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SBIR Phase I: Improving feedstock biogas methane yield via microwave and electromagnetic field application
|
NSF
|
09/01/2024
|
08/31/2025
| 275,000 | 275,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Rajesh Mehta', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922174'}
|
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is centered on enhancing the efficiency of anaerobic digestion for the generation of biogas from organic waste. The United States produces an estimated 70 billion tons or organic waste each year. The bulk of this waste is currently disposed in landfills, where they contribute to greenhouse gas emissions and environmental contamination. Conversely, anaerobic digestion is one of the most effective methods of organic waste management, in that it not only eliminates the environmental hazards associated with mismanaged waste (e.g., reduce greenhouse gas emissions by 10-13%), but also produces biogas, a valuable renewable energy resource that has been predicted as capable of offsetting 6-9% of the world’s primary energy consumption. This project seeks to develop, model, and validate a technology that leverages microwaves and electromagnetic fields to drive improvements in anaerobic fermentation efficiency by at least 20%. The advancements toward building renewable energy-based infrastructure and reducing organic waste support public health and welfare by contributing to climate change mitigation. <br/><br/><br/>The proposed effort is focused on developing a novel technology that enhances anaerobic digestion efficiency by pretreating organic matter with a combination of microwaves (MW)and electro-magnetic fields. Development of a modular system compatible with a wide range of feedstocks while retaining cost-efficient operation is a non-trivial R&D pursuit. The diverse spectrum of inputs with varying dry matter contents and compositions will require different models, operational parameters, and exploration of new technological avenues. Technical de-risking to deliver a core system that is customizable to application-specific needs will require development of 1) mathematical models representative of the technology’s performance against wide array of commercially relevant materials and digestate (e.g., manure, anaerobic digestate, aerobic activated sludge, food waste, and several combinations thereof) and 2) cost-effective operational approaches capable of responding dynamically to feedstock conditions. Technical challenges arise from the complexity of potential feedstocks and the interacting effects of the multi-component system, which could be applied in series, concurrently, or a combination of both, at various ranges of microwave radiation and electromagnetic field application intensities. To overcome these challenges, this project entails development, computational modeling, and testing of a modular system for pre-treatment of a range of commercially relevant organic wastes, to improve anaerobic digestion by at least 20% while maintaining cost- end energy-efficiency.<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.
|
08/22/2024
|
08/22/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2431910
|
{'FirstName': 'Efim', 'LastName': 'Monosov', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Efim Monosov', 'EmailAddress': '[email protected]', 'NSF_ID': '000881809', 'StartDate': '08/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'ELIF ENVIRONMENTAL LLC', 'CityName': 'RIVER HILLS', 'ZipCode': '532172032', 'PhoneNumber': '2627073880', 'StreetAddress': '8737 N RANGE LINE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Wisconsin', 'StateCode': 'WI', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'WI04', 'ORG_UEI_NUM': 'XR35U9AD3Z17', 'ORG_LGL_BUS_NAME': 'ELIF ENVIRONMENTAL LLC', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'ELIF ENVIRONMENTAL LLC', 'CityName': 'RIVER HILLS', 'StateCode': 'WI', 'ZipCode': '532172032', 'StreetAddress': '8737 N RANGE LINE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Wisconsin', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'WI04'}
|
{'Code': '537100', 'Text': 'SBIR Phase I'}
|
2024~275000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431910.xml'}
|
Conference: Thought Summit on the Future of Survey Science
|
NSF
|
08/01/2024
|
07/31/2025
| 39,870 | 39,870 |
{'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'}
|
Surveys provide fundamental data about the social and economic conditions of communities around the world. In the U.S., the National Science Foundation funds a number of important social science surveys that produce data relevant to nearly every aspect of American life. The goal of this conference is to bring together principal investigators from several of these surveys and other global experts in survey methodology for a first-of-its-kind meeting to discuss potential synergies across surveys, developments in survey methods including artificial intelligence applications, and best practices for enhancing the efficiency and impact of surveys on society. The conference will benefit the science of survey research by identifying state-of-the-art knowledge, including common challenges and opportunities, and by incorporating relevant advancements in artificial intelligence technology. The conference will benefit society by focusing on ways that surveys can better represent the views of diverse segments of the public, by inviting a diverse group of early career scientists to participate in the meeting, and by making key insights and conclusions publicly available through the conference website. <br/><br/>Surveys have long been a prominent method for measuring social and economic conditions globally. In the U.S., the National Science Foundation funds a number of important social science surveys. Yet, changing social conditions and advancements in