participants in the conference "Hyperbolic manifolds, their submanifolds fundamental groups", which will consist of a conference January 6-10, 2025 and a follow-up workshop aimed at early-career mathematicians January 13-17, 2025, both held at Instituto de Matematica Pura e Aplicada (IMPA) in Rio de Janeiro, Brazil. The conference will bring together around 100 participants from around the world to learn about the latest exciting developments in the fast-moving and very active area encompassed by the title of the conference. This will include 23 lectures by world-renowned experts of various career stages all at the forefront of the field, along with an extended lightning talk session to provide young participants an opportunity to communicate their work. The follow-up workshop is aimed at early-career participants and will be dedicated to four detailed mini-courses given by rising experts. The primary use of this grant will be to fund applicants that are early-career (graduate student or junior faculty), with a particular emphasis on those from underrepresented groups in the mathematical sciences and those from institutions with extremely limited access to resources and research opportunities.<br/><br/>The primary purpose of the conference is the disseminate the most current results in and around the study of hyperbolic manifolds, which are fundamental objects in differential geometry and topology. Hyperbolic manifolds, i.e., manifolds of constant curvature -1, are among the most important and basic examples in differential geometry. Yet, they remain profoundly mysterious in comparison with their flat and positively-curved analogues. Forty years ago, Thurston laid out a grand vision for geometrization of 3-manifolds which, if validated, identified hyperbolic 3-manifolds as the essential case to unlock. Twenty years ago, Perelman substantiated this by proving Thurston's geometrization conjecture, and ten years ago Ian Agol made another profound breakthrough by proving Thurston's conjecture that all compact hyperbolic 3-manifolds virtually fiber over the circle. Despite this immense progress, much remains to be done before we have a satisfactory understanding of hyperbolic 3-manifolds, and the field continues to flourish and move forward at a rapid pace and find new deep connections with other areas of mathematics like profinite groups, geometric analysis, and number theory. In comparison, our understanding of higher-dimensional hyperbolic manifolds remains far more unsatisfactory. However - often guided by the significant progress in dimension three - the last decade has seen an explosion of fundamental new results leading to significant optimism that a much deeper understanding in higher dimensions is within reach. These new advances are coming from researchers with a wide range of perspectives and toolkits, but also from mathematicians from Europe and throughout the Americas, for example in the chosen location of Brazil. A primary aim of this conference and workshop is to provide a significant opportunity for both experts and young researchers to learn about the newest developments in an environment fostering international collaborations that will drive the next advances. The follow-up workshop will boost the intellectual development of early-career participants through opportunities to make new professional connections, collaborate with their peers, and learn the details of four distinct topics of contemporary interest from a rising expert.<br/>https://impa.br/en_US/eventos-do-impa/2025-2/hyperbolic-manifolds-their-submanifolds-and-fundamental-groups/<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/26/2024
|
08/26/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429055
|
[{'FirstName': 'Alan', 'LastName': 'Reid', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alan W Reid', 'EmailAddress': '[email protected]', 'NSF_ID': '000280989', 'StartDate': '08/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Matthew', 'LastName': 'Stover', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Matthew T Stover', 'EmailAddress': '[email protected]', 'NSF_ID': '000574760', 'StartDate': '08/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'Temple University', 'CityName': 'PHILADELPHIA', 'ZipCode': '191226104', 'PhoneNumber': '2157077547', 'StreetAddress': '1805 N BROAD ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'PA02', 'ORG_UEI_NUM': 'QD4MGHFDJKU1', 'ORG_LGL_BUS_NAME': 'TEMPLE UNIVERSITY-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION', 'ORG_PRNT_UEI_NUM': 'QD4MGHFDJKU1'}
|
{'Name': 'Temple University', 'CityName': 'PHILADELPHIA', 'StateCode': 'PA', 'ZipCode': '191226104', 'StreetAddress': '1805 N BROAD ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'PA02'}
|
{'Code': '126700', 'Text': 'TOPOLOGY'}
|
2024~30000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429055.xml'}
|
Travel: NSF Student Travel Grant for 2024 ACM/IEEE International Symposium on Machine Learning for Computer-aided Design (MLCAD 2024)
|
NSF
|
06/15/2024
|
11/30/2024
| 15,000 | 15,000 |
{'Value': 'Standard Grant'}
|
{'Code': '05010000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}
|
{'SignBlockName': 'Hu, X. Sharon', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928910'}
|
This project aims to broaden U.S. student participation at the International Symposium on Machine Learning for Computer-aided Design (MLCAD), which has evolved significantly since 2019. The symposium is dedicated to exploring Machine Learning (ML) across all facets of Computer-aided Design (CAD) and electronic system design, jointly sponsored by the Association for Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE). Over the last six years, MLCAD has built on its successes each year, growing in attendance and the richness of discussions, making it a crucial event for both academia and industry in the domain of machine learning for electronic design automation (EDA). Funding of this proposal will not only enhance scientific discovery in areas of ML and EDA, but also broaden the impact of this interdisciplinary research field by increasing U.S. undergraduate and graduate student participation. This travel grant will provide students the opportunity to engage with leading experts in EDA and chip design by presenting their results at the conference proceedings, special sessions, and poster sessions. It will provide an exceptional opportunity for them to immerse themselves in cutting-edge research, as presentations and discussions happening in a small sized and focused group of researchers and engineers. This will be crucial for students' career development, allowing them to connect with potential mentors, collaborators, and perspective employers. <br/><br/>MLCAD has become a new leading and focused conference event on advancing cutting-edge interdisciplinary research between Machine Learning (ML) and electronic design automation (EDA). MLCAD 2024 will be the sixth MLCAD event and will be soliciting refereed conference papers, special sessions, industrial sessions, and poster session, along with an industry sponsored networking event. The focused topics will include Large Language Model for CAD, ML approaches to logic and physical design, ML for power and thermal management, ML for verification and manufacturing test, etc. This travel award will prioritize U.S. undergraduate and graduate students who are coauthors of an accepted paper or poster at MLCAD 2024, including members of underrepresented groups, and who do not have alternative funding sources to attend MLCAD 2024. Each travel award application will be reviewed by a selection committee of at least three members, based on academic merit, relevance of their research focus to the conference, and the financial feasibility.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/13/2024
|
06/13/2024
|
None
|
Grant
|
47.070
|
1
|
4900
|
4900
|
2429064
|
{'FirstName': 'Cunxi', 'LastName': 'Yu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Cunxi Yu', 'EmailAddress': '[email protected]', 'NSF_ID': '000815565', 'StartDate': '06/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'ZipCode': '207425100', 'PhoneNumber': '3014056269', 'StreetAddress': '3112 LEE BUILDING', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MD04', 'ORG_UEI_NUM': 'NPU8ULVAAS23', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND, COLLEGE PARK', 'ORG_PRNT_UEI_NUM': 'NPU8ULVAAS23'}
|
{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'StateCode': 'MD', 'ZipCode': '207425100', 'StreetAddress': '3112 LEE BUILDING', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MD04'}
|
{'Code': '779800', 'Text': 'Software & Hardware Foundation'}
|
2024~15000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429064.xml'}
|
Collaborative Research: Conference on Research on New Populations and its Applications
|
NSF
|
09/01/2024
|
08/31/2025
| 24,792 | 24,792 |
{'Value': 'Standard Grant'}
|
{'Code': '04050000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}
|
{'SignBlockName': 'Joseph Whitmeyer', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927808'}
|
To advance the science on social factors associated with the well-being – defined broadly to include social, economic, physical, psychological, and relational dimensions – of new populations, in this project social scientists are convened to present their research on new populations in the United States and influences on their well-being. With sustained levels of new populations to the country, it is crucial to promote scientific knowledge on their well-being as their population is critical for the sustenance, prosperity, and health of the nation. Representing advances in this area across a variety of disciplines – including anthropology, education, criminal justice, sociology, and economics – the scholarship presented at this convening will be published in peer-reviewed journals to enhance public knowledge on the barriers and promoters to the well-being of new populations, thereby benefiting US society. Specific efforts will be undertaken to recruit scholars from under-represented backgrounds and institutions of varying research capacities, to add a diversity of perspectives to the field.<br/><br/>Making sound decisions rooted in empirical evidence concerning new populations requires that we create spaces that amplify academic work on the subject, while also creating opportunities for the public to engage with this scholarship in consumable forms. In this conference, a collaborative effort between the George Washington University and the University of South Florida, participants present high-impact research on the well-being of new populations and take part in applied workshops on best practices for communicating that research to decision makers and the public-at-large. The intellectual merit of the conference includes its interdisciplinary and translational orientation to the application of empirical research. The translational workshops prepare a cohort of scholars with the knowledge and skills to bring empirical insights on publicly engaged scholarship on the well-being of new populations beyond the academy into decision making spaces.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/03/2024
|
07/03/2024
|
None
|
Grant
|
47.075
|
1
|
4900
|
4900
|
2429070
|
{'FirstName': 'Elizabeth', 'LastName': 'Vaquera', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elizabeth Vaquera', 'EmailAddress': '[email protected]', 'NSF_ID': '000743417', 'StartDate': '07/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'George Washington University', 'CityName': 'WASHINGTON', 'ZipCode': '200520042', 'PhoneNumber': '2029940728', 'StreetAddress': '1918 F ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'ECR5E2LU5BL6', 'ORG_LGL_BUS_NAME': 'GEORGE WASHINGTON UNIVERSITY (THE)', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'George Washington University', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200520042', 'StreetAddress': '1918 F ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}
|
{'Code': '133100', 'Text': 'Sociology'}
|
2024~24792
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429070.xml'}
|
Collaborative Research: Conference on Research on New Populations and its Applications
|
NSF
|
09/01/2024
|
08/31/2025
| 24,833 | 24,833 |
{'Value': 'Standard Grant'}
|
{'Code': '04050000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}
|
{'SignBlockName': 'Joseph Whitmeyer', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927808'}
|
To advance the science on social factors associated with the well-being – defined broadly to include social, economic, physical, psychological, and relational dimensions – of new populations, in this project social scientists are convened to present their research on new populations in the United States and influences on their well-being. With sustained levels of new populations to the country, it is crucial to promote scientific knowledge on their well-being as their population is critical for the sustenance, prosperity, and health of the nation. Representing advances in this area across a variety of disciplines – including anthropology, education, criminal justice, sociology, and economics – the scholarship presented at this convening will be published in peer-reviewed journals to enhance public knowledge on the barriers and promoters to the well-being of new populations, thereby benefiting US society. Specific efforts will be undertaken to recruit scholars from under-represented backgrounds and institutions of varying research capacities, to add a diversity of perspectives to the field.<br/><br/>Making sound decisions rooted in empirical evidence concerning new populations requires that we create spaces that amplify academic work on the subject, while also creating opportunities for the public to engage with this scholarship in consumable forms. In this conference, a collaborative effort between the George Washington University and the University of South Florida, participants present high-impact research on the well-being of new populations and take part in applied workshops on best practices for communicating that research to decision makers and the public-at-large. The intellectual merit of the conference includes its interdisciplinary and translational orientation to the application of empirical research. The translational workshops prepare a cohort of scholars with the knowledge and skills to bring empirical insights on publicly engaged scholarship on the well-being of new populations beyond the academy into decision making spaces.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/03/2024
|
07/03/2024
|
None
|
Grant
|
47.075
|
1
|
4900
|
4900
|
2429071
|
{'FirstName': 'Elizabeth', 'LastName': 'Aranda', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elizabeth M Aranda', 'EmailAddress': '[email protected]', 'NSF_ID': '000479338', 'StartDate': '07/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of South Florida', 'CityName': 'TAMPA', 'ZipCode': '336205800', 'PhoneNumber': '8139742897', 'StreetAddress': '4202 E FOWLER AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'FL15', 'ORG_UEI_NUM': 'NKAZLXLL7Z91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SOUTH FLORIDA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of South Florida', 'CityName': 'TAMPA', 'StateCode': 'FL', 'ZipCode': '336205800', 'StreetAddress': '4202 E FOWLER AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'FL15'}
|
{'Code': '133100', 'Text': 'Sociology'}
|
2024~24833
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429071.xml'}
|
Charge transfer exciton dynamics at diamond-hBN interface
|
NSF
|
09/01/2024
|
08/31/2027
| 585,000 | 585,000 |
{'Value': 'Standard Grant'}
|
{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}
|
{'SignBlockName': 'Yaroslav Koshka', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924986'}
|
Nontechnical description<br/>Interfaces between dissimilar materials such as diamond and boron nitride offer exciting possibilities for realizing exceptional electronic, optical, magnetic, and chemical properties. In this project, the research team explores these possibilities by studying the interaction of charges at the interface between diamond and hexagonal boron nitride. This boundary can be finely tuned by altering the chemical composition at the surface of the diamond, the number of boron nitride layers, and the angle at which these materials meet, providing broad design flexibility. The team uses this tunability to investigate how bound pairs of excited electrons and their corresponding positively charged empty states, which are known as excitons, form, relax, and move across the interface. The researchers employ advanced optical techniques and theoretical calculations to understand the unknown behavior of these excitons, focusing on how their dynamics change with temperature and modifications to the structure. This research could pave the way for new applications in energy conversion, optoelectronics, and microelectronics. Additionally, the project provides valuable training for graduate and undergraduate students in cutting-edge experimental and computational methods. To address education at the grassroot level, the team in collaboration with Museum of Natural History at University of Michigan will engage middle school students in scientific research via curriculum development and summer programs.<br/><br/>Technical description<br/>Van der Waals semiconductor heterointerfaces present an opportunity to develop new classes of material systems with superior electronic, optical, magnetic and chemical properties. In this project, the research team theoretically and experimentally investigates the charge transfer excitons at the diamond-hexagonal boron nitride heterointerface. This interface provides immense design flexibility of the heterointerface due to the band alignment tunability via surface passivation of diamond, number of boron nitride layers, and orientation twist angle between the two materials. The research team utilizes this tunability to explore the formation/relaxation dynamics and transport properties of charge transfer excitons. They employ advanced optical spectroscopy, along with guidance from first-principles calculations, to unravel the unknown physics associated with charge-transfer excitons, and specifically their thermalization dynamics and transport dynamics as a function of temperature to reveal the potential pathways to control it. The tightly weaved experiment-theory effort is imperative for the development of a potential excitonic material system to serve applications in energy conversion, optoelectronic, and micro-electronics. The energy transfer and transport associated with charge-transfer excitons combining diamond and boron nitride remains an unexplored territory of research and thus, presents a unique opportunity to develop a new class of material systems for opto-excitonics. By combining two quantum ready scalable systems, the research team aims to establish diamond/boron nitride interfaces as a platform for room temperature excitonic devices. The project also provides training for graduate and undergraduate students in state-of-the-art experimental and computational techniques. The topic of two-dimensional semiconductors is particularly well suited to introduce a wide range of nanotechnology-related themes. Thus, the research-team will engage in curriculum development and summer programs for middle school students in collaboration with the Museum of Natural History at University of Michigan.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/23/2024
|
07/23/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429080
|
[{'FirstName': 'Parag', 'LastName': 'Deotare', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Parag Deotare', 'EmailAddress': '[email protected]', 'NSF_ID': '000742145', 'StartDate': '07/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Emmanouil', 'LastName': 'Kioupakis', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Emmanouil Kioupakis', 'EmailAddress': '[email protected]', 'NSF_ID': '000603889', 'StartDate': '07/23/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'ZipCode': '481091079', 'PhoneNumber': '7347636438', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': 'GNJ7BBP73WE9', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'StateCode': 'MI', 'ZipCode': '481091079', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'MI06'}
|
{'Code': '177500', 'Text': 'ELECTRONIC/PHOTONIC MATERIALS'}
|
2024~585000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429080.xml'}
|
Planning: Lean Research Administration Model of Practice (RAMP)
|
NSF
|
08/15/2024
|
07/31/2025
| 100,000 | 100,000 |
{'Value': 'Standard Grant'}
|
{'Code': '01060000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OIA', 'LongName': 'OIA-Office of Integrative Activities'}}
|
{'SignBlockName': 'Dina Stroud', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032925015'}
|