technologies present new opportunities and challenges for surveys and the methodologies they rely on. This conference will bring together principal investigators of several NSF-funded survey projects, early career scholars, and other global experts focused on survey research and methods, including large language models (LLMs) and AI, for a Thought Summit on the Future of Survey Science scheduled to take place in September 2024. Primary conference goals include developing synergies among NSF-funded surveys, increasing their societal impacts, and informing the future of survey research. Specific aims include: 1.) Strengthening collaboration across NSF projects 2.) Sharing best practices 3.) Identifying challenges, opportunities, and solutions in the survey research and AI space. With respect to intellectual merit, this conference will advance the state-of-the-art knowledge of survey methods and best practices, identify synergies between survey research and large language model (LLM) and AI research focused on modeling public beliefs, attitudes, and opinions, and generate new lines of inquiry at the intersection of survey methods and AI research, the outcome of which could alter the future of survey research. With respect to broader impacts, NSF-funded surveys enhance understanding about social, political, and economic conditions affecting diverse segments of the public, while attempting to represent the unique viewpoints of different groups as accurately as possible. This conference will support these broader impacts by helping to ensure that existing NSF-funded surveys are achieving their goals of capturing all voices and conducting representative surveys. In addition, the meeting will recruit a diverse group of junior scholars to ensure their perspectives are incorporated and to help create a more diverse and inclusive scientific community. Finally, to maximize the broader social impact of the meeting, key findings, conclusions, and recommendations from the meeting will be made public through the conference website.<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
|
47.075
|
1
|
4900
|
4900
|
2431915
|
[{'FirstName': 'Peter', 'LastName': 'Enns', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peter Enns', 'EmailAddress': '[email protected]', 'NSF_ID': '000625369', 'StartDate': '07/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Jonathon', 'LastName': 'Schuldt', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jonathon P Schuldt', 'EmailAddress': '[email protected]', 'NSF_ID': '000684607', 'StartDate': '07/22/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Colleen', 'LastName': 'Barry', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Colleen L Barry', 'EmailAddress': '[email protected]', 'NSF_ID': '000869522', 'StartDate': '07/22/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Cornell University', 'CityName': 'ITHACA', 'ZipCode': '148502820', 'PhoneNumber': '6072555014', 'StreetAddress': '341 PINE TREE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'G56PUALJ3KT5', 'ORG_LGL_BUS_NAME': 'CORNELL UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Cornell University', 'CityName': 'ITHACA', 'StateCode': 'NY', 'ZipCode': '148502820', 'StreetAddress': '341 PINE TREE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}
|
{'Code': '120Y00', 'Text': 'AIB-Acctble Institutions&Behav'}
|
2024~39870
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431915.xml'}
|
PFI-TT: Development of High-performance Long-life Electrodes for Sustainable Sodium-based Batteries
|
NSF
|
09/01/2024
|
08/31/2026
| 550,000 | 550,000 |
{'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 of this Partnerships for Innovation - Technology Translation (PFI-TT) project is realized through the development of sodium-based batteries that utilize abundant raw materials and environmentally friendly processing methods to foster a more sustainable and economically efficient energy landscape. By moving away from the traditional lithium-ion technology, these batteries have the potential to lower production costs and alleviate supply chain constraints associated with lithium and other critical but scarce elements like cobalt and nickel. Additionally, these sodium-based batteries are poised to enhance fast-charging capabilities and improve operation in cold environments. Such advances hold promise in enabling wider application in diverse areas such as large-scale energy storage, electric vehicles, and portable power tools. The research will contribute to the training of a new generation of scientists, engineers, and entrepreneurs in the field of energy storage as they will develop expertise in new materials synthesis and characterization techniques.<br/><br/>The project aims to scale up cathode synthesis for sodium-based batteries and demonstrate superior performance in large-format cells by filling the knowledge gaps between the lab-scale coin cells in half-cell configuration and the practical pouch cells of sodium-ion batteries and anode-free sodium metal batteries. The research and development activities will advance (1) fundamental understanding of the heat and mass transfer dynamics and concurrent particle nucleation and growth dynamics during the synthesis, under various combinations of precursor formulation, initial temperature, feeding rate, and air inlet temperature conditions; (2) interactions between component species in the electrode slurry from the microscopic interparticle capillary stress to the bulk rheology effects; (3) the effectiveness of greener processing methods including using water to replace expensive and toxic solvents, and a solvent-free dry processing technology for making ultrathick electrodes. The tasks are designed to combine high-throughput operando rapid assessments and simulations to extract and consolidate precision understandings.<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.
|
08/28/2024
|
08/28/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2431923
|
[{'FirstName': 'Richard', 'LastName': 'Axelbaum', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Richard L Axelbaum', 'EmailAddress': '[email protected]', 'NSF_ID': '000397696', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Peng', 'LastName': 'Bai', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peng Bai', 'EmailAddress': '[email protected]', 'NSF_ID': '000795099', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': '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': '166200', 'Text': 'PFI-Partnrships for Innovation'}
|
2024~550000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431923.xml'}
|
SBIR Phase I: Multilingual Adaptive School for Youth (MASY)
|
NSF
|
09/01/2024
|
08/31/2025
| 274,576 | 274,576 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Lindsay Portnoy', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928848'}
|
The broader/commercial impact of this SBIR Phase I project addresses significant educational disparities faced by over 200 million young people with no access to schooling and an additional 600 million struggling with basic literacy and numeracy skills despite being enrolled. The United Nations projects that the number of out-of-school children will increase by 84 million by 2030. This project aims to solve this problem by developing a universal platform for delivering educational content in multiple languages and cultural contexts. Education and language translation technologies rarely engage in cross-field research, yet they are deeply interconnected. Unlike existing digital education programs, this innovation is designed specifically for low-resourced language communities, where digital education is most needed. Low-resourced languages typically lack extensive digital data, comprehensive dictionaries, and detailed linguistic analysis, making it impossible for current natural language processing (NLP) models. Consequently, no comprehensive or high-quality educational content exists in these low-resource languages. This project aims to merge these fields by developing a global comprehensive PreK-grade 12 school platform that employs advanced language translation in its educational content delivery system, to exponentially increase access to high-quality education across linguistic barriers in regions where education in local languages is severely limited or completely absent. <br/><br/>This Small Business Innovation Research (SBIR) Phase I project aims to develop a core universal natural language processing (NLP) model specifically designed for low-resourced languages. The primary technical objective is to create a model capable of handling the unique linguistic features of low-resourced languages, leveraging limited data, and incorporating cultural and contextual nuances to reduce language barriers as well as increase access to high-quality education globally while simultaneously extending the current ability of extant NLP models. The research will involve selecting and fine-tuning pre-trained models and adapting them to low-resourced languages through transfer learning, cross-linguistic techniques, and generating synthetic data to enrich training datasets. The project will also develop specialized layers for morphological analysis, tonal recognition, and flexible syntax parsing. Data collection and preprocessing pipelines will be established to ensure high-quality training data, while bias detection and mitigation techniques will be integrated to promote fairness and accuracy. The anticipated technical results include a highly adaptable NLP model that can deliver educational content in multiple low-resourced languages with high accuracy and cultural relevance. This project has the potential to significantly advance the field of NLP while providing a scalable and effective solution for the delivery of high-quality educational content globally.<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
|
08/22/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2431924
|
{'FirstName': 'Sharon', 'LastName': 'Washington', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sharon Washington', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A075S', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'SHARON WASHINGTON', 'CityName': 'HOUSTON', 'ZipCode': '770983994', 'PhoneNumber': '2816206913', 'StreetAddress': '3730 KIRBY DR STE 904', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'TX02', 'ORG_UEI_NUM': 'EAZHX98QCUH3', 'ORG_LGL_BUS_NAME': 'SHARON WASHINGTON', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'SHARON WASHINGTON', 'CityName': 'HOUSTON', 'StateCode': 'TX', 'ZipCode': '770983994', 'StreetAddress': '3730 KIRBY DR STE 904', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'TX02'}
|
{'Code': '537100', 'Text': 'SBIR Phase I'}
|
2024~274576
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431924.xml'}
|
I-Corps: Predicting cognitive risk to enable autonomy and avert driving-related incidents in people with Alzheimer's disease and related dementias
|
NSF
|
06/15/2024
|
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 device for any vehicle with an electronic ignition to improve safety by detecting cognitive driving risk due to Alzheimer’s disease and related dementias. Cognitively impaired drivers place themselves and others in danger due to predictable errors in a variety of skill maneuvers compared with cognitively “normal” drivers. In addition, older adults with late mild to early moderate Alzheimer’s disease and Alzheimer’s disease-related dementias may have an unrecognized lack of self-regulation to accurately self-assess driving risk. To address this challenge, this technology is designed to provide a rapid and objective way to quantify the predictive cognitive risk of driving. The technology will support autonomy and avert Alzheimer’s disease-related dementias driving-related incidents and potential tragedies and property losses. The prevention of cognitively impaired driving may benefit family caregivers of those with Alzheimer’s disease and related dementias, commercial and mass transportation, and those who are cognitively impaired due to illicit drugs not detectable by breathalyzer technologies. <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 an adaptive cognitive driving risk device to prevent driving and prompt mitigation strategies if cognitive driving risk is detected. This artificial intelligence (AI)-powered technology allows the identification of the least number of tests from seven neurocognitive domains to predict cognitively-at-risk driving with the best accuracy. In addition, the device provides real-time, predictive assessments of cognitive driving risk to support driving autonomy along with a mechanism to halt driving for those who refuse to cease driving after being deemed cognitively unsafe by a healthcare professional. A lab prototype has established the principles for driving prevention with a failed cognitive test. This technology may be used to support the Infrastructure Act of 2021, which mandates that all auto manufacturers integrate the ability to indirectly identify impaired drivers beginning in 2026.<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
|
47.084
|
1
|
4900
|
4900
|
2431941
|
[{'FirstName': 'Adam', 'LastName': 'Gaweda', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Adam E Gaweda', 'EmailAddress': '[email protected]', 'NSF_ID': '000688245', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Candace', 'LastName': 'Harrington', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Candace C Harrington', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A029K', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'University of Louisville Research Foundation Inc', 'CityName': 'LOUISVILLE', 'ZipCode': '402081838', 'PhoneNumber': '5028523788', 'StreetAddress': '2301 S 3RD ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Kentucky', 'StateCode': 'KY', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'KY03', 'ORG_UEI_NUM': 'E1KJM4T54MK6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF LOUISVILLE', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Louisville Research Foundation Inc', 'CityName': 'LOUISVILLE', 'StateCode': 'KY', 'ZipCode': '402081838', 'StreetAddress': '2301 S 3RD ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Kentucky', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'KY03'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431941.xml'}
|
Conference: Cal-Bridge Doctoral Scholars Summer Institute Conference
|
NSF
|
07/15/2024
|
06/30/2025
| 49,950 | 49,950 |
{'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'}
|
California State University at San Bernadino will organize and the University of California Davis will host the second Cal-Bridge Summer Institute Alumni Conference, July 22-27, 2024. Participants will be doctoral students who are alumni of Cal-Bridge, a partnership between the University of California (UC) and the California State University (CSU) systems designed to provide pathways into research and the professorate for historically underrepresented students. Participating scholars will form a like-minded peer learning community built on a community-of-practice model. During this summer program the learning community will focus on how people learn and on evidence-based teaching practices. The group will continue with regular virtual meetings throughout the academic year to promote the exchange of ideas, best practices, and moral support. The portion of the workshop costs funded by the NSF will support funding for the 30 Cal-Bridge Doctoral Scholars to participate in the Summer Institute.<br/><br/>The Cal-Bridge Summer Institute, a series of professional development workshops, will have two major thrusts: 1) developing effective pedagogues, and 2) developing effective research leaders. In addition to these, the conference will include a variety of shorter professional development mentorship sessions, and community and cohort building activities. This conference aims to address two systemic points of loss along the professorial and professional researcher pathway for Cal-Bridge Alumni currently in PhD programs outside of the University of California system: completion of the PhD, and entrance into the workforce. Specifically, the award will: 1) Broaden the impact of the professional development being offered to a larger group of doctoral scholars from diverse backgrounds, and 2) Provide space for Cal-Bridge Doctoral students to hold discussions and activities to build up their professional network and 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.