The Lean Research Administration Model of Practice (RAMP) planning grant is a one-year award to prepare for a larger-scale Lean RAMP Implementation project. RAMP implementation is poised to establish a scalable model for research enterprises, irrespective of their type and size, with the aim of overcoming institutional and systemic obstacles, augmenting infrastructure, increasing efficiency, fostering relationships, bolstering the workforce, and improving research infrastructure through the application of Lean methodology to research administration. Improving the operational business of how research is done at myriad institutions promotes the progress of science and supports a robust national research enterprise.<br/> <br/><br/>The Lean Research Administration Model of Practice (RAMP) planning grant has three key objectives: to identify and establish meaningful collaborations with several academic organizations that represent diverse research administrative needs for participation in planning and implementation; to assess the state of RA regionally by designing and deploying a survey to RA broadly throughout the region, generating new knowledge and collecting baseline data; and, to develop a detailed RAMP implementation plan, inclusive of logistics, roles and responsibilities, and curriculum and change management plans. This planning work will create a solid foundation and partnership network for the implementation of RAMP, allowing for the streamlining of research administration processes across diverse academic research institutions through the adoption of Lean methodology.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/08/2024
|
08/08/2024
|
None
|
Grant
|
47.083
|
1
|
4900
|
4900
|
2429089
|
[{'FirstName': 'Amanda', 'LastName': 'Breeden', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Amanda Breeden', 'EmailAddress': '[email protected]', 'NSF_ID': '000701088', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Leah', 'LastName': 'Emerick', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Leah M Emerick', 'EmailAddress': '[email protected]', 'NSF_ID': '000993981', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Carolina', 'LastName': 'Avendano', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Carolina Avendano', 'EmailAddress': '[email protected]', 'NSF_ID': '000899428', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Nicole', 'LastName': 'Quartiero', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nicole Quartiero', 'EmailAddress': '[email protected]', 'NSF_ID': '000897493', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Denver Health and Hospital Authority', 'CityName': 'DENVER', 'ZipCode': '802044507', 'PhoneNumber': '7209562580', 'StreetAddress': '777 BANNOCK ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'CO01', 'ORG_UEI_NUM': 'MMT4LGM4H9Z5', 'ORG_LGL_BUS_NAME': 'DENVER HEALTH AND HOSPITAL AUTHORITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Denver Health and Hospital Authority', 'CityName': 'DENVER', 'StateCode': 'CO', 'ZipCode': '802044507', 'StreetAddress': '777 BANNOCK ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'CO01'}
|
{'Code': '221Y00', 'Text': 'GRANTED'}
|
2024~100000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429089.xml'}
|
I-Corps: Translation Potential of Extreme Textiles
|
NSF
|
07/01/2024
|
06/30/2025
| 50,000 | 50,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Molly Wasko', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924749'}
|
The broader impact of this I-Corps project is based on the development of a nanomaterial assembly technology for enhancing the functionality of polymers and textiles. This innovative approach addresses a critical need for sustainable and non-toxic methods in the textile industry. By enabling advanced features such as fire retardancy, antimicrobial properties, and health monitoring capabilities without compromising the mechanical strength of textiles, this technology can significantly impact various sectors, including healthcare, environmental monitoring, and consumer goods. The potential applications range from smart textiles in wearable technology, eco-friendly industrial materials, and flexible electronics to meet the growing demand for sustainable and high-performance products. This technology could also reduce environmental pollution and health risks associated with traditional textile treatments, fostering a safer and more sustainable industry.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of an eco-friendly nanomaterial assembly technology for precise and durable functionalization of polymer substrates and textiles. The technology utilizes a water-based, non-destructive process to deposit nanomaterials onto hydrophobic and chemically inert surfaces, ensuring the retention of the substrate’s or textile's inherent properties. Thus far, research has demonstrated the technology's effectiveness in adding multiple functionalities to textiles while maintaining their strength and flexibility. Technical results have shown successful applications in various textile types, paving the way for scalable and commercially viable production methods. The project aims to validate the market potential of this technology through extensive customer discovery and develop a robust business model to bring this innovative solution to market.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/25/2024
|
06/25/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2429097
|
{'FirstName': 'Bo', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bo Li', 'EmailAddress': '[email protected]', 'NSF_ID': '000757023', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Villanova University', 'CityName': 'VILLANOVA', 'ZipCode': '190851603', 'PhoneNumber': '6105194220', 'StreetAddress': '800 E LANCASTER AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'PA05', 'ORG_UEI_NUM': 'EYNYSU6L8ZX6', 'ORG_LGL_BUS_NAME': 'VILLANOVA UNIVERSITY IN THE STATE OF PENNSYLVANIA', 'ORG_PRNT_UEI_NUM': 'HJEPRMTQMMR4'}
|
{'Name': 'Villanova University', 'CityName': 'VILLANOVA', 'StateCode': 'PA', 'ZipCode': '190851603', 'StreetAddress': '800 E LANCASTER AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'PA05'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429097.xml'}
|
PFI–TT: Intelligent Software Refactoring Bot for Continuous Integration
|
NSF
|
10/01/2023
|
07/31/2025
| 250,000 | 210,916 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Samir M. Iqbal', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927529'}
|
The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project focuses on issues of economic impact: improvement of the software and systems that underpin our national infrastructure. By adopting the proposed technology, software development teams may avoid critical quality and security issues. This intelligent refactoring technology enables organizations to better maintain their software as it ages and better align their maintenance efforts with their priorities. This innovation seeks to deliver continuous will also provide training opportunities for students in technological innovation and entrepreneurship. <br/><br/>This project focuses on developing scalable methods to determine when and how to integrate developer feedback to semi-automate code refactoring for continuous integration environments while adhering to industry standards to align the effort with their commercialization objectives. Software refactoring is recognized as the key component for maintaining high quality software by restructuring existing code and reducing technical debt. Refactoring requires programmers to review, detect, and fix quality issues to improve software performance. However, refactoring is difficult to achieve and often neglected not only due to a pressure to meet release deadlines, but also due to the constraints imposed by manual refactoring as well as lack of technical skill in restructuring complex systems. The traditional root-canal refactoring process is not practical since it is time consuming and hard to integrate in the development pipelines. Hence, new refactoring tool must deliver timely support for code repair. The goal of this technology is to clearly exhibit the feasibility of combining interactive, semi-automated, refactoring technology with continuous integration via an artificial intelligence-based bot and demonstrate the implemented concept at large-scale. The effort will also support multiple programming languages including quantitative (such as accuracy, relevance, and performance) and qualitative (such as programmers' comments) aspects.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/12/2024
|
06/12/2024
|
None
|
Grant
|
47.041, 47.084
|
1
|
4900
|
4900
|
2429117
|
{'FirstName': 'Marouane', 'LastName': 'Kessentini', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marouane Kessentini', 'EmailAddress': '[email protected]', 'NSF_ID': '000636346', 'StartDate': '06/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Regents of the University of Michigan - Flint', 'CityName': 'FLINT', 'ZipCode': '485021907', 'PhoneNumber': '3137623000', 'StreetAddress': '303 E KEARSLEY ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'MI08', 'ORG_UEI_NUM': 'L8QSLB2KCRE5', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Regents of the University of Michigan - Flint', 'CityName': 'FLINT', 'StateCode': 'MI', 'ZipCode': '485021907', 'StreetAddress': '303 E KEARSLEY ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_PERF': 'MI08'}
|
[{'Code': '150400', 'Text': 'GOALI-Grnt Opp Acad Lia wIndus'}, {'Code': '166200', 'Text': 'PFI-Partnrships for Innovation'}]
|
['2021~156783', '2022~54133']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429117.xml'}
|
IGE: Track 2: Comparing rotations and direct admissions pathways to graduate education in the sciences: an assessment of policy and practice
|
NSF
|
10/01/2024
|
09/30/2029
| 995,095 | 995,095 |
{'Value': 'Standard Grant'}
|
{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}
|
{'SignBlockName': 'Daniel Denecke', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928072'}
|
This National Science Foundation Innovations of Graduate Education (IGE) Track 2 award to the University of Minnesota will assess the different ways science graduate students are matched with a faculty advisor. Recent reports suggest that graduate students increasingly struggle with their mental health, work-life balance and sense of belonging. Faculty advisors play a core role in the experiences of science graduate students in the United States. They often have significant control over a student’s stipend, workspace, resources, research project, collaborators and, ultimately, time to graduate. The influential position of the advisor makes the choice of advisor pivotal to graduate students’ progress. This project contributes to knowledge about factors affecting graduate student success by investigating the methods used to pair graduate students with an advisor and the impact those methods may have on graduate students’ sense of belonging, intent to persist in their programs, and satisfaction with their advisors. The researchers will explore the experiences of administrators, faculty, and students with the practices and policies of various recruitment methods to identify what pre-existing elements should be removed or modified.<br/><br/>The researchers will investigate the experiences of three stakeholder groups (graduate students, faculty advisors, and graduate program coordinators) with different graduate student recruitment methods (e.g., rotations and direct admission) into life sciences, chemistry, and physics. To achieve this goal, the researchers will carry out four interconnected aims. They will use a national survey of graduate students to test the hypothesis that the method of recruitment impacts students’ experiences with their advisors, interest in completing their graduate training and their sense of belonging to their research group and their program. Interviews with three stakeholder groups will be used to fulfill the three remaining aims. Interviews with faculty advisors will provide insights into how different recruitment methods impact their decisions on which students to accept. Graduate program coordinator interviews will provide information about how recruitment methods are implemented in their programs, the challenges with these approaches, and the reasons why a program uses a particular recruitment method or methods. Finally, interviews with graduate students who switched labs will reveal how students navigate program policies about changing advisors and the effect of recruitment methods on this process. Combined, these stakeholder perspectives will reveal affordances and constraints of different recruitment methods allowing for suggestions about policy recommendations and best practices. This work will contribute to knowledge about factors contributing to graduate student success and provide a foundation for programs to make data-informed decisions about recruitment procedures.<br/><br/>The Innovations in Graduate Education (IGE) program is focused on research in graduate education. The goals of IGE are to pilot, test and validate innovative approaches to graduate education and to generate the knowledge required to move these approaches into the broader community.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/05/2024
|
08/05/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2429128
|
[{'FirstName': 'Anita', 'LastName': 'Schuchardt', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anita Schuchardt', 'EmailAddress': '[email protected]', 'NSF_ID': '000769324', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Amanda', 'LastName': 'Lane', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Amanda K Lane', 'EmailAddress': '[email protected]', 'NSF_ID': '000837971', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Ariel', 'LastName': 'Steele', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ariel L Steele', 'EmailAddress': '[email protected]', 'NSF_ID': '000875600', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'StateCode': 'MN', 'ZipCode': '554550357', 'StreetAddress': '5-220 Moos Tower', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MN05'}
|
{'Code': '260Y00', 'Text': 'Innovations in Grad Education'}
|
2024~995095
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429128.xml'}
|
Enhancing the Protection of Electric Grids Amidst the Rise of Renewable Energy
|
NSF
|
08/01/2024
|
07/31/2027
| 295,149 | 295,149 |
{'Value': 'Standard Grant'}
|
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
|
{'SignBlockName': 'Aranya Chakrabortty', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032920000'}
|
This NSF project aims to address unprecedented protection challenges arising from the increasing penetration of renewable energy in modern electric grids. The global transition to clean energy sources is accelerating, but it introduces unique protection challenges that threaten the security and reliability of power grids. Renewable resources like solar and wind energy differ significantly from traditional rotating synchronous machines during short-circuit conditions. As a result, legacy protection relays struggle to function effectively with high levels of renewable energy integration. The project will bring transformative changes in the protective relaying domain by providing reliable protection for modern electrical grids with substantial renewable energy penetration. This will be achieved by exploring novel model-driven and data-driven solutions to ensure dependable fault detection and secure relay operation. The intellectual merits of the project include deepening our understanding of the behavior of renewable resources under short-circuit conditions, uncovering the inherent limitations of existing legacy relays in safeguarding power grids with inverter-based generation, and developing novel protection strategies to address current and future challenges brought by renewable energy. The broader impacts of the project include enhanced electric grid safety through more reliable protection, dedicated workforce development to address the urgent shortage of protection engineers, and promoting diversity and K-12 engagement in the engineering field. Research outcomes will be presented to technical committees to support the development of standards, guidance, and practices in protection areas.<br/><br/>The proposed model-driven approaches will incorporate dynamic protection schemes and Gaussian mixture model-based ensemble Kalman filters to address uncertainties from renewable generation. The data-driven approaches will emphasize incremental quantity-based protection functions and intelligent adaptive protection functions. Both the model-driven and data-driven strategies will be designed to withstand specific protection challenges posed by renewable energy, such as varying power flow, the loss of negative and zero sequence components, and minor changes in fault currents. Furthermore, by leveraging and optimizing existing protection infrastructure and relays, the project will develop learning-based algorithms to adaptively adjust relay settings, enhancing the protection of power grids with high levels of renewable energy penetration.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/22/2024
|
07/22/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2429138
|
{'FirstName': 'Rui', 'LastName': 'Fan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rui Fan', 'EmailAddress': '[email protected]', 'NSF_ID': '000859472', 'StartDate': '07/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Denver', 'CityName': 'DENVER', 'ZipCode': '802104711', 'PhoneNumber': '3038712000', 'StreetAddress': '2199 S UNIVERSITY BLVD RM 222', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'CO01', 'ORG_UEI_NUM': 'WCUGNQQ8DZU1', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF DENVER', 'ORG_PRNT_UEI_NUM': 'WCUGNQQ8DZU1'}
|
{'Name': 'University of Denver', 'CityName': 'DENVER', 'StateCode': 'CO', 'ZipCode': '802104711', 'StreetAddress': '2199 S UNIVERSITY BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'CO01'}
|
{'Code': '760700', 'Text': 'EPCN-Energy-Power-Ctrl-Netwrks'}
|
2024~295149
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429138.xml'}
|
Conference: Binghamton University Graduate Combinatorics, Algebra, and Topology Conference (BUGCAT Conference) 2024,2025,2026
|
NSF
|
09/15/2024
|
08/31/2027
| 42,000 | 28,000 |
{'Value': 'Continuing Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Andrew Pollington', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924878'}
|
This award supports the BUGCAT Conference (Binghamton University Graduate Combinatorics, Algebra, and Topology Conference) 2024 which will take place at the Binghamton University campus on October 26-27, 2024 and also tosupport the conference in the fall of 2025 and 2026. This conference has been running since 2008, with support from NSF in many years, including the last three in-person conferences, in 2019, 2022, and 2023. Continuing NSF support will allow to keep the conference at a current level of more than 100 registered participants, three hour-long keynote presentations, and 40-45 contributed talks of 20-25 minutes in length. The three keynote speakers are professional mathematicians, while most of the other participants are graduate students, with some postdocs and undergraduates.<br/><br/>The conference is run by a rotating committee of graduate students, with general oversight and guidance from the P.I. and some other faculty members. This helps to maintain a friendly and inclusive atmosphere, to facilitate free scientific interactions at the level appropriate for the beginning researchers at various stages of their mathematical development. This also gives the graduate student organizers experience in running a larger conference, and helps them appreciate what is involved in this, when they go give talks at conferences elsewhere. The organizers make efforts to encourage diversity, both by virtue of the varied backgrounds of the organizing committee members, and by the selection of the keynote speakers, without sacrificing the scientific level of the conference. The permanent conference website with the 2023 information, and some previous years' documents, can be found here: https://seminars.math.binghamton.edu/BUGCAT/index.html<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/16/2024
|
07/16/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429145
|
{'FirstName': 'Alexander', 'LastName': 'Borisov', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alexander A Borisov', 'EmailAddress': '[email protected]', 'NSF_ID': '000543136', 'StartDate': '07/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'ZipCode': '139024400', 'PhoneNumber': '6077776136', 'StreetAddress': '4400 VESTAL PKWY E', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'NQMVAAQUFU53', 'ORG_LGL_BUS_NAME': 'RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE', 'ORG_PRNT_UEI_NUM': 'GMZUKXFDJMA9'}
|
{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'StateCode': 'NY', 'ZipCode': '139024400', 'StreetAddress': '4400 VESTAL PKWY E', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}
|
[{'Code': '126400', 'Text': 'ALGEBRA,NUMBER THEORY,AND COM'}, {'Code': '797000', 'Text': 'Combinatorics'}]
|
2024~28000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429145.xml'}
|
IGE Track 1: Assessing and improving real-world problem-solving skills in graduate physics coursework
|
NSF
|
10/01/2024
|
09/30/2027
| 499,624 | 499,624 |
{'Value': 'Standard Grant'}
|
{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}
|
{'SignBlockName': 'Liz Webber', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924316'}
|