|
07/01/2024
|
07/01/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2431962
|
[{'FirstName': 'Carol', 'LastName': 'Hood', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Carol Hood', 'EmailAddress': '[email protected]', 'NSF_ID': '000648482', 'StartDate': '07/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Alexander', 'LastName': 'Rudolph', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alexander L Rudolph', 'EmailAddress': '[email protected]', 'NSF_ID': '000505143', 'StartDate': '07/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Maria', 'LastName': 'Wimberly', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Maria K Wimberly', 'EmailAddress': '[email protected]', 'NSF_ID': '000857675', 'StartDate': '07/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Bruce', 'LastName': 'Schumm', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bruce A Schumm', 'EmailAddress': '[email protected]', 'NSF_ID': '000235765', 'StartDate': '07/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University Enterprises Corporation at CSUSB', 'CityName': 'SAN BERNARDINO', 'ZipCode': '924072318', 'PhoneNumber': '9095375929', 'StreetAddress': '5500 UNIVERSITY PKWY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '33', 'CONGRESS_DISTRICT_ORG': 'CA33', 'ORG_UEI_NUM': 'QJZ1F3UMLEJ4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY ENTERPRISES CORPORATION AT CSUSB', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University Enterprises Corporation at CSUSB', 'CityName': 'SAN BERNARDINO', 'StateCode': 'CA', 'ZipCode': '924072318', 'StreetAddress': '5500 UNIVERSITY PKWY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '33', 'CONGRESS_DISTRICT_PERF': 'CA33'}
|
{'Code': '121900', 'Text': 'SPECIAL PROGRAMS IN ASTRONOMY'}
|
2024~49950
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431962.xml'}
|
EAGER: IMPRESS-U: Companion Catalysts for Catalyst Regeneration
|
NSF
|
09/01/2024
|
08/31/2026
| 300,000 | 300,000 |
{'Value': 'Standard Grant'}
|
{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}
|
{'SignBlockName': 'Maija Kukla', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924940'}
|
Catalysis is a key technology that enables the production of fuels and chemicals from carbon-containing resources such as petroleum, biomass, or waste polymers. In an ideal scenario, a catalyst has an infinite lifetime: it assists a chemical transformation while remaining unaltered itself. However, the real-world conditions in industrial processes lead to catalyst deactivation, often by deposits on the surface of the catalyst. As a result, the processes become less efficient, and catalysts need to be regenerated or replaced, all of which adds to energy consumption, waste generation, and cost. Researchers at the University of Massachusetts Amherst (US), the L.V. Pisarzhevsky Institute of Physical Chemistry of the National Academy of Sciences of Ukraine in Kyiv (Ukraine), and the National Institute of Chemical Physics and Biophysics in Tallinn (Estonia) combine their expertise and devise new approaches to catalyst regeneration that will prolong the service life of catalysts. <br/><br/>The objective of the project is to test the concept of a “companion catalyst” that will be integrated into a reactor and make the regeneration process itself catalytic. It is hypothesized that catalytic regeneration is milder and more efficient than non-catalytic regeneration. Three target reactions with a variety of reactants (hydrocarbon or oxygenate) and a range of operating temperatures will be explored to generate deposits of different composition. Companion catalysts will be designed to oxidize or hydrogenate the deposits to volatile compounds. To avoid interference of a companion catalyst with the target catalyst, it will have low intrinsic reactivity, be passivated, or be inaccessible to the reactants. Experiments will be conducted to assess the role of transport of the activated regenerant across the surface or grains. The group in Kyiv will synthesize and characterize catalysts; the group in Tallinn will apply NMR to characterize catalysts and carbon-containing deposits; and the group in Amherst will deactivate catalysts and monitor their regeneration by operando spectroscopy and thermal analysis. The concept of a companion catalyst, if proven to be viable, has potential for the many processes in which deactivation is caused by deposits. The project will provide basic and advanced training in catalysis and kinetics, cutting-edge methods of materials synthesis and characterization, and in situ and operando techniques for all participants, including students in all three locations. Efforts to enhance the participation of underrepresented groups will be made when recruiting students and through contributions to the UMass College of Engineering RISE program. The results of this project will be widely disseminated, within the scientific community through publication in peer-reviewed international journals or presentation at conferences, and to a broader audience via news items on institutional webpages.<br/><br/>This IMPRESS-U project is jointly funded by NSF, Estonian Research Council (ETAG), US National Academy of Sciences, and Office of Naval Research Global (DoD). The research will be performed in a multilateral international partnership that unites University of Massachusetts Amherst (US), National Institute of Chemical Physics and Biophysics, Tallinn (Estonia), and Institute of Physical Chemistry, National Academy of Sciences of Ukraine, Kyiv (Ukraine). US portion of the collaborative effort will be co-funded by NSF OISE/OD and ENG/CBET programs.<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.
|
07/02/2024
|
07/02/2024
|
None
|
Grant
|
47.041, 47.079
|
1
|
4900
|
4900
|
2431966
|
{'FirstName': 'Friederike', 'LastName': 'Jentoft', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Friederike C Jentoft', 'EmailAddress': '[email protected]', 'NSF_ID': '000682695', 'StartDate': '07/02/2024', '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': '686 North Pleasant', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'MA02'}
|
[{'Code': '140100', 'Text': 'Catalysis'}, {'Code': '729800', 'Text': 'International Research Collab'}]
|
2024~300000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431966.xml'}
|
Ideas Lab: PEL Engineering Playground: Intelligent Augmented Reality for Personalized Learning Informed by Environmental Identity Development
|
NSF
|
10/01/2024
|
09/30/2026
| 300,000 | 300,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07040000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EFMA', 'LongName': 'Emerging Frontiers & Multidisciplinary Activities'}}
|
{'SignBlockName': 'Matthew A. Verleger', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922961'}
|
This project will develop an innovative approach to personalized engineering education by creating the Personalized Engineering Playground (PEP), an intelligent Augmented Reality (AR) system informed by Environmental Identity Development (EID) theory. By tapping into students' formative childhood experiences in nature and linking them to engineering concepts, PEP aims to create more engaging, emotionally resonant learning experiences for engineering and technology students. This approach has the potential to attract and retain a more diverse group of students in engineering fields, addressing workforce demands and fostering a new generation of environmentally conscious innovators. By learning what formative experiences students who chose to pursue engineering think led them there, we could inform the curriculum for K-12 education, extending upon this pilot study. This insight into the motivations and inspirations of current engineering students can help develop more targeted and effective outreach programs for K-12 students, potentially sparking interest in engineering among more underrepresented groups. Such an approach could increase diversity in the engineering pipeline and, ultimately, the profession. The project aligns with the NSF's mission to promote the progress of science and advance national health, prosperity, and welfare by enhancing engineering education through cutting-edge technology and personalized learning experiences. By integrating environmental consciousness into engineering education, PEP will contribute to developing engineers who are better equipped to address pressing ecological challenges and create sustainable solutions for the future. <br/><br/>This two-year pilot study will focus on developing and testing a prototype version of PEP, targeting undergraduate engineering and technology students at Purdue University. The project will address two main research questions: (1) How have undergraduate engineering students' formative childhood experiences influenced their interest in pursuing engineering as a career, and how can we utilize these experiences to inform the development of an EID-informed AI/AR engineering learning platform? (2) Is there a knowledge gain on the presented engineering topics for different cohorts when students engage with a PEP module? The study will employ a mixed-methods approach, combining quantitative and qualitative data collection through surveys, embedded AR module questions, and analysis of learners' interactions with the platform. The research will involve two distinct cohorts of approximately 100 students each. Cohort 1 will participate in the initial survey phase, providing insights into their formative environmental experiences and their connections to engineering interests. Cohort 2 will engage directly with the developed AR/AI module during the pilot phase, offering hands-on feedback on its effectiveness and usability. The project will develop one AR module based on a common formative experience identified through student feedback, focusing on fundamental engineering concepts. This module will be integrated as a regular lab component within the MET 230 (Fluid Power) course at Purdue University. Expected outcomes include a functional AR prototype with embedded AI, insights into the effectiveness of EID-driven engineering education, and a framework for expanding PEP to engage additional age groups and engineering disciplines. The project will also yield valuable data on the relationship between early environmental experiences and engineering career choices, leading to more personalized approaches for teaching engineering concepts to K-12 students and attracting a more diverse future engineering population. By bridging the gap between childhood experiences in nature and engineering education, PEP has the potential to create more engaging, relevant, and impactful learning experiences that could attract a more diverse group of students to engineering fields.<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, 47.076
|
1
|
4900
|
4900
|
2431980
|