Physics graduate programs are designed to prepare students to be critical thinkers and independent scientists. Yet, most of the early parts of a physics graduate degree are focused on content-specific coursework in which students solve formulaic problems which bear little resemblance to the kind of ill-defined (“real-world”) problems they will encounter in the workplace. Indeed, most physics PhD recipients don’t necessarily do work directly related to physics. They need transferrable problem-solving skills that can be applied in a range of contexts so that they are able to solve problems that may not even be known at this point. This National Science Foundation Innovations in Graduate Education (IGE) Track 1 award to Auburn University will develop and validate assessments of real-world problem solving suitable for graduate physics coursework and use those assessments as a basis for program evaluation and teaching innovations. This work will modernize physics graduate education by bringing the canonical sets of physics content knowledge into the real-world. It will also contribute to literature on effective, research-based teaching in graduate STEM programs.<br/><br/>This project will bring together graduate students and practicing physicists to collaboratively (1) define skills-focused learning outcomes for graduate physics programs, (2) develop and validate assessments of those problem-solving skills, and (3) redesign graduate coursework to improve students’ training in those problem-solving skills. The first step will be done through focus groups with physicists from a range of subdisciplines to better understand how fundamental physics knowledge is used in practice. These focus groups will then inform the design of research-based assessments which can be used to measure the application of this knowledge to novel problems in physics. These assessments will be validated with a nationwide sample of physics researchers and graduate students through think-aloud interviews. These results will then form the basis of a quasi-experimental pilot test of a novel problem-solving based curriculum at Auburn University. This will set the stage for broad-scale educational innovations across graduate STEM education.<br/><br/>The Innovations in Graduate Education (IGE) program is focused on research in graduate education. The goals of IGE are to pilot, test and validate innovative approaches to graduate education and to generate the knowledge required to move these approaches into the broader community.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/08/2024
|
08/08/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2429155
|
[{'FirstName': 'Marcelo', 'LastName': 'Kuroda', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marcelo A Kuroda', 'EmailAddress': '[email protected]', 'NSF_ID': '000677229', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Guillaume', 'LastName': 'Laurent', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Guillaume M Laurent', 'EmailAddress': '[email protected]', 'NSF_ID': '000789674', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Eric', 'LastName': 'Burkholder', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eric W Burkholder', 'EmailAddress': '[email protected]', 'NSF_ID': '000873236', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'David', 'LastName': 'Maurer', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David Maurer', 'EmailAddress': '[email protected]', 'NSF_ID': '000877227', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Auburn University', 'CityName': 'AUBURN', 'ZipCode': '368490001', 'PhoneNumber': '3348444438', 'StreetAddress': '321-A INGRAM HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Alabama', 'StateCode': 'AL', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'AL03', 'ORG_UEI_NUM': 'DMQNDJDHTDG4', 'ORG_LGL_BUS_NAME': 'AUBURN UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'DMQNDJDHTDG4'}
|
{'Name': 'Auburn University', 'CityName': 'AUBURN', 'StateCode': 'AL', 'ZipCode': '368490001', 'StreetAddress': '321-A INGRAM HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Alabama', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'AL03'}
|
{'Code': '260Y00', 'Text': 'Innovations in Grad Education'}
|
2024~499624
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429155.xml'}
|
Northeastern Systems and Control Workshop, May 4, 2024
|
NSF
|
06/15/2024
|
05/31/2025
| 12,000 | 12,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
|
{'SignBlockName': 'Eyad Abed', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922303'}
|
This award will support students from institutions of higher learning in the United States to participate in the Northeastern Systems and Control Workshop (NECSW), to be held at the University of Pennsylvania on May 4, 2024. The workshop aims to provide a forum for systems and control researchers in the Northeastern United States to present their work, and to interact with graduate students, post-doctoral scholars, and faculty in an informal and collaborative setting. This will be the inaugural edition of the workshop. To promote interaction and community building, NESCW will be hosted by a different institution in the Northeast region each year. The workshop will include both oral and poster sessions. Importantly, and keeping in theme of providing visibility to junior researchers, all talks and poster presentations will be by students and postdoctoral scholars. The workshop will conclude with a social event and debate among leading researchers in the field on “hot topics” in systems and control research, that should be of interest to all members of the community. The workshop will help foster new relationships and collaborations across systems and control researchers in the Northeast region. Areas of research represented in confirmed registrants include dynamics, control, optimization, machine learning, robotics, interdisciplinary work at the intersections of these areas, and applications. All of these areas are of critical interest to the nation’s research enterprise.<br/><br/>This workshop will promote inclusion, STEM education, and partnerships. Inclusion is a main focus of the workshop, which is aimed at providing visibility and networking opportunities to junior researchers in the field, with a particular emphasis on women, persons with disabilities, and underrepresented minorities in STEM. By providing students and postdoctoral scholars the opportunity to communicate their work through presentations (via poster sessions and talks), the workshop will contribute to strengthening their technical communication and collaboration skills. Finally, through outreach and participation with industry, the workshop will promote building new partnerships between academia, industry, and government laboratories.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/03/2024
|
06/03/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2429166
|
{'FirstName': 'Nikolai', 'LastName': 'Matni', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nikolai Matni', 'EmailAddress': '[email protected]', 'NSF_ID': '000825958', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'ZipCode': '191046205', 'PhoneNumber': '2158987293', 'StreetAddress': '3451 WALNUT ST STE 440A', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'PA03', 'ORG_UEI_NUM': 'GM1XX56LEP58', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE', 'ORG_PRNT_UEI_NUM': 'GM1XX56LEP58'}
|
{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'StateCode': 'PA', 'ZipCode': '191046243', 'StreetAddress': '3330 Walnut Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'PA03'}
|
{'Code': '760700', 'Text': 'EPCN-Energy-Power-Ctrl-Netwrks'}
|
2024~12000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429166.xml'}
|
Conference: 2024 Biomineralization Gordon Research Conference and Seminar
|
NSF
|
07/01/2024
|
06/30/2025
| 4,080 | 4,080 |
{'Value': 'Standard Grant'}
|
{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}
|
{'SignBlockName': 'Nitsa Rosenzweig', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927256'}
|
Non-technical Abstract<br/><br/>The 2024 Gordon Research Conference (GRC) on Biomineralization (‘Revealing the Unifying Principles of Biomineralization through Model Systems’) and the associated Gordon Research Seminar (GRS: ‘Mineralization Pathways and Principles’) are being held at Colby Sawyer College in New London, New Hampshire on August 3-4 and 4-9, 2024, respectively. These conferences will bring together early career and established scientists from around the globe with multidisciplinary backgrounds and diverse expertise to bridge the relevant scientific disciplines required for understanding the formation, function, environmental impact, and applications of biominerals. Together the GRC and GRS will create a supportive and open community that fosters fruitful interactions among graduate students, postdoctoral fellows, and early career investigators with established scientists. To this end, the conference brings together scientists from academia, national laboratories, and industry to discuss the latest advances and challenges in Biomineralization.<br/><br/><br/>Technical Abstract<br/><br/>With support from the Biomaterials program, the organizers of the 2024 Gordon Research Seminar and Conference on Biomineralization will provide scholarships for students and postdoctoral to participate in the conference and join the "Biomineralization" community. A particular focus of the conference will be on unveiling fundamental biomineralization mechanisms that have been preserved through evolutionary times and understand how they have been adapted to fulfill a multitude of biological functions in a large variety of organisms. This year, the conference will address three specific areas: (i) identifying universal scientific principles and mechanisms that are common to biomineralization processes in evolutionary diverse organisms, (ii) identifying the most advanced in vitro and in vivo model systems, as well as state-of-the-art analytical technologies to study biomineralization mechanisms across scales, and (iii) exploring scientific principles for the purpose of translational research. Oral sessions will highlight new developments studying the main biominerals (Ca-carbonates, Ca-phosphates, SiO2, Fe3O4), from single-celled prokaryotic and eukaryotic organisms to increasingly complex multicellular invertebrates and finally vertebrate animals and humans.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/25/2024
|
06/25/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429234
|
{'FirstName': 'Lara', 'LastName': 'Estroff', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lara A Estroff', 'EmailAddress': '[email protected]', 'NSF_ID': '000241672', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'ZipCode': '028183454', 'PhoneNumber': '4017834011', 'StreetAddress': '5586 POST RD UNIT 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Rhode Island', 'StateCode': 'RI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'RI02', 'ORG_UEI_NUM': 'XL5ANMKWN557', 'ORG_LGL_BUS_NAME': 'GORDON RESEARCH CONFERENCES', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'StateCode': 'RI', 'ZipCode': '028183454', 'StreetAddress': '5586 POST RD UNIT 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Rhode Island', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'RI02'}
|
{'Code': '762300', 'Text': 'BIOMATERIALS PROGRAM'}
|
2024~4080
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429234.xml'}
|
Equipment: CHIPS: Additive Manufacturing in 3D: precision digital manufacturing
|
NSF
|
10/01/2024
|
09/30/2025
| 689,074 | 689,074 |
{'Value': 'Standard Grant'}
|
{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}
|
{'SignBlockName': 'Joyce Belcher', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928221'}
|
The National Science Foundation Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) supports projects that enhance undergraduate science, technology, engineering, and mathematics (STEM) education and research at HBCUs, as means to broaden participation in the nation's STEM workforce. This project aims to integrate research and education in the chemistry and engineering of multifunctional materials and 3D printing to educate the next generation of STEM scientists. This HBCU-UP equipment award provides Florida A&M University with funding to support the purchase of a nScrypt 6-axis 3D printing system which will be utilized to produce novel devices and structures of interest to meet critical needs. The equipment expands capacities to conduct precision manufacturing of finished products in true 3D, such as integrated circuits and electronic components, like sensors, in helmets and other wearables, or in projectiles, rocket ships, drones, or medical devices as well as producing conformally printed materials for high temperature applications of interest. The newly established access to this equipment will increase student engagement and training at undergraduate, graduate and postdoctoral levels and train the next generation scientists in an area of national need. This project also plays a key role in expanding faculty scholarship in the newly formed Materials Science and Engineering Department at Florida A&M University, thus expanding the research capacity at an HBCU in alignment with the goals outlined in the CHIPS and Science Act of 2022.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/05/2024
|
08/05/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2429243
|
[{'FirstName': 'Subramanian', 'LastName': 'Ramakrishnan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Subramanian Ramakrishnan', 'EmailAddress': '[email protected]', 'NSF_ID': '000066292', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Jamel', 'LastName': 'Ali', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jamel Ali', 'EmailAddress': '[email protected]', 'NSF_ID': '000658881', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Satyanarayan', 'LastName': 'Dev', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Satyanarayan Dev', 'EmailAddress': '[email protected]', 'NSF_ID': '000700706', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Bayaner', 'LastName': 'Arigong', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bayaner Arigong', 'EmailAddress': '[email protected]', 'NSF_ID': '000756483', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Florida Agricultural and Mechanical University', 'CityName': 'TALLAHASSEE', 'ZipCode': '323070001', 'PhoneNumber': '8505993531', 'StreetAddress': '1700 LEE HALL DR #201', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'FL02', 'ORG_UEI_NUM': 'W8LKB16HV1K5', 'ORG_LGL_BUS_NAME': 'FLORIDA A & M UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'W8LKB16HV1K5'}
|
{'Name': 'Florida Agricultural and Mechanical University', 'CityName': 'TALLAHASSEE', 'StateCode': 'FL', 'ZipCode': '323070001', 'StreetAddress': '1700 LEE HALL DR #201', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'FL02'}
|
{'Code': '159400', 'Text': 'Hist Black Colleges and Univ'}
|
2024~689074
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429243.xml'}
|
CAREER: Geometric Quantum Order: Fractons, Tensor Gauge Theories and Beyond
|
NSF
|
07/01/2024
|
06/30/2026
| 574,588 | 464,834 |
{'Value': 'Continuing Grant'}
|
{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}
|
{'SignBlockName': 'Daryl Hess', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924942'}
|
NONTECHNICAL SUMMARY<br/>This CAREER award supports joint theoretical research and education to advance the theoretical foundations of condensed matter physics. Condensed matter physics concerns itself with systems composed of a large number of interacting constituents. Materials are a common example as they contain many atoms and many electrons. It is common to think of such complex systems not in terms of the individual constituents, but rather in terms of properties that emerge from their collective behavior. The concept of phases of matter is an important example of a collective property. Systems that show the same phase have similar properties. Ferromagnets have the collective property that the constituent atoms or electrons align in such a way that the magnetic axis of each one points in the same direction. Ferromagnets made of different materials are all ferromagnets. However, a ferromagnet is qualitatively different from an antiferromagnetic phase in which the magnetic axis of one atom points in the direction opposite that of its neighbor. So, systems that belong to the same phase have similar qualitative properties, while systems that belong to different phases have different properties. When quantum mechanics mingles with strong interactions among constituents very strange phases can emerge, such as the topological phases of the fractional quantum Hall effect; the latter occurs when electrons confined to a two-dimension plane by semiconductors are exposed to an intense magnetic field.<br/><br/>Recently proposed fracton phases of matter are another turning point in this development. These phases have the interesting and distinct property of being hypersensitive to the geometry of the underlying material, for example the way atoms are organized on a lattice, as well as the presence of geometric distortions of the lattice. The PI will undertake a careful study and characterization of these phases, which necessitates the development new concepts and new theoretical tools. New tools will help advance understanding of the physical properties of fracton phases as well as suggest routes for experimental detection of fractions in materials. This is fundamental research; however, fractons could play an important role in developing quantum memory, and suggest new ways to think about quantum computing. Finally, it is already becoming clear that some fracton phenomena may have been discovered long ago in superfluids and liquid crystals, without realizing that these are but a page of a much bigger story. The PI will utilize the new techniques developed in the fracton context to gain new insights into the problems of vortices in superconductors, turbulence, and quantum liquid crystals.<br/><br/>The education component of this CAREER project includes training undergraduate and graduate students. Students will explore how to use machine learning methods to gain insight into theoretical problems. The PI will participate in global efforts to increase diversity in physics through mentoring undergraduate students who are members of underrepresented groups leveraging American Physical Society initiatives. The PI will engage in outreach in local high schools by participating in career days and encouraging students to study science. PI will develop a course aimed at undergraduate and graduate students that will focus on applications of condensed matter physics ideas to deep neural networks.<br/> <br/>TECHNICAL SUMMARY<br/>This CAREER award supports joint theoretical research and education to advance the theoretical foundations of strongly correlated topological and geometric phases of matter. The project is focused on the physics of systems that support emergent fracton excitations. These excitations possess two remarkable properties: (i) they are topologically non-trivial and (ii) they cannot freely move through space. The constraints on their motion arise dynamically, while the underlying physical system is translation invariant. <br/><br/>More concretely the research concentrated on three major efforts. (i) Fracton excitations can emerge in gapless correlated spin liquids. The PI will explore how the existence of these excitations affects observable properties of these systems. (ii) The constrained mobility of fracton excitations can be formally imposed by introducing additional symmetries. The variety of all possible mobility constraints roughly corresponds to all possible symmetries of this kind. The PI will develop a general theory of such symmetries and their manifestation in low energy properties of the physical systems constrained by these symmetries. (iii) A particular form of fracton behavior is already present in well-known systems such as superfluids, liquid crystals and quantum Hall states, where vortices, crystalline defects and composite fermions have a subtle version of constrained motion. The PI will investigate this tantalizing connection with the expectation that fracton machinery will provide a fresh look at these systems.<br/> <br/>The education component of this CAREER project includes training undergraduate and graduate students. Students will explore how to use machine learning methods to gain insight into theoretical problems. The PI will participate in global efforts to increase diversity in physics through mentoring undergraduate students who are members of underrepresented groups leveraging American Physical Society initiatives. The PI will engage in outreach in local high schools by participating in career days and encouraging students to study science. PI will develop a course aimed at undergraduate and graduate students that will focus on applications of condensed matter physics ideas to deep neural networks.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/26/2024
|
06/26/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429246
|
{'FirstName': 'Andrey', 'LastName': 'Gromov', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Andrey Gromov', 'EmailAddress': '[email protected]', 'NSF_ID': '000833383', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'ZipCode': '207425100', 'PhoneNumber': '3014056269', 'StreetAddress': '3112 LEE BUILDING', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MD04', 'ORG_UEI_NUM': 'NPU8ULVAAS23', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND, COLLEGE PARK', 'ORG_PRNT_UEI_NUM': 'NPU8ULVAAS23'}
|
{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'StateCode': 'MD', 'ZipCode': '207425100', 'StreetAddress': '3112 LEE BUILDING', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MD04'}
|
[{'Code': '171200', 'Text': 'DMR SHORT TERM SUPPORT'}, {'Code': '176500', 'Text': 'CONDENSED MATTER & MAT THEORY'}]
|
['2021~113409', '2023~351425']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429246.xml'}
|
Conference: Building Collaborations in the Study of Polarization
|
NSF
|
06/01/2024
|
05/31/2025
| 49,962 | 49,962 |
{'Value': 'Standard Grant'}
|
{'Code': '04050000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}
|
{'SignBlockName': 'Brian Crisp', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927951'}
|
Part 1:<br/>This conference will focus on ways to integrate mass-level theories of polarization with institutional theories of legislative behavior and organization. By facilitating collaboration between them this project aims to expand and refine existing theoretical approaches to assess how constituency-level factors affect polarization within the legislature, and how that, in turn, influences legislative behavior and outcomes. The project will integrate important changes in findings about the electorate into institutional theories of legislative politics and behavior. The conference will lead to a better understanding of the nature and consequences of legislative politics in an increasingly polarized world. The effort to integrate mass-level theories of polarization into institutional theories of legislative behavior holds the potential to account for the institutional implications arising from significant changes in constituency-based elements of partisanship. the participant list includes scholars from a range of institution types, ranging from non-PhD granting, teaching-focused institutions to highly selective private and flagship state PhD granting institutions. Additionally, half of the invitees are women. The PIs will seek to include graduate students, and potentially, undergraduate students in the research endeavor, by encouraging the invited participants to identify students whose research interests mesh with the project description.<br/><br/>Part 2: <br/>This conference will focus on ways to integrate mass-level theories of polarization with institutional theories of legislative behavior and organization. By facilitating collaboration between them this project aims to expand and refine existing theoretical approaches to assess how constituency-level factors affect polarization within the legislature, and how that, in turn, influences legislative behavior and outcomes. The project will integrate important changes in findings about the electorate into institutional theories of legislative behavior. The conference will lead to a better understanding of the nature and consequences of legislative behavior in an increasingly polarized world. The effort to integrate mass-level theories of polarization into institutional theories of legislative behavior holds the potential to account for the institutional implications arising from significant changes in constituency-based elements of partisanship. the participant list includes scholars from a range of institution types, ranging from non-PhD granting, teaching-focused institutions to highly selective private and flagship state PhD granting institutions. Additionally, half of the invitees are women. The PIs will seek to include graduate students, and potentially, undergraduate students in the research endeavor, by encouraging the invited participants to identify students whose research interests mesh with the project description.<br/><br/> Part 3:<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/28/2024
|
05/28/2024
|
None
|
Grant
|
47.075
|
1
|
4900
|
4900
|
2429247
|
[{'FirstName': 'David', 'LastName': 'Peterson', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David A Peterson', 'EmailAddress': '[email protected]', 'NSF_ID': '000429671', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Timothy', 'LastName': 'Nokken', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Timothy Nokken', 'EmailAddress': '[email protected]', 'NSF_ID': '000400833', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'Texas Tech University', 'CityName': 'LUBBOCK', 'ZipCode': '79409', 'PhoneNumber': '8067423884', 'StreetAddress': '2500 BROADWAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'TX19', 'ORG_UEI_NUM': 'EGLKRQ5JBCZ7', 'ORG_LGL_BUS_NAME': 'TEXAS TECH UNIVERSITY SYSTEM', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Texas Tech University', 'CityName': 'LUBBOCK', 'StateCode': 'TX', 'ZipCode': '794091035', 'StreetAddress': '2500 BROADWAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'TX19'}
|
{'Code': '120Y00', 'Text': 'AIB-Acctble Institutions&Behav'}
|
2024~49962
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429247.xml'}
|
Collaborative Research: Conference: Hudson River Undergraduate Mathematics Conference 2025-2027
|
NSF
|
01/01/2025
|
12/31/2027
| 13,077 | 13,077 |
{'Value': 'Standard Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Wing Suet Li', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924630'}
|
This award is to support the next three meetings of the Hudson River Undergraduate Mathematics Conference (HRUMC), to be held in 2025, 2026, and 2027 during the spring. HRUMC is a regional undergraduate research conference in mathematics that has been held annually since 1994, bringing together about 300 undergraduates and faculty from colleges and universities in the northeast. The conference aims to inspire undergraduate students at all levels to see themselves as vital participants in a broad mathematical community and, hence, encourage them to persist in the mathematical sciences; to provide undergraduate students from a variety of institutions with an opportunity to learn more about the communities within the mathematical sciences, broadly defined, by interacting and networking with peers and faculty; to encourage undergraduates to engage in mathematical research at many levels by providing them with a professional venue in which to share their mathematical research and scholarship and to practice communicating it through formal talks; and to encourage students from underrepresented groups and women to participate in the mathematics and mathematics-adjacent communities.<br/><br/><br/>HRUMC offers a full day of research talks, an hour-long keynote address by a well-known mathematical scientist, professional development activities, and engaging discussions across a wide array of topics in mathematics, statistics, and data science. Most of the research talks are given by students, featuring work resulting from student theses, Research Experiences for Undergraduates (REU) projects, and/or other independent research. Faculty also give research talks pitched at a level that is accessible to advanced undergraduate math students. The talks are 15-minutes long, grouped into sessions which each have a uniting topic or theme, and which are then organized into parallel sessions over three blocks of time throughout the day. The fields covered are wide-ranging, historically including, but not limited to abstract algebra, analysis, data science, discrete math, graph theory, knot theory, linear algebra, mathematics education, mathematics history, number theory, statistics, and topology. The professional development activities focus on graduate study opportunities, career options, and community-building and community-expanding within mathematics. More information about the conference can be found at can be found at https://sites.google.com/view/hrumc.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/09/2024
|
08/09/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429252
|
[{'FirstName': 'Gregory', 'LastName': 'Malen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gregory Malen', 'EmailAddress': '[email protected]', 'NSF_ID': '000864747', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Lucy', 'LastName': 'Oremland', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lucy Oremland', 'EmailAddress': '[email protected]', 'NSF_ID': '000994882', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Skidmore College', 'CityName': 'SARATOGA SPRINGS', 'ZipCode': '128661632', 'PhoneNumber': '5185808052', 'StreetAddress': '815 N BROADWAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_ORG': 'NY20', 'ORG_UEI_NUM': 'K2DDAS2E6DP7', 'ORG_LGL_BUS_NAME': 'SKIDMORE COLLEGE', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Skidmore College', 'CityName': 'SARATOGA SPRINGS', 'StateCode': 'NY', 'ZipCode': '128661632', 'StreetAddress': '815 N BROADWAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_PERF': 'NY20'}
|
{'Code': '126000', 'Text': 'INFRASTRUCTURE PROGRAM'}
|
2024~13077
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429252.xml'}
|
Collaborative Research: Conference: Hudson River Undergraduate Mathematics Conference 2025-2027
|
NSF
|
01/01/2025
|
12/31/2027
| 14,723 | 14,723 |
{'Value': 'Standard Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Wing Suet Li', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924630'}
|
This award is to support the next three meetings of the Hudson River Undergraduate Mathematics Conference (HRUMC), to be held in 2025, 2026, and 2027 during the spring. HRUMC is a regional undergraduate research conference in mathematics that has been held annually since 1994, bringing together about 300 undergraduates and faculty from colleges and universities in the northeast. The conference aims to inspire undergraduate students at all levels to see themselves as vital participants in a broad mathematical community and, hence, encourage them to persist in the mathematical sciences; to provide undergraduate students from a variety of institutions with an opportunity to learn more about the communities within the mathematical sciences, broadly defined, by interacting and networking with peers and faculty; to encourage undergraduates to engage in mathematical research at many levels by providing them with a professional venue in which to share their mathematical research and scholarship and to practice communicating it through formal talks; and to encourage students from underrepresented groups and women to participate in the mathematics and mathematics-adjacent communities.<br/><br/>HRUMC offers a full day of research talks, an hour-long keynote address by a well-known mathematical scientist, professional development activities, and engaging discussions across a wide array of topics in mathematics, statistics, and data science. Most of the research talks are given by students, featuring work resulting from student theses, Research Experiences for Undergraduates (REU) projects, and/or other independent research. Faculty also give research talks pitched at a level that is accessible to advanced undergraduate math students. The talks are 15-minutes long, grouped into sessions which each have a uniting topic or theme, and which are then organized into parallel sessions over three blocks of time throughout the day. The fields covered are wide-ranging, historically including, but not limited to: abstract algebra, analysis, data science, discrete math, graph theory, knot theory, linear algebra, mathematics education, mathematics history, number theory, statistics, and topology. The professional development activities focus on graduate study opportunities, career options, and community-building and community-expanding within mathematics. More information about the conference can be found at can be found at https://sites.google.com/view/hrumc.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/09/2024
|
08/09/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429253
|
[{'FirstName': 'Jeffrey', 'LastName': 'Hatley', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jeffrey W Hatley', 'EmailAddress': '[email protected]', 'NSF_ID': '000678388', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Paul', 'LastName': 'Friedman', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Paul D Friedman', 'EmailAddress': '[email protected]', 'NSF_ID': '000995120', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'Union College', 'CityName': 'SCHENECTADY', 'ZipCode': '123083256', 'PhoneNumber': '5183886101', 'StreetAddress': '807 UNION ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_ORG': 'NY20', 'ORG_UEI_NUM': 'HE9HQBNZHHB5', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF UNION COLLEGE IN THE TOWN OF SCHENECTADY IN THE STATE OF NEW YORK', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Union College', 'CityName': 'SCHENECTADY', 'StateCode': 'NY', 'ZipCode': '123083256', 'StreetAddress': '807 UNION ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_PERF': 'NY20'}
|
{'Code': '126000', 'Text': 'INFRASTRUCTURE PROGRAM'}
|
2024~14723
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429253.xml'}
|
Collaborative Research: Conference: Hudson River Undergraduate Mathematics Conference 2025-2027
|
NSF
|
01/01/2025
|
12/31/2027
| 17,521 | 17,521 |
{'Value': 'Standard Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Wing Suet Li', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924630'}
|
This award is to support the next three meetings of the Hudson River Undergraduate Mathematics Conference (HRUMC), to be held in 2025, 2026, and 2027 during the spring. HRUMC is a regional undergraduate research conference in mathematics that has been held annually since 1994, bringing together about 300 undergraduates and faculty from colleges and universities in the northeast. The conference aims to inspire undergraduate students at all levels to see themselves as vital participants in a broad mathematical community and, hence, encourage them to persist in the mathematical sciences; to provide undergraduate students from a variety of institutions with an opportunity to learn more about the communities within the mathematical sciences, broadly defined, by interacting and networking with peers and faculty; to encourage undergraduates to engage in mathematical research at many levels by providing them with a professional venue in which to share their mathematical research and scholarship and to practice communicating it through formal talks; and to encourage students from underrepresented groups and women to participate in the mathematics and mathematics-adjacent communities.<br/><br/><br/>HRUMC offers a full day of research talks, an hour-long keynote address by a well-known mathematical scientist, professional development activities, and engaging discussions across a wide array of topics in mathematics, statistics, and data science. Most of the research talks are given by students, featuring work resulting from student theses, Research Experiences for Undergraduates (REU) projects, and/or other independent research. Faculty also give research talks pitched at a level that is accessible to advanced undergraduate math students. The talks are 15-minutes long, grouped into sessions which each have a uniting topic or theme, and which are then organized into parallel sessions over three blocks of time throughout the day. The fields covered are wide-ranging, historically including, but not limited to: abstract algebra, analysis, data science, discrete math, graph theory, knot theory, linear algebra, mathematics education, mathematics history, number theory, statistics, and topology. The professional development activities focus on graduate study opportunities, career options, and community-building and community-expanding within mathematics. More information about the conference can be found at can be found at https://sites.google.com/view/hrumc.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/09/2024
|
08/09/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429254
|
[{'FirstName': 'Benjamin', 'LastName': 'Lotto', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Benjamin A Lotto', 'EmailAddress': '[email protected]', 'NSF_ID': '000158627', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Kariane', 'LastName': 'Calta', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kariane Calta', 'EmailAddress': '[email protected]', 'NSF_ID': '000574222', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'Vassar College', 'CityName': 'POUGHKEEPSIE', 'ZipCode': '126040001', 'PhoneNumber': '8454377092', 'StreetAddress': '124 RAYMOND AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_ORG': 'NY18', 'ORG_UEI_NUM': 'J3XVZ8JZRJV8', 'ORG_LGL_BUS_NAME': 'VASSAR COLLEGE', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Vassar College', 'CityName': 'POUGHKEEPSIE', 'StateCode': 'NY', 'ZipCode': '126040001', 'StreetAddress': '124 RAYMOND AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_PERF': 'NY18'}
|
{'Code': '126000', 'Text': 'INFRASTRUCTURE PROGRAM'}
|
2024~17521
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429254.xml'}
|
I-Corps: Translation Potential of a Treatment System for Glioblastoma
|
NSF
|
07/01/2024
|
06/30/2025
| 50,000 | 50,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Molly Wasko', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924749'}
|
The broader impact of this I-Corps project is based on the development of an improved approach to treating Glioblastoma to improve patient outcomes and well-being. By offering a minimally invasive, potentially more effective treatment, this approach is expected to result in improved patient outcomes and quality of life, addressing a critical need within oncology care. The innovation underlying the solution enriches magnetic hyperthermia therapy (MHT) and nanoparticle technology. This project illustrates the potential for cutting-edge treatments to influence healthcare policies towards more innovative and cost-effective solutions, offering economic benefits and setting a precedent for future medical technologies. Furthermore, this project underscores the societal value of investing in health innovation for the betterment of patient care and treatment possibilities across various diseases.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of an innovative treatment system for Glioblastoma, a highly aggressive brain cancer with limited current treatment options. This system utilizes Magnetic Hyperthermia Therapy (MHT) with magnetic iron oxide nanoparticles to selectively target and destroy tumor cells while preserving surrounding healthy tissue. This solution integrates multiple functionalities into a single, minimally invasive device, including real-time temperature monitoring for precise therapy delivery, tumor debulking, biopsy capabilities, and electrocautery to minimize blood loss. This approach has shown promising results in small animal trials, indicating its potential to significantly improve Glioblastoma treatment outcomes.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/17/2024
|
06/17/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2429278
|
{'FirstName': 'Turner', 'LastName': 'Baker', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Turner S Baker', 'EmailAddress': '[email protected]', 'NSF_ID': '000909506', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Icahn School of Medicine at Mount Sinai', 'CityName': 'NEW YORK', 'ZipCode': '100296504', 'PhoneNumber': '2128248300', 'StreetAddress': '1 GUSTAVE L LEVY PL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'NY13', 'ORG_UEI_NUM': 'C8H9CNG1VBD9', 'ORG_LGL_BUS_NAME': 'ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI', 'ORG_PRNT_UEI_NUM': 'C8H9CNG1VBD9'}
|
{'Name': 'Icahn School of Medicine at Mount Sinai', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100296504', 'StreetAddress': '1 GUSTAVE L LEVY PL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'NY13'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429278.xml'}
|
Collaborative Research: In-plane Epitaxial Two-Dimensional Chalcogenide Quantum Dots for Tunable Quantum Photonics
|
NSF
|
09/01/2024
|
08/31/2027
| 310,520 | 310,520 |
{'Value': 'Standard Grant'}
|
{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}
|
{'SignBlockName': 'Yaroslav Koshka', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924986'}
|
Nontechnical description<br/>Quantum confined structures such as quantum wells and quantum dots (QDs) are a key element in a majority of modern electronic and opto-electronic devices ranging from lasers to high-speed photodetectors, and more recently in quantum information sciences where quantum dots form the basis for spin-qubits or quantum light sources. While III-V and II-VI semiconductors have been researched extensively over the years and offer promise to applications, their widespread utility is limited by challenges associated with light extraction from the material and ability to integrate with a silicon platform. The emergence of two-dimensional (2D) materials has revolutionized the conception and design of electronic heterostructures from that of buried interfaces within lattice matched III-V multi-layer structures to atomically thin van der Waals stacks with arbitrary control over stacking. The project takes this concept further to develop 2D analogues of QD structures via the fabrication of compositionally modulated dots with deep-subwavelength (< 20 nm) dimensions embedded within atomically thin monolayer transition metal dichalcogenide sheets that can be easily integrated into device structures. The research investigates controlled synthesis of the 2D QD structures with varying composition; atomic-scale analysis of structure, chemistry, and defects; and exploration of their electronic and nanophotonic properties. The project forms the thesis research of two Ph.D. students who are co-advised by the principal investigators (PIs). Undergraduate students from the PIs and partner institutions participate in the research during the academic year or through summer research programs. Graduate and undergraduate students are exposed to a rich collaborative research environment through interactions and internships with researchers at government lab facilities. <br/><br/>Technical description<br/>The development of bright, tunable, easy to scale and integrate quantum light courses stands as a paramount objective for applications ranging from quantum information processing to quantum sensing and metrology. Quantum dots (QDs) and defect emitters are particularly promising candidates for scalable quantum systems since they are based on a semiconductor platform which leverages existing infrastructure. Quantum emitters based on 2D transition metal dichalcogenides (TMDs) are of particular interest due to their ultra-thin nature and van der Waals bonding, which enables high light extraction efficiency and hetero-integration via layer stacking. Approaches pursued thus far to achieve quantum emission from 2D TMDs include controlled defect/impurity introduction, strained nanostructured surfaces and twisted bilayers. This project focuses on the development of a new class of 2D quantum emitters based on in-plane 2D TMD quantum dots embedded within wafer-scale continuous monolayer sheets. The research focuses on two dot/matrix combinations: MoSe2/WSe2 and MoS2/WS2 (Type II band alignment) and MoSe2/WS2 and ReS2/MoS2 (possible Type I alignment). The work encompasses studies of TMD epitaxy on single crystal substrates focused on tuning the size, shape, density and uniformity of dots and the dot/matrix interface providing insights into the fundamental mechanisms of TMD nucleation, lateral growth and heterointerface structure. Comprehensive exploration of the electronic and optical properties of the samples enables new insights into exciton confinement and charge transfer in in-plane heterostructures. A combination of scanning probe based near-field electronic (surface potential and conductance mapping) and optical techniques (Raman and photoluminescence (PL)) are used in conjunction with far-field spectroscopy (reflectance, ellipsometry and PL) and gated measurements to determine the nature of band alignment and exciton confinement in these heterostructures. The project provides fundamental insights into quantum confinement in in-plane TMD heterostructures and lays the groundwork for future development of TMD QDs monolayers for quantum light emission.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/08/2024