[{'FirstName': 'Sarah', 'LastName': 'Bargal', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sarah A Bargal', 'EmailAddress': '[email protected]', 'NSF_ID': '000807181', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Farid', 'LastName': 'El Breidi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Farid El Breidi', 'EmailAddress': '[email protected]', 'NSF_ID': '000860646', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Carie', 'LastName': 'Green', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Carie J Green', 'EmailAddress': '[email protected]', 'NSF_ID': '000752762', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Wade', 'LastName': 'Goodridge', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Wade Goodridge', 'EmailAddress': '[email protected]', 'NSF_ID': '000563472', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Co-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': '479061332', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'IN04'}
|
[{'Code': '132Y00', 'Text': 'AI Research Institutes'}, {'Code': '134000', 'Text': 'EngEd-Engineering Education'}, {'Code': '763300', 'Text': 'EFRI Research Projects'}]
|
2024~300000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431980.xml'}
|
RAPID: Post-seismic survey of the April 5, 2024 Mw4.8 New Jersey Earthquake
|
NSF
|
07/15/2024
|
06/30/2025
| 24,641 | 24,641 |
{'Value': 'Standard Grant'}
|
{'Code': '06030000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'EAR', 'LongName': 'Division Of Earth Sciences'}}
|
{'SignBlockName': 'Eva Zanzerkia', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924734'}
|
On Friday, April 5, 2024, at 10:23 AM, a MW4.8 earthquake occurred near Tewksbury, New Jersey. It was the largest earthquake known to occur within 50 miles of New York City since 1884. The earthquake caused shaking throughout the NY metropolitan region and a record number of felt reports, but surprisingly little damage. This project will support a rapid response to this earthquake that includes 1) continued operation of a temporary seismic array to monitor aftershocks, 2) geologic fieldwork in the epicenter region, 3) dissemination and preliminary analysis of data collected, and 4) public outreach and education.<br/><br/>Understanding why seismicity is spatially associated with this fault is a critical and urgent question for a realistic assessment of the hazard in the densely populated region. The project will analyze the more than 132 recorded aftershocks from this event. This new data has also the potential to help in understanding the nature of intra-plate earthquakes more generally. The aftershock survey also provides the opportunity for students and postdocs at Lamont to participate in seismological and geological fieldwork, and the analysis of seismic data using advanced methods for earthquake detection and location to image active faults.<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
|
47.050
|
1
|
4900
|
4900
|
2431983
|
[{'FirstName': 'Felix', 'LastName': 'Waldhauser', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Felix Waldhauser', 'EmailAddress': '[email protected]', 'NSF_ID': '000488355', 'StartDate': '07/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Folarin', 'LastName': 'Kolawole', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Folarin Kolawole', 'EmailAddress': '[email protected]', 'NSF_ID': '000871643', 'StartDate': '07/09/2024', 'EndDate': None, 'RoleCode': 'Co-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': '615 W 131ST ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'NY13'}
|
{'Code': '157400', 'Text': 'Geophysics'}
|
2024~24641
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431983.xml'}
|
PFI-TT: Robust and Processable Electromagnetic Coatings
|
NSF
|
09/01/2024
|
08/31/2026
| 550,000 | 550,000 |
{'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 of this Partnerships for Innovation - Technology Translation (PFI-TT) project is in the development of a new conducting material, namely a conducting coordination polymer, and its application to conductive coatings and/or films for various technological applications. The material is stable in harsh conditions and is solution processable as an ink which can be applied to surfaces. This unique combination makes it different from known conductors and makes it an appealing candidate for inclusion into electromagnetic shielding coatings/textiles and flexible electronics. The goal of the effort is to further develop the material for these applications, both in terms of its scalability and cost, while exploring its applications and processing capabilities. In tandem with these efforts, this project will result in entrepreneurial training and career preparation for students at various levels of education.<br/><br/>The project aims to investigate the technological applications of a newly discovered coordination polymer NiTTFtt. This material is highly conductive and is also stable to harsh conditions including acid, base, and even detergent washes. It is also stable to heating in air above 200 degrees Celsius. The material can be solution-processed either as a colloidal suspension or an ink. These solutions enable the deposition of thin films on many substrates, as well as dip coating of materials such as textiles. The goal of this research will be to optimize the above properties, and to then develop its applications in various technologies. Specific areas of interest include electromagnetic shielding and flexible electronics. Here, the unique stability profile of NiTTFtt promises the realization of new robust coatings or devices which should be amenable to operation in harsh conditions such as marine environments. Novel synthetic approaches will also be investigated in order to improve the scalability and cost of these materials and/or coatings. Finally, performance in specific applications will be tested on both pure NiTTFtt films, as well as coated composites which can be tailored for specific 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.