|
07/08/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429280
|
{'FirstName': 'Joan', 'LastName': 'Redwing', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joan Redwing', 'EmailAddress': '[email protected]', 'NSF_ID': '000214798', 'StartDate': '07/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'ZipCode': '168021503', 'PhoneNumber': '8148651372', 'StreetAddress': '201 OLD MAIN', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'PA15', 'ORG_UEI_NUM': 'NPM2J7MSCF61', 'ORG_LGL_BUS_NAME': 'THE PENNSYLVANIA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'StateCode': 'PA', 'ZipCode': '168021503', 'StreetAddress': '201 OLD MAIN', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'PA15'}
|
{'Code': '177500', 'Text': 'ELECTRONIC/PHOTONIC MATERIALS'}
|
2024~310520
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429280.xml'}
|
Collaborative Research: In-plane Epitaxial Two-Dimensional Chalcogenide Quantum Dots for Tunable Quantum Photonics
|
NSF
|
09/01/2024
|
08/31/2027
| 301,595 | 301,595 |
{'Value': 'Standard Grant'}
|
{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}
|
{'SignBlockName': 'Yaroslav Koshka', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924986'}
|
Nontechnical description<br/>Quantum confined structures such as quantum wells and quantum dots (QDs) are a key element in a majority of modern electronic and opto-electronic devices ranging from lasers to high-speed photodetectors, and more recently in quantum information sciences where quantum dots form the basis for spin-qubits or quantum light sources. While III-V and II-VI semiconductors have been researched extensively over the years and offer promise to applications, their widespread utility is limited by challenges associated with light extraction from the material and ability to integrate with a silicon platform. The emergence of two-dimensional (2D) materials has revolutionized the conception and design of electronic heterostructures from that of buried interfaces within lattice matched III-V multi-layer structures to atomically thin van der Waals stacks with arbitrary control over stacking. The project takes this concept further to develop 2D analogues of QD structures via the fabrication of compositionally modulated dots with deep-subwavelength (< 20 nm) dimensions embedded within atomically thin monolayer transition metal dichalcogenide sheets that can be easily integrated into device structures. The research investigates controlled synthesis of the 2D QD structures with varying composition; atomic-scale analysis of structure, chemistry, and defects; and exploration of their electronic and nanophotonic properties. The project forms the thesis research of two Ph.D. students who are co-advised by the principal investigators (PIs). Undergraduate students from the PIs and partner institutions participate in the research during the academic year or through summer research programs. Graduate and undergraduate students are exposed to a rich collaborative research environment through interactions and internships with researchers at government lab facilities. <br/><br/>Technical description<br/>The development of bright, tunable, easy to scale and integrate quantum light courses stands as a paramount objective for applications ranging from quantum information processing to quantum sensing and metrology. Quantum dots (QDs) and defect emitters are particularly promising candidates for scalable quantum systems since they are based on a semiconductor platform which leverages existing infrastructure. Quantum emitters based on 2D transition metal dichalcogenides (TMDs) are of particular interest due to their ultra-thin nature and van der Waals bonding, which enables high light extraction efficiency and hetero-integration via layer stacking. Approaches pursued thus far to achieve quantum emission from 2D TMDs include controlled defect/impurity introduction, strained nanostructured surfaces and twisted bilayers. This project focuses on the development of a new class of 2D quantum emitters based on in-plane 2D TMD quantum dots embedded within wafer-scale continuous monolayer sheets. The research focuses on two dot/matrix combinations: MoSe2/WSe2 and MoS2/WS2 (Type II band alignment) and MoSe2/WS2 and ReS2/MoS2 (possible Type I alignment). The work encompasses studies of TMD epitaxy on single crystal substrates focused on tuning the size, shape, density and uniformity of dots and the dot/matrix interface providing insights into the fundamental mechanisms of TMD nucleation, lateral growth and heterointerface structure. Comprehensive exploration of the electronic and optical properties of the samples enables new insights into exciton confinement and charge transfer in in-plane heterostructures. A combination of scanning probe based near-field electronic (surface potential and conductance mapping) and optical techniques (Raman and photoluminescence (PL)) are used in conjunction with far-field spectroscopy (reflectance, ellipsometry and PL) and gated measurements to determine the nature of band alignment and exciton confinement in these heterostructures. The project provides fundamental insights into quantum confinement in in-plane TMD heterostructures and lays the groundwork for future development of TMD QDs monolayers for quantum light emission.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/08/2024
|
07/08/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429281
|
{'FirstName': 'Deep', 'LastName': 'Jariwala', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Deep M Jariwala', 'EmailAddress': '[email protected]', 'NSF_ID': '000770172', 'StartDate': '07/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'ZipCode': '191046205', 'PhoneNumber': '2158987293', 'StreetAddress': '3451 WALNUT ST STE 440A', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'PA03', 'ORG_UEI_NUM': 'GM1XX56LEP58', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE', 'ORG_PRNT_UEI_NUM': 'GM1XX56LEP58'}
|
{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'StateCode': 'PA', 'ZipCode': '191043405', 'StreetAddress': '3205 Walnut Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'PA03'}
|
{'Code': '177500', 'Text': 'ELECTRONIC/PHOTONIC MATERIALS'}
|
2024~301595
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429281.xml'}
|
I-Corps: Translation potential of a microfluidic, dual-gel cell culture technology for drug discovery
|
NSF
|
06/01/2024
|
05/31/2025
| 50,000 | 50,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Ruth Shuman', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922160'}
|
The broader impact of this I-Corps project is the development of a drug discovery research tool. Currently, drug discovery research relies on animal testing of the potential new drugs. This technology is designed to simulate the human tumor microenvironment and reduce reliance on animal testing. The solution closely mimics human physiological responses, and may offer an alternative for drug testing, reducing the need for testing in animal models and addressing ethical concerns in research. In addition, this technology may enhance drug efficacy and safety assessments, leading to more successful therapeutic outcomes and reducing the time and cost of the drug development processes.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of microfluidic cell culture technology that creates dual-gel cell culture matrices. The goal is to create a drug discovery research tool to enable the study of cellular responses under conditions that closely mimic those in human tissues including tumor tissues. This cell culture device enables individual control of relevant biophysical properties of the matrices, including flow induced stresses on cells. The device also allows for co-culture of two or more types of cells with a well-controlled number ratio and spatial distribution. This technology may facilitate a deeper understanding of how drugs interact with tumor cells, providing critical insights that could lead to more targeted and effective cancer treatments.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/28/2024
|
05/28/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2429285
|
{'FirstName': 'Jing', 'LastName': 'Fan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jing Fan', 'EmailAddress': '[email protected]', 'NSF_ID': '000734461', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'CUNY City College', 'CityName': 'NEW YORK', 'ZipCode': '100319101', 'PhoneNumber': '2126505418', 'StreetAddress': '160 CONVENT AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'NY13', 'ORG_UEI_NUM': 'L952KGDMSLV5', 'ORG_LGL_BUS_NAME': 'RESEARCH FOUNDATION OF THE CITY UNIVERSITY OF NEW YORK', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'CUNY City College', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100319101', 'StreetAddress': '160 CONVENT AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'NY13'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429285.xml'}
|
Collaborative Research: Characterizing Northern Hemisphere Atmospheric Variability from Central American Wind Gap-Induced Upwelling
|
NSF
|
02/01/2024
|
06/30/2026
| 490,996 | 441,804 |
{'Value': 'Standard Grant'}
|
{'Code': '06020000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
|
{'SignBlockName': 'David Verardo', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924695'}
|
There are three locations along the Central American Sierra Madre mountains that are low enough to allow winds to pass from the Atlantic to the Pacific Ocean. The northernmost of these wind gaps is the ‘Tehuantepec Gap’ (along the southwest coast of Mexico). These locally known winds (here simply Tehuantepec Gap Winds) drive intense upwelling of cool, nutrient-rich water in the Gulf primarily in the winter when high atmospheric pressures over North America establish a pressure gradient across the Isthmus of Tehuantepec. Despite the potential importance of the Tehuantepec Gap Winds as an Atlantic-Pacific teleconnection, there has been no attempt to predict the response of these winds to changes in regional climate dynamics in the context of rapid and global climate change. The researchers suggest to combine past climate records of upwelling (from sedimentary radiocarbon over the last 30.000 years) and model simulations to characterize atmospheric dynamical processes over the North Atlantic, and to examine both the sensitivity of these winds to ‘upstream’ factors as well as the ‘downstream’ implications of this inter-basin coupling. A novel Atlantic-Pacific Ocean-atmosphere feedback mechanism is suggesting in the methodological framework and hypothesis testing of this project in which the Tehuantepec Gap Winds and atmospheric Rossby waves play a central role. This collaborative project will support two early career scientists, and the education and scientific training of undergraduate students at UC Irvine (both a Hispanic Serving Institution and Native American Pacific Islander-Serving Institution). The researchers will continue engagement in their institution’ broadening participation efforts, including ATOC REU in Atmospheric, Oceanic, and Cryospheric Sciences (NSF 2150262), a program that primarily recruits from Hispanic Serving Institutions to introduce students to data science and geoscience research. Additionally, a lesson plan focused on long-term variations in Earth’s climate will be developed as part of this project and piloted through Environmental Climate Change and Literacy Projects in California’s outreach programs and posted in an openly available national online repository for climate pedagogy (called “Subject to Climate”).<br/><br/>The Gulf of Tehuantepec is an ideal location to characterize ‘upstream’ atmospheric processes linking the Pacific and Atlantic sectors because a prominent gap in the Sierra Madre mountains forces low-level winds to flow through the Isthmus of Tehuantepec toward the Pacific, driving local upwelling of deeper, lower radiocarbon waters to the surface. A preliminary model results and sediment core measurements leverage this wind-to-radiocarbon relationship to provide a precious constraint on Northern Hemisphere atmospheric dynamics over the past 23,000-years. Previous studies of contemporary climate variability and preliminary examinations of models and observational products indicate that higher atmospheric pressure over North America is associated with high near-surface pressure in the Gulf of Mexico, leading to stronger Tehuantepec winds. The project suggested here—including new sediment proxy measurements, model (Paleoclimate GCM) and data product examinations, and forward modeling—aims to discover the driving mechanisms behind the variability in Tehuantepec gap wind strength over paleoclimate timescales, which will provide a crucial new constraint on glacial-interglacial atmospheric dynamics in addition to controls on tropical Pacific Sea Surface Temperature and inter-basin moisture fluxes.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
04/29/2024
|
04/29/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2429287
|
{'FirstName': 'Patrick', 'LastName': 'Rafter', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Patrick A Rafter', 'EmailAddress': '[email protected]', 'NSF_ID': '000625525', 'StartDate': '04/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of South Florida', 'CityName': 'TAMPA', 'ZipCode': '336205800', 'PhoneNumber': '8139742897', 'StreetAddress': '4202 E FOWLER AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'FL15', 'ORG_UEI_NUM': 'NKAZLXLL7Z91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SOUTH FLORIDA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of South Florida', 'CityName': 'TAMPA', 'StateCode': 'FL', 'ZipCode': '336205800', 'StreetAddress': '4202 E FOWLER AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'FL15'}
|
[{'Code': '153000', 'Text': 'Paleoclimate'}, {'Code': '225Y00', 'Text': 'P4CLIMATE'}]
|
['2023~412621', '2024~29183']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429287.xml'}
|
Conference: Multidisciplinary Science in the Multimessenger Era
|
NSF
|
09/01/2024
|
08/31/2025
| 42,283 | 42,283 |
{'Value': 'Standard Grant'}
|
{'Code': '03020000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'AST', 'LongName': 'Division Of Astronomical Sciences'}}
|
{'SignBlockName': 'Hans Krimm', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922761'}
|
Louisiana State University will organize and host a conference entitled “Multidisciplinary Science in the Multimessenger Era,” September 23-26, 2024. The conference will focus on the multidisciplinary aspect of multi-messenger astrophysics, being the study of the universe by combining information from light, gravity, neutrinos, cosmic rays, meteorites, and ocean sediments. This is one of the key focus areas of the Astro2020 Decadal, “Pathways to Discovery in Astronomy and Astrophysics for the 2020s.” A goal of the workshop is to bring together interested subject matter experts who operate within and between the fields of Astrophysics, Gravitational Physics, Nuclear Science, Plasma Physics, Fluid Dynamics, Computational Physics, Particle Physics, and Atomic, Molecular, and Optical Science in order to understand how to maximize the scientific return of major and minor facilities, with a focus on those supported by the United States. Even within astrophysics itself, greater integration of theory and data analysis is required for progress. This meeting will deliver a white paper as well as recommendations for joint sessions at the Spring 2025 meeting of the American Physics Society. The portion of the workshop costs funded by the NSF will be used to reduce financial barriers to participation for scientists who may not otherwise be able to attend.<br/><br/>Bringing together an interdisciplinary group of scientists will help ensure the greatest scientific return of major NSF-supported facilities including the Vera Rubin Observatory, LIGO, IceCube, and other facilities across the electromagnetic spectrum including the proposed ngVLA. The conference is organized with several guiding sets of questions in mind: 1. What are the most important multidisciplinary questions of interest for time-domain and multi-messenger astrophysics? 2. What are the key measurements? How can we leverage current and forthcoming facilities? Do we need new ones? For astrophysical observations, are additional coordination recommendations needed? 3. What advances are relevant for other fields of physics and national strategic priorities? 4. How can multidisciplinary research be fostered? Research in this area is a priority in multiple scientific disciplines, and it is important to ensure that the scientific community draws on the broadest set of individuals to solve these exceptionally difficult problems. The scientific organizing committee is comprised of a diverse set of scientists by gender, cultural background, scientific background, and geographic region. The organizers will target funding to support participation by scientists from underrepresented backgrounds, minority serving institutions, and early career researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/23/2024
|
08/23/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429322
|
{'FirstName': 'Eric', 'LastName': 'Burns', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eric Burns', 'EmailAddress': '[email protected]', 'NSF_ID': '000887126', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Louisiana State University', 'CityName': 'BATON ROUGE', 'ZipCode': '708030001', 'PhoneNumber': '2255782760', 'StreetAddress': '202 HIMES HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Louisiana', 'StateCode': 'LA', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'LA06', 'ORG_UEI_NUM': 'ECQEYCHRNKJ4', 'ORG_LGL_BUS_NAME': 'LOUISIANA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Louisiana State University', 'CityName': 'BATON ROUGE', 'StateCode': 'LA', 'ZipCode': '708030001', 'StreetAddress': '202 HIMES HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Louisiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'LA06'}
|
{'Code': '107Y00', 'Text': 'WoU-Windows on the Universe: T'}
|
2024~42283
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429322.xml'}
|
Collaborative Research: Reconstructing the geometry of magmatic plumbing systems using fluid inclusions
|
NSF
|
10/01/2023
|
11/30/2025
| 179,409 | 169,950 |
{'Value': 'Standard Grant'}
|
{'Code': '06030000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'EAR', 'LongName': 'Division Of Earth Sciences'}}
|
{'SignBlockName': 'Jennifer Wade', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924739'}
|
Constraining the depth at which magma feeding volcanic eruptions is stored in the crust is critical both for volcano monitoring agencies to interpret unrest signals during volcanic crises, and for our understanding of the formation of energy-critical metal deposits and the evolution of the Earth’s crust. However, popular techniques using earthquakes and ground deformation to obtain storage depths cannot be used at many potentially hazardous volcanoes which show little activity at present, or have limited monitoring networks. More widely applicable methods which measure the chemistry of erupted crystals are associated with large uncertainty. This team will investigate a powerful but under-used approach in volcanology, by measuring the densities of pockets of gas-rich fluids trapped within growing crystals, known as fluid inclusions (FI). This method has the potential to be significantly more precise and accurate, placing very tight constraints on where magma is stored in the crust. After investigating the strengths and weaknesses of depths from FIs using eruptions from Hawai’i and Canary Islands as a case study (where storage depths have been determined by other methods), magma storage depths will be investigated in a series of explosive eruptions that occurred several centuries ago at both locations where future eruptions of this type present a significant hazard. A rapid response simulation will be carried out in collaboration with Hawaiian Volcano Observatory (HVO) to determine just how quickly estimates of magma storage depths can be obtained during the next large eruptive crisis, and how this information can be used to inform decision making to mitigate societal risk. This proposal will foster close collaborations between three PIs with complimentary scientific expertise at different career levels, and support several students and a postdoc in a multi-tiered mentoring structure spanning three institutions. The team will develop and distribute synthetic and natural fluid inclusions to be used as calibration standards, and a workshop will promote collaboration and synergy between different research groups using Raman spectroscopy.<br/><br/>This award will capitalize on recent advances in the spectral and spatial resolution of confocal Raman spectroscopy, allowing highly precise and accurate measurements of the densities of CO2-rich fluids trapped within fluid inclusions down to ~ 1 µm in size. The simple physical relationship between the density and pressure of a CO2-rich fluid means that distributions of FI densities can be converted into magma storage pressures with very small errors (~5-10%), and then magma storage depths using known crustal density profiles. First, detailed comparisons of depths obtained from FIs will be compared to published work investigating melt inclusion saturation pressures in samples from Kīlauea Volcano, Hawai’i, and Timanfaya, Canary Islands. This will permit assessment of sources of uncertainty affecting FI barometry such as decrepitation (when the inclusion explodes) using high-resolution electron backscatter diffraction (HR-EBSD), and the presence of additional volatile species (e.g., S, Cl, H) using synthetic FIs equilibrated with different fluid compositions. After determining the strengths and weaknesses of fluid inclusion barometry, new constraints will be placed on changes in magmatic plumbing during explosive to effusive transitions at Kīlauea Volcano (a significant societal hazard), evolution from shield to post-shield in the Galápagos, and from unknown samples during an eruption simulation in collaboration with HVO. Synthetic FIs with different concentrations of CO2 will be synthesized and characterized with an experimentally calibrated Raman system to distribute to laboratories around the world to use as standard reference materials for calibration of Raman Spectrometers. This will eliminate systematic offsets between densities determined in different laboratories.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/06/2024
|
05/06/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2429323
|
{'FirstName': 'Hector', 'LastName': 'Lamadrid', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hector M Lamadrid', 'EmailAddress': '[email protected]', 'NSF_ID': '000796532', 'StartDate': '05/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Oklahoma Norman Campus', 'CityName': 'NORMAN', 'ZipCode': '730193003', 'PhoneNumber': '4053254757', 'StreetAddress': '660 PARRINGTON OVAL RM 301', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oklahoma', 'StateCode': 'OK', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'OK04', 'ORG_UEI_NUM': 'EVTSTTLCEWS5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF OKLAHOMA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Oklahoma Norman Campus', 'CityName': 'NORMAN', 'StateCode': 'OK', 'ZipCode': '730193003', 'StreetAddress': '660 PARRINGTON OVAL RM 301', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oklahoma', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'OK04'}
|
{'Code': '157300', 'Text': 'Petrology and Geochemistry'}
|
2022~169950
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429323.xml'}
|
Energetic Variational Inference: Foundations, Algorithms, and Applications
|
NSF
|
05/15/2024
|
06/30/2025
| 300,000 | 267,816 |
{'Value': 'Continuing Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Yong Zeng', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927299'}
|
Variational Inference is a powerful tool used to boost efficiency and flexibility in machine learning and artificial intelligence algorithms, particularly those based on large amounts of data. In this project, the investigators plan to create a unified and systematic framework for variational inference methods, making two key contributions. First, the investigators will establish the theoretical foundations for the proposed framework, which will support and justify using existing and new variational inference algorithms in machine learning applications. Second, the investigators will provide a systemic procedure to create new variational inference algorithms and apply them to emerging machine learning problems. In addition to these new scientific developments, the investigators will create new courses and workshops on machine learning, recruit both undergraduate and graduate students for summer, project-based research programs, and provide mentorship to local high school students through hands-on machine learning training programs. Collaborations are planned with industrial data science partners to apply these new algorithms in practice and to train the workforce with the start-of-the-art machine learning tools.<br/><br/>The proposed "Energetic Variational Inference" framework is based on an energetic variational approach, which has been successfully used to study complicated non-equilibrium systems in physics and biology. The investigators will provide a blueprint for generating new algorithms by introducing various options for the four essential components of the proposed framework: the divergence functional, the dissipation functional, the representation of the probability density, and the temporal discretization. The investigators will study convergence in the continuous formulation as well as estimate the error bounds after temporal discretization of the underlying continuous dynamic system. More importantly, these theoretical results can be applied or extended to other flow-based variational inference approaches. These methods will be applied to problems in supervised learning, density estimation, and generative learning. Additional novel applications in machine learning, statistics, and statistical physics will also be developed. The algorithms will be packaged into open-source software for public use.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/17/2024
|
07/22/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429324
|
{'FirstName': 'Lulu', 'LastName': 'Kang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lulu Kang', 'EmailAddress': '[email protected]', 'NSF_ID': '000582245', 'StartDate': '05/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Massachusetts Amherst', 'CityName': 'AMHERST', 'ZipCode': '010039252', 'PhoneNumber': '4135450698', 'StreetAddress': '101 COMMONWEALTH AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'MA02', 'ORG_UEI_NUM': 'VGJHK59NMPK9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MASSACHUSETTS', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Massachusetts Amherst', 'CityName': 'AMHERST', 'StateCode': 'MA', 'ZipCode': '010039252', 'StreetAddress': 'COMMONWEALTH AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'MA02'}
|
[{'Code': '171200', 'Text': 'DMR SHORT TERM SUPPORT'}, {'Code': '806900', 'Text': 'CDS&E-MSS'}]
|
['2022~112949', '2023~59998', '2024~94869']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429324.xml'}
|
Collaborative Research Data Afterlives: The long-term impact of NSF Data Management Plans on data archiving and sharing for increased access
|
NSF
|
02/15/2024
|
07/31/2025
| 174,054 | 29,989 |
{'Value': 'Standard Grant'}
|
{'Code': '04050000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}
|
{'SignBlockName': 'Christine Leuenberger', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927563'}
|
In 2011, the National Science Foundation began requiring that all funded projects provide data management plans (DMPs) to ensure that project data, computer codes, and methodological procedures were available to other scientists for future use. However, the extent to which these data management requirements have resulted in more and better use of project data remains an open question. This project thus investigates the National Science Foundation’s DMP mandate as a national science policy and examines the broad impacts of this policy across a strategic sample of five disciplines funded by the National Science Foundation. It considers the organization and structure of DMPs across fields, the institutions involved in data sharing, data preservation practices, the extent to which DMPs enable others to use secondary project data, and the kinds of data governance and preservation practices that ensure that data are sustained and accessible. Systematic investigation of the impact of DMPs and data sharing cultures across fields will assist funding agencies and research scientists working to produce reproducible and open science by identifying barriers to data archiving, sharing, and access. The principal investigators will use project findings to develop data governance guidelines for information professionals working with scientific data and to articulate best practices for scientific communities using DMPs for data management. <br/><br/>This project aims to enhance understanding of the role data management plans (DMPs) play in shaping data lifecycles. It does so by examining DMPs across five fields funded by the National Science Foundation to understand data practices, archiving and access issues, the infrastructures that support data sharing and reuse, and the extent to which project data are later used by other researchers. In phase I, the investigators will gather a strategic sample of DMPs representing a wide range of data types and data retention practices from different scientific fields. Phase II consists of forensic data analysis of a subset of DMPs to discover what has become of project data. Phase III develops detailed case studies of research project data lifecycles and data afterlives with qualitative interviews and archival documentary analysis to help develop best practices for sustainable data preservation, access, and sharing. Phase IV will translate findings into data governance recommendations for stakeholders. The project thus contributes to research about contemporary studies of scientific data production and circulation while assessing the effect of DMPs as a national science policy initiative affecting data management practices in different scientific communities. The comparative research design and mixed methods enables theory building about cross-disciplinary data practices and data cultures across fields and advances knowledge within data studies, information management studies, and science and technology studies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/20/2024
|
06/20/2024
|
None
|
Grant
|
47.075
|
1
|
4900
|
4900
|
2429325
|
{'FirstName': 'Megan', 'LastName': 'Finn', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Megan Finn', 'EmailAddress': '[email protected]', 'NSF_ID': '000509152', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'American University', 'CityName': 'WASHINGTON', 'ZipCode': '200168002', 'PhoneNumber': '2028853440', 'StreetAddress': '4400 MASSACHUSETTS AVE NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'H4VNDUN2VWU5', 'ORG_LGL_BUS_NAME': 'AMERICAN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'American University', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200168002', 'StreetAddress': '4400 MASSACHUSETTS AVE NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}
|
{'Code': '124Y00', 'Text': 'Science & Technology Studies'}
|
2020~29989
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429325.xml'}
|
IGE Track 1: Place-Based Experiential Learning to Support Interdisciplinary STEM Graduate Degrees
|
NSF
|
10/01/2024
|
09/30/2027
| 496,914 | 496,914 |
{'Value': 'Standard Grant'}
|
{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}
|
{'SignBlockName': 'Liz Webber', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924316'}
|
Preparing innovative and capable problem-solvers who understand the complexities of environmental challenges will greatly benefit our economic and environmental future. Many students envision themselves working in environmental careers without direct knowledge of what positions are available or what skills might be needed for those careers. Many land management positions have openings for skilled practitioners but difficulty staffing rural or remote offices. This project provides an innovative solution by matching these populations through a place-based experiential learning internship co-developed with community partners and led by the student themself. This National Science Foundation Innovations of Graduate Education (IGE) award to Boise State University will study the effectiveness of place-based education as a way to confront the challenges in contemporary environmental management. The goal of this program is to ultimately lead to a transformation in how environmental managers understand the communities they serve and how rural students find new pathways to rewarding careers.<br/><br/>This project expands the knowledge of effective place-based instructional practices for preparing graduate students for Science, Technology, Engineering, and Math (STEM) careers related to environmental management, with potential application to non-environmental fields. The project will develop, implement, examine, and disseminate insights into place-based experiential learning curriculum gained by studying graduates from the Master of Environmental Management degree program at Boise State University. Through a mixed methods study including student journaling, online surveys, student records, and iterative qualitative data collection, this project will study the role of place-based field experiences in enhancing the persistence, satisfaction, and placement of graduate students in interdisciplinary STEM graduate degree programs and subsequent public lands and environmental management careers. Beyond demonstrating the value of place in STEM education, the value of experiential learning in career readiness, and the value of student agency in graduate education, this project addresses the need for deep interdisciplinary training to confront the increasingly complex environmental challenges of our time. This project meets the societal need for increased adaptive capacity in shared environments by providing critical interdisciplinary training that is, in part, co-developed with land managers and thus aligned with contemporary and changing needs while also providing the collaborative skillset that is increasingly recommended for effective management. <br/><br/>The Innovations in Graduate Education (IGE) program is focused on research in graduate education. The goals of IGE are to pilot, test and validate innovative approaches to graduate education and to generate the knowledge required to move these approaches into the broader community.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/05/2024
|
08/05/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2429326
|
[{'FirstName': 'Emily', 'LastName': 'Wakild', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Emily Wakild', 'EmailAddress': '[email protected]', 'NSF_ID': '000584129', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Monica', 'LastName': 'Hubbard', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Monica Hubbard', 'EmailAddress': '[email protected]', 'NSF_ID': '000664619', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Megan', 'LastName': 'Cattau', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Megan E Cattau', 'EmailAddress': '[email protected]', 'NSF_ID': '000734032', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Carl', 'LastName': 'Siebert', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Carl Siebert', 'EmailAddress': '[email protected]', 'NSF_ID': '000815260', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Jared', 'LastName': 'Talley', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jared L Talley', 'EmailAddress': '[email protected]', 'NSF_ID': '000915146', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Boise State University', 'CityName': 'BOISE', 'ZipCode': '837250001', 'PhoneNumber': '2084261574', 'StreetAddress': '1910 UNIVERSITY DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Idaho', 'StateCode': 'ID', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'ID02', 'ORG_UEI_NUM': 'HYWTVM5HNFM3', 'ORG_LGL_BUS_NAME': 'BOISE STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'HYWTVM5HNFM3'}
|
{'Name': 'Boise State University', 'CityName': 'BOISE', 'StateCode': 'ID', 'ZipCode': '837250001', 'StreetAddress': '1910 UNIVERSITY DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Idaho', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'ID02'}
|
{'Code': '260Y00', 'Text': 'Innovations in Grad Education'}
|
2024~496914
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429326.xml'}
|
Collaborative Research: Stanford-Florida program in Support of LIGO on Coatings and Core Optics
|
NSF
|
05/01/2024
|
03/31/2025
| 240,000 | 23,103 |
{'Value': 'Continuing Grant'}
|
{'Code': '03010000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'PHY', 'LongName': 'Division Of Physics'}}
|
{'SignBlockName': 'Pedro Marronetti', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927372'}
|
This award supports research in relativity and relativistic astrophysics and it addresses the priority areas of NSF's "Windows on the Universe" Big Idea. The detection of gravitational waves from coalescing black holes in 2015 launched the field of gravitational wave astronomy. Gravitational-wave detectors with a two-fold increase in sensitivity over Advanced LIGO would yield an order of magnitude increase in detection rate for black hole coalescences, and enable detection of fainter objects like binary neutron stars, greatly increasing their value for multi-messenger astronomy. All future detector upgrades and concepts rely on the development of new mirror coating materials to reduce thermal noise, which is the core research focus this collaborative project between Martin Fejer's group at Stanford University and Hai-Ping Cheng's group at the University of Florida. Reducing this noise source requires reducing the mechanical loss in the mirror coatings on the test masses. The goal of this project is to develop mirror coatings consistent with the mechanical and optical requirements for implementation in future generations of LIGO. Meeting this goal for room temperature detectors requires a solution of a longstanding problem in the physics of amorphous materials: understanding the nature of and finding means to reduce the low-energy excitations in amorphous metal oxides. On a longer time-scale, the proposed 3G detectors' cryogenic operation broadens the possible choice of low-noise mirror materials to include amorphous or crystalline semiconductors.<br/><br/>The mid-band sensitivity of the Advanced LIGO detectors is limited by thermal noise resulting from mechanical loss in the mirror coatings, and future upgrades including Advanced LIGO Plus will seek to reduce this source of noise by a factor of two or more. The Stanford-Florida partnership, alongside collaborators in the LSC Center for Coatings Research (CCR), has identified different structural motifs associated with room-temperature vs cryogenic mechanical losses, which led to synthesis of germania (GeO2) films, giving rise to the lowest-loss amorphous oxide film other than silica. Going forward, this structural guide, based on electron and x-ray scattering atomic structure data, will serve as a paradigm informing the development of high-refractive-index amorphous coatings with lower elastic loss. Atomic modeling of coating elastic loss combined with simulations of the coating deposition process will provide guidance for the selection of candidate materials, assist in interpretation of experimental structure data, and will ultimately assist in the design of synthesis experiments. Another long-standing effort at Stanford has been measurements of the absorption of low-optical-loss materials at the sub-ppm/cm level, dating back to the down select between silica and sapphire for initial LIGO test masses. The groups will continue to use the interferometric tool developed for those studies to characterize cryogenic losses in single-crystal silicon samples to evaluate their suitability for implementation in the Voyager technology demonstrator and future cryogenic detectors.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
04/25/2024
|
04/25/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429331
|
{'FirstName': 'Hai-Ping', 'LastName': 'Cheng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hai-Ping Cheng', 'EmailAddress': '[email protected]', 'NSF_ID': '000307254', 'StartDate': '04/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'ZipCode': '021155005', 'PhoneNumber': '6173733004', 'StreetAddress': '360 HUNTINGTON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'HLTMVS2JZBS6', 'ORG_LGL_BUS_NAME': 'NORTHEASTERN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '021155005', 'StreetAddress': '360 HUNTINGTON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}
|
{'Code': '125200', 'Text': 'LIGO RESEARCH SUPPORT'}
|
2023~23103
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429331.xml'}
|
Collaborative Research: ReDDDoT Phase 2: Inclusive American language technologies
|
NSF
|
10/01/2024
|
09/30/2027
| 1,051,622 | 1,051,622 |
{'Value': 'Standard Grant'}
|
{'Code': '15020000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'ITE', 'LongName': 'Innovation and Technology Ecosystems'}}