|
08/28/2024
|
08/28/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2431984
|
[{'FirstName': 'John', 'LastName': 'Anderson', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John S Anderson', 'EmailAddress': '[email protected]', 'NSF_ID': '000727121', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Kaajal Raj', 'LastName': 'Juggernauth', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kaajal Raj Juggernauth', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A071K', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University of Chicago', 'CityName': 'CHICAGO', 'ZipCode': '606375418', 'PhoneNumber': '7737028669', 'StreetAddress': '5801 S ELLIS AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'IL01', 'ORG_UEI_NUM': 'ZUE9HKT2CLC9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CHICAGO', 'ORG_PRNT_UEI_NUM': 'ZUE9HKT2CLC9'}
|
{'Name': 'University of Chicago', 'CityName': 'CHICAGO', 'StateCode': 'IL', 'ZipCode': '606375418', 'StreetAddress': '5801 S ELLIS AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'IL01'}
|
{'Code': '166200', 'Text': 'PFI-Partnrships for Innovation'}
|
2024~550000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431984.xml'}
|
CAREER: In-situ Capture and Conversion of CO2 to Hydrocarbons
|
NSF
|
04/01/2024
|
03/31/2027
| 538,140 | 344,481 |
{'Value': 'Continuing Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Robert McCabe', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924826'}
|
This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).<br/><br/>Over the past decades, global emissions of greenhouse gases, carbon dioxide (CO2) and methane (CH4), have risen steadily, thus creating an urgent need for technology capable of capturing and/or converting those molecules to higher-value chemicals. The project investigates the effectiveness of perovskite materials to serve the dual function of capturing CO2 and catalyzing its conversion to hydrocarbons by reaction with CH4. Specifically, the aim is to tune the perovskite composition to promote efficient capture of CO2, followed by reaction with CH4, to produce syngas, ethane, and ethylene - all of value as essential platform chemicals that can be readily converted to polymers and fuels. Thus, the project explores a novel approach to achieving the simultaneous goals of mitigating greenhouse gas emissions while securing future supplies of energy and chemical raw materials. The project integrates the research with an education and outreach plan introducing students to sustainable engineering precepts, while broadening and diversifying the future science and engineering workforce.<br/><br/>The project investigates structure-composition-function properties of sorption-enhanced perovskite oxide catalysts for hydrocarbon synthesis via either dry methane reforming (DRM) or CO2-mediated oxidative coupling of methane (CO2-OCM). Specifically, the project focuses on SrTiO3 and CaTiO3 given their inherent basicity (which promotes the adsorption of CO2), combined with their capability to activate CO2 and CH4 using oxygen vacancies. Preliminary studies by the investigator have determined that the SrTiO3-based multifunctional catalysts, doped with Ni, can capture CO2 and convert it to syngas, ethane, and ethylene. The project will use SrTi1-xMxO3/SrO or CaTi1-xMxO3/CaO (with M=Ce, Mn and x = 0 – 0.1) systems to selectivity adsorb CO2 from simulated ideal or flue gas mixtures. Specific goals include: (1) elucidating the transport and reaction kinetics for CO2 capture and release in air and flue streams, (2) evaluating the effects of dopant metals on the kinetics, selectivity, and stability of the multifunctional catalysts under reaction conditions, and (3) enhancing the surface area of the perovskite-based catalysts by synthesizing them on monolith supports, and 4) ensuring the stability of the catalysts by investigating cyclic operation to periodically regenerate the catalysts due to metal-dopant exsolution, and/or perovskite structure destabilization under reaction conditions. The project utilizes a broad range of characterization and evaluation techniques, highlighted by in situ and operando high-pressure/high-temperature FTIR and Raman spectroscopic characterization of adsorbed surface species (FTIR) and oxygen vacancies (Raman), the latter in collaboration with Dr. T. J. Kim at Stony Brook University. Integration of the research with educational and outreach initiatives focuses on sustainable engineering concepts related to chemical engineering, particularly with respect to improving the inclusiveness of women in the chemical engineering field. Efforts along those lines will be incorporated into well-established education and outreach programs for underrepresented students at the investigator’s institution. Specifically, the investigator plans to 1) start an annual graduate preparation retreat program for first-year graduate women in engineering, 2) develop research experience for undergraduate women and transfer students, 3) develop hands-on engineering activities for K-8 girls to solve environmental problems, and 4) expand undergraduate and graduate chemical engineering course curricula.<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.
|
05/24/2024
|
05/24/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2432002
|
{'FirstName': 'Kandis', 'LastName': 'Abdul-Aziz', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kandis L Abdul-Aziz', 'EmailAddress': '[email protected]', 'NSF_ID': '000797559', 'StartDate': '05/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Southern California', 'CityName': 'LOS ANGELES', 'ZipCode': '90033', 'PhoneNumber': '2137407762', 'StreetAddress': '3720 S FLOWER ST FL 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '34', 'CONGRESS_DISTRICT_ORG': 'CA34', 'ORG_UEI_NUM': 'G88KLJR3KYT5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SOUTHERN CALIFORNIA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Southern California', 'CityName': 'LOS ANGELES', 'StateCode': 'CA', 'ZipCode': '900890701', 'StreetAddress': '3720 S FLOWER ST FL 3', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '37', 'CONGRESS_DISTRICT_PERF': 'CA37'}
|
[{'Code': '104500', 'Text': 'CAREER: FACULTY EARLY CAR DEV'}, {'Code': '140100', 'Text': 'Catalysis'}]
|
['2022~235201', '2023~109280']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432002.xml'}
|
Collaborative Research: Ideas Lab: PEL Meaningful Failure: Transforming Academic Structures and Incentives through Personalization in Engineering Education
|
NSF
|
10/01/2024
|
09/30/2026
| 177,177 | 177,177 |
{'Value': 'Standard Grant'}
|
{'Code': '07040000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EFMA', 'LongName': 'Emerging Frontiers & Multidisciplinary Activities'}}
|
{'SignBlockName': 'Matthew A. Verleger', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922961'}
|