|
{'SignBlockName': 'Danielle F. Sumy', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924217'}
|
More than 350 languages and many additional variants and dialects are spoken in the United States and yet, voice technology recognizes only a handful. This research will create crucial training datasets, predominantly optimized for speech recognition (speech-to-text), for three underrepresented, American sociolinguistic contexts — a sociolect, a code-switching language context, and an Indigenous language. The methodology for co-creating these datasets with communities prioritizes building the agency, skills, and knowledge required for people to use and apply their dataset to serve their own social and economic context. Inclusive speech-to-text technology that recognizes more American language dialects means that more Americans can access critical information across citizen services, finance, education, health, and justice.<br/><br/>The project iterates a community-mobilizing, inherently capacity-building, applied methodology for creating crucial machine-learning datasets, predominantly optimized for speech recognition (speech-to-text). The data creation process (text and audio) for these datasets will be run, hosted, and released through an open-source platform and infrastructure to ensure public accessibility. Communities will co-create the datasets from design phase to quality assurance, with space to shape the governance framework, diversity criteria, and domain representation. This program will: (1) bridge critical gaps for innovative technological research on under-represented languages and variants; (2) evolve understanding of culturally-conscious, consent-centric modes of community participation in the building of artificial intelligence (AI); and (3) accelerate first-language language technology tooling in key economic domains such as health, education, justice, and agriculture, thereby accelerating pathways to societal and economic benefits. The project will also advance skills development in machine learning by actively involving individuals who speak these underrepresented language variants in the data collection process. The project methodology is applied pedagogy, through teaching communities about AI training datasets by involving them in their design and build. This skill-building approach can lead to improved community representation within STEM professions, as well as immediately mitigating dataset biases and potential harms.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/21/2024
|
08/21/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2429337
|
{'FirstName': 'Ella Mae', 'LastName': 'Lewis-Jong', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ella Mae C Lewis-Jong', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A02LV', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Mozilla Foundation', 'CityName': 'SAN FRANCISCO', 'ZipCode': '941053740', 'PhoneNumber': '6509030800', 'StreetAddress': '149 NEW MONTGOMERY ST FL 4', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'CA11', 'ORG_UEI_NUM': 'NKMBPAQ23N69', 'ORG_LGL_BUS_NAME': 'MOZILLA FOUNDATION', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Mozilla Foundation', 'CityName': 'SAN FRANCISCO', 'StateCode': 'CA', 'ZipCode': '941053740', 'StreetAddress': '149 NEW MONTGOMERY ST FL 4', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'CA11'}
|
{'Code': '293Y00', 'Text': 'ReDDDoT-Resp Des Dev & Dp Tech'}
|
2024~1051622
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429337.xml'}
|
Collaborative Research: ReDDDoT Phase 2: Inclusive American language technologies
|
NSF
|
10/01/2024
|
09/30/2027
| 448,129 | 448,129 |
{'Value': 'Standard Grant'}
|
{'Code': '15020000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'ITE', 'LongName': 'Innovation and Technology Ecosystems'}}
|
{'SignBlockName': 'Danielle F. Sumy', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924217'}
|
More than 350 languages and many additional variants and dialects are spoken in the United States and yet, voice technology recognizes only a handful. This research will create crucial training datasets, predominantly optimized for speech recognition (speech-to-text), for three underrepresented, American sociolinguistic contexts — a sociolect, a code-switching language context, and an Indigenous language. The methodology for co-creating these datasets with communities prioritizes building the agency, skills, and knowledge required for people to use and apply their dataset to serve their own social and economic context. Inclusive speech-to-text technology that recognizes more American language dialects means that more Americans can access critical information across citizen services, finance, education, health, and justice.<br/><br/>The project iterates a community-mobilizing, inherently capacity-building, applied methodology for creating crucial machine-learning datasets, predominantly optimized for speech recognition (speech-to-text). The data creation process (text and audio) for these datasets will be run, hosted, and released through an open-source platform and infrastructure to ensure public accessibility. Communities will co-create the datasets from design phase to quality assurance, with space to shape the governance framework, diversity criteria, and domain representation. This program will: (1) bridge critical gaps for innovative technological research on under-represented languages and variants; (2) evolve understanding of culturally-conscious, consent-centric modes of community participation in the building of artificial intelligence (AI); and (3) accelerate first-language language technology tooling in key economic domains such as health, education, justice, and agriculture, thereby accelerating pathways to societal and economic benefits. The project will also advance skills development in machine learning by actively involving individuals who speak these underrepresented language variants in the data collection process. The project methodology is applied pedagogy, through teaching communities about AI training datasets by involving them in their design and build. This skill-building approach can lead to improved community representation within STEM professions, as well as immediately mitigating dataset biases and potential harms.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/21/2024
|
08/21/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2429338
|
{'FirstName': 'Francis', 'LastName': 'Tyers', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Francis M Tyers', 'EmailAddress': '[email protected]', 'NSF_ID': '000809662', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Indiana University', 'CityName': 'BLOOMINGTON', 'ZipCode': '474057000', 'PhoneNumber': '3172783473', 'StreetAddress': '107 S INDIANA AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'IN09', 'ORG_UEI_NUM': 'YH86RTW2YVJ4', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF INDIANA UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Indiana University', 'CityName': 'BLOOMINGTON', 'StateCode': 'IN', 'ZipCode': '474057000', 'StreetAddress': 'BALLANTINE HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'IN09'}
|
{'Code': '293Y00', 'Text': 'ReDDDoT-Resp Des Dev & Dp Tech'}
|
2024~448129
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429338.xml'}
|
Collaborative Research: LSC Center for Coatings Research
|
NSF
|
05/01/2024
|
05/31/2025
| 529,789 | 247,157 |
{'Value': 'Standard Grant'}
|
{'Code': '03010000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'PHY', 'LongName': 'Division Of Physics'}}
|
{'SignBlockName': 'Pedro Marronetti', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927372'}
|
The detections of gravitational waves from coalescing black holes in 2015 launched the field of gravitational wave astronomy. The NSF-funded “A+” upgrade to Advanced LIGO is designed to achieve an order of magnitude increase in detection rate for black hole coalescences, and enable detection of fainter objects like binary neutron stars, greatly increasing their value for multi-messenger astronomy. The A+ upgrade and all 3rd generation detector designs depend on the development of mirrors with low coating thermal noise. The coating thermal noise is reduced, primarily, by lowering the mechanical (elastic) loss of the mirror materials. The core research focus of the LIGO Scientific Collaboration (LSC) Center for Coatings Research (CCR) is the development of mirror coatings with low mechanical and optical losses for use in A+ and 3rd generation detectors. The research mission of the CCR includes: understanding and reducing mechanical loss in amorphous metal-oxides, the most widely-used materials in mirror coatings; and developing and testing crystalline (AlGaAs) coatings, which have demonstrated low losses for small mirrors. On a longer time-scale, the CCR is developing mirrors compatible with the proposed 3G detectors’ cryogenic operation. <br/><br/>The residual noise visible in the time-domain gravitational waveforms of black hole mergers first recorded by Advanced LIGO is mostly due to quantum noise of the light and thermal noise due to the mirror coatings. Since that first discovery much progress has been made in reducing quantum noise and the coupling from seismic, scatter and jitter noise, leaving coating thermal noise as the dominant barrier limiting gravitational-wave astronomy in the most sensitive observation band. Reducing this noise source for future generations of detectors requires reducing the mechanical dissipation in the mirror coatings on the test masses, and forms the main goal of the CCR. The CCR combines groups working on computational modeling, coating deposition, and characterization of atomic structure and macroscopic material properties. These components are often performed by four diverse communities that work in relative isolation from each other. The strength of the CCR and its promise of accelerating discoveries arises from close integration of these communities focused on a unified research goal. In its first two years of operation, research in the CCR has identified different structural motifs associated with room-temperature vs cryogenic mechanical losses, which led to synthesis of germania (GeO2) films giving rise to the lowest-loss amorphous oxide film other than silica. Going forward, this structural guide will serve as a paradigm informing the development of high-refractive index amorphous coatings with lower elastic loss. In addition, thermo-optically-optimized AlGaAs crystalline coatings have demonstrated a coating thermal noise well below the requirements for A+, and the CCR has generated a development schedule to scale up these coatings to LIGO mirror sizes and will continue investigations into these materials. Other research paths include: exploring deposition techniques to produce “ultrastable glasses” using amorphous metal-oxides; and stabilizing amorphous coatings against crystallization in order to allow elastic loss reduction via high temperature annealing either with nano-layering or with different doping materials.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
04/25/2024
|
04/25/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2429369
|
{'FirstName': 'Hai-Ping', 'LastName': 'Cheng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hai-Ping Cheng', 'EmailAddress': '[email protected]', 'NSF_ID': '000307254', 'StartDate': '04/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'ZipCode': '021155005', 'PhoneNumber': '6173733004', 'StreetAddress': '360 HUNTINGTON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'HLTMVS2JZBS6', 'ORG_LGL_BUS_NAME': 'NORTHEASTERN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '021155005', 'StreetAddress': '360 HUNTINGTON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}
|
[{'Code': '107Y00', 'Text': 'WoU-Windows on the Universe: T'}, {'Code': '125200', 'Text': 'LIGO RESEARCH SUPPORT'}]
|
2020~247157
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429369.xml'}
|
IGE Track 2: Graduate Communities for Academic Fellowship & Efficacy (Grad CAFE): A Holistic Multi-tiered Mentoring Model
|
NSF
|
10/01/2024
|
09/30/2029
| 1,000,000 | 1,000,000 |
{'Value': 'Standard Grant'}
|
{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}
|
{'SignBlockName': 'Daniel Denecke', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928072'}
|
This National Science Foundation Innovations in Graduate Education (IGE) Track 2 award to the University of Arizona will help to increase the success of students from diverse backgrounds in STEM through the creation, expansion, and assessment of the Graduate Communities for Academic Fellowship and Efficacy (Grad CAFE) program. The University of Arizona (UArizona) is a Research 1 (R1) doctoral degree-granting university, a Hispanic Serving Institution (HSI) and a public-land grant university with a goal to increase recruitment, retention, and completion among underrepresented doctoral students in STEM. Grad CAFE is a strengths-based, holistic, intersectional, interdisciplinary multi-tiered mentoring community that has the potential to transform how support underrepresented graduate scholars in STEM and beyond are supported by directly addressing three key issues: 1) decreased mental health and well-being among graduate students, 2) the local and national lack of diversity in STEM programs, and 3) gaps in retention and completion for underrepresented graduate students. Grad CAFE is different from other mentoring programs in several ways. Unlike most mentoring programs, Grad CAFE moves beyond traditional one-to-one mentoring to create a peer mentoring community within a multi-tiered mentoring program. Additionally, Grad CAFE provides more than specific discipline- or identity-focused mentoring to create an inclusive space for all marginalized identities to come together and build community. Finally, Grad CAFE is a multi-year program that students can join in their first or second year, complete their comprehensive exams and return as a community leader and provide near-peer mentoring for newer students while building their teaching, facilitation, curriculum, and leadership skills. Grad CAFE will provide a blueprint for creating and scaling up from a cohort of 72 students in the first year to 276 students in the fifth year without significantly increasing the time commitment for faculty and staff, providing an easily replicated model for other institutions to follow.<br/><br/>Grad CAFE seeks to identify evidence-based best practices for holistic, community-based support for supporting graduate students in STEM, particularly those from underrepresented backgrounds. The theoretical framework of Grad Cafe is based on Wai-Ling Packard’s (2016) factors impacting student persistence (capacity, interest, and belonging) using three of the four major components of HSI “servingness” (outcomes, experiences, and internal organizational dimensions) identified by Garcia et al. (2019). Grad CAFE is a multi-tiered mentoring program that spans the entire UArizona STEM ecosystem. The program consists of two co-directors, a team of community leaders (doctoral candidates who have successfully passed their comprehensive exams) and a cohort of peer mentors (first- and second-year doctoral scholars). Co-directors provide one-to-one mentoring and a trusted advisor outside of participants’ departments. Community leaders participate for one academic year and receive career development and leadership training and serve as peer mentors to each other as well as near-peer mentors to the peer mentors. Peer mentors participate for one semester and attend a one-hour a week student success seminar. All participants attend monthly small group peer mentoring community meetings and four whole-cohort Cafecito dinners per semester. Research seeks to identify through formative and summative assessments how Grad CAFE impacts underrepresented doctoral students in STEM at an R1 HSI. To measure the impact of the program the researchers will assess if participants report 1) a greater sense of capacity, 2) improved sense of self-efficacy, 3) greater sense of interest, 4) greater sense of belonging, 5) increased satisfaction, 6) higher retention rates, and 7) higher completion rates as compared to non-participants.<br/><br/>The Innovations in Graduate Education (IGE) program is focused on research in graduate education. The goals of IGE are to pilot, test and validate innovative approaches to graduate education and to generate the knowledge required to move these approaches into the broader community.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/05/2024
|
08/05/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2429370
|
[{'FirstName': 'Nicole', 'LastName': 'Marrone', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nicole Marrone', 'EmailAddress': '[email protected]', 'NSF_ID': '000728130', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Celeste', 'LastName': 'Atkins', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Celeste Atkins', 'EmailAddress': '[email protected]', 'NSF_ID': '000918509', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'University of Arizona', 'CityName': 'TUCSON', 'ZipCode': '85721', 'PhoneNumber': '5206266000', 'StreetAddress': '845 N PARK AVE RM 538', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arizona', 'StateCode': 'AZ', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'AZ07', 'ORG_UEI_NUM': 'ED44Y3W6P7B9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ARIZONA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Arizona', 'CityName': 'Tucson', 'StateCode': 'AZ', 'ZipCode': '857194506', 'StreetAddress': '1600 E. 1st St.', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AZ07'}
|
{'Code': '260Y00', 'Text': 'Innovations in Grad Education'}
|
2024~1000000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429370.xml'}
|
IGE (Track 1): Preparing STEM Graduate Students for Inclusive Leadership
|
NSF
|
10/01/2024
|
09/30/2027
| 500,000 | 500,000 |
{'Value': 'Standard Grant'}
|
{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}
|
{'SignBlockName': 'Kathleen Ehm', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032925032'}
|
Graduate students nationwide are often highly motivated to transform academic institutions to become more inclusive and to better foster the success of all students. However, graduate students may lack the knowledge and experience to understand how to effectively lead these changes, both in graduate school and at later points in their careers. In particular, science, technology, engineering, and math (STEM) students do not normally have the opportunity to formally learn these skills. This National Science Foundation Innovations of Graduate Education (IGE) award to the University of Massachusetts Amherst will test a program of inclusive leadership training aimed at providing graduate students with the skills needed to become leaders in fostering institutional change. Results will provide guidance for other institutions for how to better prepare graduate students to develop as effective leaders who emphasize participation, community, and respect across identities without sacrificing their own professional and personal goals.<br/><br/>Two cohorts of graduate student Leadership Fellows will each participate for two years. In Year 1, Fellows will learn about academic leadership through a series of interactive workshops and panel discussions. In particular, they will be introduced to the structure of colleges and universities and how change occurs at different organizational levels. At the end of this year, Fellows are predicted to (1a) demonstrate increased knowledge about inclusive leadership in higher education; and (1b) demonstrate increased confidence in their skills as agents of change across their career stages compared to pre-testing and control groups. In Year 2, Leadership Fellows will work in teams on a Leadership Project led by a mentor. Projects will have measurable outcomes for the growth of the Fellows and for the impact on the institution, as each project has been designed to provide value to UMass Amherst. Fellows will also receive individualized sessions with a professional leadership coach. At the end of Year 2, Fellows are predicted to be able to (2a) describe how the lessons learned in Year 1 impacted both their Leadership Project and their work beyond the project and to apply their knowledge to novel case studies; (2b) demonstrate improved leadership skills through both self-evaluation and assessment by others that know them; and (2c) articulate a plan to continue to create institutional change throughout their careers. An additional prediction is that (2d) the Leadership Projects will have met their goals and provided value to the University. Finally, because the program incorporates many forms of support for the Fellows, Fellows should be able to demonstrate similar or improved measures of wellbeing compared to a control group.<br/><br/>The Innovations in Graduate Education (IGE) program is focused on research in graduate education. The goals of IGE are to study, pilot, test and validate innovative approaches to graduate education and to generate the knowledge required to move these approaches into the broader community.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/05/2024
|
08/05/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2429373
|
[{'FirstName': 'Elizabeth', 'LastName': 'Jakob', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elizabeth M Jakob', 'EmailAddress': '[email protected]', 'NSF_ID': '000114902', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Jacqueline', 'LastName': 'Urla', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jacqueline Urla', 'EmailAddress': '[email protected]', 'NSF_ID': '000331936', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Sofiya', 'LastName': 'Alhassan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sofiya Alhassan', 'EmailAddress': '[email protected]', 'NSF_ID': '000927653', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University of Massachusetts Amherst', 'CityName': 'AMHERST', 'ZipCode': '010039252', 'PhoneNumber': '4135450698', 'StreetAddress': '101 COMMONWEALTH AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'MA02', 'ORG_UEI_NUM': 'VGJHK59NMPK9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MASSACHUSETTS', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Massachusetts Amherst', 'CityName': 'AMHERST', 'StateCode': 'MA', 'ZipCode': '010039252', 'StreetAddress': '101 COMMONWEALTH AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'MA02'}
|
{'Code': '260Y00', 'Text': 'Innovations in Grad Education'}
|
2024~500000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429373.xml'}
|
Collaborative Research: How small is too small? On the Minimum Swimmer Size Required to Generate Sustained Biogenic Turbulence
|
NSF
|
07/01/2024
|
06/30/2027
| 259,994 | 259,994 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Ron Joslin', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927030'}
|
In order to predict the future evolution of Earth’s climate, it is important to understand and quantify the processes that govern vertical mixing of heat and CO2 in the ocean, such as tides, internal waves and others. The degree to which the motion of small organisms such as zooplankton can contribute to this mixing is currently unknown, although several hypotheses have been forwarded that arrive at very different conclusions. The current project aims to improve the understanding of such biogenic mixing via a collaborative investigation that combines theoretical analysis with laboratory experiments and detailed computer simulations. In this way, the project results will enable more accurate predictions of future climate trends. The project will involve significant educational and outreach activities, including research by undergraduate and high school students.<br/><br/>While it has been proposed that biologically generated turbulence plays an important role in oceanic turbulence, the range of zooplankton swimmer sizes that can contribute to such mixing is currently unknown. Recent research indicates that the minimum swimmer required depends on the nature of the flow field in which the swimmer moves, so that the capability of a swimmer to produce sustainable biogenic turbulence is not an inherent and static characteristic, but rather, it is modulated by the swimmer’s orientation in relation to the local shear and the intensity of the ambient hydrodynamic shear. The objective of the proposed research is to employ both laboratory experiments and direct numerical simulations (DNS) to reveal the minimum size and the corresponding biogenic turbulence production mechanism in a space spanned by the strength of the background shear, the orientation of the swimmer with regard to this shear, and the swimmer size. On this basis, models for the incorporation of these effects into ocean simulation tools will be developed. The experiments will use a unique system that can produce accurate on-demand migrations of zooplankton via phototaxis in a background shear in a controlled laboratory setting. The computational methodology is based on a well-validated immersed boundary method approach, and it employs an established squirmer model to represent the individual organisms. The proposed research will reveal how the swimmer’s agitation produces turbulence and dissipation. It will be the first systematic experimental and numerical study of biogenic turbulence considering both swimmer and background flow. Although the research is motivated by ocean flows, the insights gained from the project will deepen our understanding of how physical perturbations affect turbulent flows in general.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/10/2024
|
07/10/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2429374
|
{'FirstName': 'Lei', 'LastName': 'Fang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lei Fang', 'EmailAddress': '[email protected]', 'NSF_ID': '000848368', 'StartDate': '07/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Pittsburgh', 'CityName': 'PITTSBURGH', 'ZipCode': '152600001', 'PhoneNumber': '4126247400', 'StreetAddress': '4200 FIFTH AVENUE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'PA12', 'ORG_UEI_NUM': 'MKAGLD59JRL1', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Pittsburgh', 'CityName': 'PITTSBURGH', 'StateCode': 'PA', 'ZipCode': '152600001', 'StreetAddress': '4200 FIFTH AVENUE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}
|
{'Code': '144300', 'Text': 'FD-Fluid Dynamics'}
|
2024~259994
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429374.xml'}
|
Collaborative Research: How small is too small? On the Minimum Swimmer Size Required to Generate Sustained Biogenic Turbulence
|
NSF
|
07/01/2024
|
06/30/2027
| 340,000 | 340,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Ron Joslin', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927030'}
|
In order to predict the future evolution of Earth’s climate, it is important to understand and quantify the processes that govern vertical mixing of heat and CO2 in the ocean, such as tides, internal waves and others. The degree to which the motion of small organisms such as zooplankton can contribute to this mixing is currently unknown, although several hypotheses have been forwarded that arrive at very different conclusions. The current project aims to improve the understanding of such biogenic mixing via a collaborative investigation that combines theoretical analysis with laboratory experiments and detailed computer simulations. In this way, the project results will enable more accurate predictions of future climate trends. The project will involve significant educational and outreach activities, including research by undergraduate and high school students.<br/><br/>While it has been proposed that biologically generated turbulence plays an important role in oceanic turbulence, the range of zooplankton swimmer sizes that can contribute to such mixing is currently unknown. Recent research indicates that the minimum swimmer required depends on the nature of the flow field in which the swimmer moves, so that the capability of a swimmer to produce sustainable biogenic turbulence is not an inherent and static characteristic, but rather, it is modulated by the swimmer’s orientation in relation to the local shear and the intensity of the ambient hydrodynamic shear. The objective of the proposed research is to employ both laboratory experiments and direct numerical simulations (DNS) to reveal the minimum size and the corresponding biogenic turbulence production mechanism in a space spanned by the strength of the background shear, the orientation of the swimmer with regard to this shear, and the swimmer size. On this basis, models for the incorporation of these effects into ocean simulation tools will be developed. The experiments will use a unique system that can produce accurate on-demand migrations of zooplankton via phototaxis in a background shear in a controlled laboratory setting. The computational methodology is based on a well-validated immersed boundary method approach, and it employs an established squirmer model to represent the individual organisms. The proposed research will reveal how the swimmer’s agitation produces turbulence and dissipation. It will be the first systematic experimental and numerical study of biogenic turbulence considering both swimmer and background flow. Although the research is motivated by ocean flows, the insights gained from the project will deepen our understanding of how physical perturbations affect turbulent flows in general.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
07/10/2024
|
07/10/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2429375
|
{'FirstName': 'Eckart', 'LastName': 'Meiburg', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eckart H Meiburg', 'EmailAddress': '[email protected]', 'NSF_ID': '000461012', 'StartDate': '07/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of California-Santa Barbara', 'CityName': 'SANTA BARBARA', 'ZipCode': '931060001', 'PhoneNumber': '8058934188', 'StreetAddress': '3227 CHEADLE HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'CA24', 'ORG_UEI_NUM': 'G9QBQDH39DF4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, SANTA BARBARA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of California-Santa Barbara', 'CityName': 'SANTA BARBARA', 'StateCode': 'CA', 'ZipCode': '931060001', 'StreetAddress': '3227 CHEADLE HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'CA24'}
|
{'Code': '144300', 'Text': 'FD-Fluid Dynamics'}
|
2024~340000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429375.xml'}
|
Collaborative Research: Travel: International Council for Exploration of the Sea: Travel Support for Academic Participants, 2024-2027
|
NSF
|
07/01/2024
|
06/30/2027
| 369,632 | 116,890 |
{'Value': 'Continuing Grant'}
|
{'Code': '06040100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}
|
{'SignBlockName': 'Kandace Binkley', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927577'}
|
The International Council for Exploration of the Sea (ICES) was founded in 1902. It is a prominent intergovernmental organization that conducts science and provides management advice on marine resources in the North Atlantic and neighboring seas. ICES is the preeminent intergovernmental organization conducting science and providing management advice on marine resources in the North Atlantic and neighboring seas. Over 3,000 scientists from over 800 institutions in its 20 member countries participate in the activities that it organizes each year. Its mission is to “advance and share scientific understanding of marine ecosystems and the services they provide and to use this knowledge to generate state- of-the-art advice for meeting conservation, management, and sustainability goals.” The United States has been a member of ICES since 1912. The US role in ICES has become more important as global concerns related to overfishing, effects of climate change, loss of biodiversity, ocean acidification, harmful algal blooms, and effects of aquaculture on ecosystems have become international in scale and requiring coordinated research programs. Their work focuses on the North Atlantic, but also includes the Arctic, Mediterranean Sea and the Black Sea. The participation of U.S. academic scientists in ICES activities will advance our ability to develop and harness new techniques and technologies for observing marine ecosystems; and advance our understanding of their structure, function, and dynamics.<br/><br/>The PIs request funds to support travel by U.S. academic scientists to allow participation in the ICES Annual Science Conference, its Working Groups and Workshops, Symposia, Theme Sessions, and Training Programs. Applications by young and established scientists will be considered to assure strong representation by the U.S. academic community in ICES activities.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/21/2024
|
06/21/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2429385
|
{'FirstName': 'Michael', 'LastName': 'Neubert', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael G Neubert', 'EmailAddress': '[email protected]', 'NSF_ID': '000112624', 'StartDate': '06/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'ZipCode': '025431535', 'PhoneNumber': '5082893542', 'StreetAddress': '266 WOODS HOLE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'MA09', 'ORG_UEI_NUM': 'GFKFBWG2TV98', 'ORG_LGL_BUS_NAME': 'WOODS HOLE OCEANOGRAPHIC INSTITUTION', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'StateCode': 'MA', 'ZipCode': '025431535', 'StreetAddress': '266 WOODS HOLE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'MA09'}
|
{'Code': '541900', 'Text': 'INTERNATIONAL SUPPORT'}
|
2024~116890
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429385.xml'}
|
Collaborative Research: Travel: International Council for Exploration of the Sea: Travel Support for Academic Participants, 2024-2027
|
NSF
|
07/01/2024
|
06/30/2027
| 84,313 | 26,745 |
{'Value': 'Continuing Grant'}
|
{'Code': '06040100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}
|
{'SignBlockName': 'Kandace Binkley', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927577'}
|
The International Council for Exploration of the Sea (ICES) was founded in 1902. It is a prominent intergovernmental organization that conducts science and provides management advice on marine resources in the North Atlantic and neighboring seas. ICES is the preeminent intergovernmental organization conducting science and providing management advice on marine resources in the North Atlantic and neighboring seas. Over 3,000 scientists from over 800 institutions in its 20 member countries participate in the activities that it organizes each year. Its mission is to “advance and share scientific understanding of marine ecosystems and the services they provide and to use this knowledge to generate state- of-the-art advice for meeting conservation, management, and sustainability goals.” The United States has been a member of ICES since 1912. The US role in ICES has become more important as global concerns related to overfishing, effects of climate change, loss of biodiversity, ocean acidification, harmful algal blooms, and effects of aquaculture on ecosystems have become international in scale and requiring coordinated research programs. Their work focuses on the North Atlantic, but also includes the Arctic, Mediterranean Sea and the Black Sea. The participation of U.S. academic scientists in ICES activities will advance our ability to develop and harness new techniques and technologies for observing marine ecosystems; and advance our understanding of their structure, function, and dynamics.<br/><br/>The PIs requests funds to support travel by U.S. academic scientists to allow participation in the ICES Annual Science Conference, its Working Groups and Workshops, Symposia, Theme Sessions, and Training Programs. Applications by young and established scientists will be considered to assure strong representation by the U.S. academic community in ICES activities.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
06/21/2024
|
06/21/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2429386
|
{'FirstName': 'David', 'LastName': 'Secor', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David H Secor', 'EmailAddress': '[email protected]', 'NSF_ID': '000388716', 'StartDate': '06/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Maryland Center for Environmental Sciences', 'CityName': 'CAMBRIDGE', 'ZipCode': '216133368', 'PhoneNumber': '4102212014', 'StreetAddress': '2020 HORNS POINT RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MD01', 'ORG_UEI_NUM': 'JHTYTGKYWLL9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND CENTER FOR ENVIRONMENTAL SCIENCE', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Maryland Center for Environmental Sciences', 'CityName': 'CAMBRIDGE', 'StateCode': 'MD', 'ZipCode': '216133368', 'StreetAddress': '2020 HORNS POINT RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MD01'}
|
{'Code': '541900', 'Text': 'INTERNATIONAL SUPPORT'}
|
2024~26745
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429386.xml'}
|
SBIR Phase I: Novel Scaffold for Nipple Areolar Regeneration
|
NSF
|
08/15/2024
|
07/31/2025
| 274,194 | 274,194 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Henry Ahn', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927069'}
|
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be the ability to regenerate the nipple areolar complex after mastectomy. Breast cancer affects 1 in 8 women and many must undergo mastectomy, which results in the loss of the breast including the nipple. Patients report not feeling whole or complete after the loss of their nipples and this can have a devastating psychological impact on quality of life. Current nipple areolar reconstructive techniques use a surgical skin flap, where skin on the reconstructed breast is cut and sutured together to recreate the appearance of a nipple, and then tattooed for desired pigmentation. After reconstruction, only 13% of patients report being totally satisfied with their nipple reconstruction, flattening being the most common reason for dissatisfaction. Instead of just recreating the appearance of a nipple, this project enables patients to regenerate the nipple areolar complex using an acellular nipple areolar graft. The broader impact of this project would be transforming the clinical standard of care, resulting in improved outcomes and quality of life for women during their cancer survivorship. Additionally, this project further advances the understanding of extracellular matrix grafts for complex soft tissue reconstruction. <br/><br/>This Small Business Innovation Research (SBIR) Phase I project will focus on investigating cellular ingrowth into the acellular nipple areolar graft through in vivo studies. The graft is created through a patented technique, in which the DNA and cellular components are removed from donor nipple areolar tissue, leaving behind an acellular extracellular matrix scaffold. The key challenges in bringing this technology to market center on demonstrating feasibility of cellular infiltration to the entirety of the graft and maintained nipple projection. The experiments proposed in this project investigate the graft cellular infiltration, biocompatibility, nipple projection, and pigmentation in vivo. The successful completion of the proposed studies in this project will facilitate advancement of this research and support studies for clinical application.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
08/14/2024
|
08/14/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2429456
|
{'FirstName': 'Shatha', 'LastName': 'Denno', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shatha D Denno', 'EmailAddress': '[email protected]', 'NSF_ID': '000877068', 'StartDate': '08/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'NOVOTHELIUM, LLC', 'CityName': 'SAN ANTONIO', 'ZipCode': '782355116', 'PhoneNumber': '2546446258', 'StreetAddress': '2509 KENNEDY CIR BLDG 125 FL 4', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '28', 'CONGRESS_DISTRICT_ORG': 'TX28', 'ORG_UEI_NUM': 'HCF3KC7C19D7', 'ORG_LGL_BUS_NAME': 'NOVOTHELIUM, LLC', 'ORG_PRNT_UEI_NUM': 'HCF3KC7C19D7'}
|
{'Name': 'NovoThelium', 'CityName': 'San Antonio', 'StateCode': 'TX', 'ZipCode': '782355116', 'StreetAddress': '2509 Kennedy Circle', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '28', 'CONGRESS_DISTRICT_PERF': 'TX28'}
|
{'Code': '537100', 'Text': 'SBIR Phase I'}
|
2024~274194
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429456.xml'}
|
I-Corps: Translation Potential of a Clinical Decision Support System
|
NSF
|
06/01/2024
|
05/31/2025
| 50,000 | 50,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Molly Wasko', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924749'}
|
The broader impact/commercial potential of this I-Corps project is the development of a clinical decision support (CDS) system that enables doctors to make better treatment decisions and employ team-based care to improve the management of patients with chronic disease. This project may also have a positive impact on patients by allowing them to better understand their care plan, adhere to their medications, and be active participants in their care. While the project currently focuses on hypertension management, the technology has the potential for management of other conditions. Overall, this project has a significant potential clinical impact, with opportunities to improve health outcomes for patients and reduce payer spending.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of an innovative, web-based, clinical decision support technology platform, built with industry standard specifications (i.e., Substitutable Medical Apps and Reusable Technology - SMART) and data connectivity and transfer via Fast Healthcare Interoperability Resources (FHIR). These features uniquely provide interoperability across various electronic health record (EHR) vendors. The core technology consists of an evidence-based hypertension treatment algorithm that is connected to the EHR via the FHIR programming interfaces. Through the extraction and processing of clinical data and patient-generated data, the system generates tailored treatment recommendations.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
|
05/28/2024
|
05/28/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2429481
|
{'FirstName': 'Valy', 'LastName': 'Fontil', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Valy Fontil', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A05NC', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'New York University Medical Center', 'CityName': 'NEW YORK', 'ZipCode': '100166402', 'PhoneNumber': '2122638822', 'StreetAddress': '550 1ST AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NY12', 'ORG_UEI_NUM': 'M5SZJ6VHUHN8', 'ORG_LGL_BUS_NAME': 'NEW YORK UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'New York University Grossman School of Medicine', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100166402', 'StreetAddress': '180 Madison Ave', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NY12'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429481.xml'}
|
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