This project transforms engineering education by leveraging "meaningful failure" as a promising approach to learning and teaching. Failure is an inherent part of human life and learning processes, and early failure is often prerequisite step on the path to successful learning. However, typical engineering education currently punishes failure, which disincentivizes innovation, exploration, and risk-taking, ultimately resulting in engineers who are less prepared to tackle complex global challenges. By understanding students’ unique experiences during moments of academic failure, this project supports students taking risks and learning from setbacks, developing the skills and mindsets to embrace failure as a meaningful experience in their learning. Our research involves the use of biometric data, observations of classroom dynamics, and psychosocial assessments to better understand how each student experiences failure on a physiological, cognitive, and social level. We will use these data to develop new educational tools and strategies that will provide immediate, tailored interventions connected to individual student needs and experiences. This research will support the development of a workforce ready to persist past ubiquitous failure experiences in engineering to address tomorrow’s challenging engineering problems. Further, this research aligns with the goal of creating inclusive and equitable learning environments that can adapt to the diverse needs of all students.<br/><br/>The project will explore meaningful failure in engineering education contexts by developing personalized learning strategies and pedagogical tools. The proposed research has three goals: identifying real-time failure profile signals, understanding how learners' responses to failure are individualized, and determining necessary changes in pedagogy and assessment to support personalized responses tolearning from failure. The research involves a multi-pronged data collection approach, including laboratory experiments using video and biosensing modalities (EEG, EDA, ECG), classroom observations, surveys, and interviews with educators and administrators. A convergent team from five institutions, with expertise in cognitive neuroscience, learning sciences, AI, and psychosocial theories of learning and development collaborate to create individualized failure profiles. These profiles will integrate multi-modal data sources to formally represent each learner’s unique cognitive, affective, and behavioral responses to failure. The project will culminate in the development of pedagogical tools and strategies to support personalized learning and resilience – increasing retention and success rates in engineering fields and pioneering a shift in engineering education towards valuing learning from failure.<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.
|
08/16/2024
|
08/16/2024
|
None
|
Grant
|
47.041, 47.070
|
1
|
4900
|
4900
|
2432011
|
{'FirstName': 'David', 'LastName': 'Kraemer', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David J Kraemer', 'EmailAddress': '[email protected]', 'NSF_ID': '000662294', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Dartmouth College', 'CityName': 'HANOVER', 'ZipCode': '037552170', 'PhoneNumber': '6036463007', 'StreetAddress': '7 LEBANON ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Hampshire', 'StateCode': 'NH', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NH02', 'ORG_UEI_NUM': 'EB8ASJBCFER9', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF DARTMOUTH COLLEGE', 'ORG_PRNT_UEI_NUM': 'T4MWFG59C6R3'}
|
{'Name': 'Dartmouth College', 'CityName': 'HANOVER', 'StateCode': 'NH', 'ZipCode': '037552170', 'StreetAddress': '7 LEBANON ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Hampshire', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NH02'}
|
[{'Code': '134000', 'Text': 'EngEd-Engineering Education'}, {'Code': '736700', 'Text': 'HCC-Human-Centered Computing'}, {'Code': '763300', 'Text': 'EFRI Research Projects'}]
|
2024~177177
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432011.xml'}
|
Collaborative Research: Ideas Lab: PEL Meaningful Failure: Transforming Academic Structures and Incentives through Personalization in Engineering Education
|
NSF
|
10/01/2024
|
09/30/2026
| 166,895 | 166,895 |
{'Value': 'Standard Grant'}
|
{'Code': '07040000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EFMA', 'LongName': 'Emerging Frontiers & Multidisciplinary Activities'}}
|
{'SignBlockName': 'Matthew A. Verleger', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922961'}
|
This project transforms engineering education by leveraging "meaningful failure" as a promising approach to learning and teaching. Failure is an inherent part of human life and learning processes, and early failure is often prerequisite step on the path to successful learning. However, typical engineering education currently punishes failure, which disincentivizes innovation, exploration, and risk-taking, ultimately resulting in engineers who are less prepared to tackle complex global challenges. By understanding students’ unique experiences during moments of academic failure, this project supports students taking risks and learning from setbacks, developing the skills and mindsets to embrace failure as a meaningful experience in their learning. Our research involves the use of biometric data, observations of classroom dynamics, and psychosocial assessments to better understand how each student experiences failure on a physiological, cognitive, and social level. We will use these data to develop new educational tools and strategies that will provide immediate, tailored interventions connected to individual student needs and experiences. This research will support the development of a workforce ready to persist past ubiquitous failure experiences in engineering to address tomorrow’s challenging engineering problems. Further, this research aligns with the goal of creating inclusive and equitable learning environments that can adapt to the diverse needs of all students.<br/><br/>The project will explore meaningful failure in engineering education contexts by developing personalized learning strategies and pedagogical tools. The proposed research has three goals: identifying real-time failure profile signals, understanding how learners' responses to failure are individualized, and determining necessary changes in pedagogy and assessment to support personalized responses tolearning from failure. The research involves a multi-pronged data collection approach, including laboratory experiments using video and biosensing modalities (EEG, EDA, ECG), classroom observations, surveys, and interviews with educators and administrators. A convergent team from five institutions, with expertise in cognitive neuroscience, learning sciences, AI, and psychosocial theories of learning and development collaborate to create individualized failure profiles. These profiles will integrate multi-modal data sources to formally represent each learner’s unique cognitive, affective, and behavioral responses to failure. The project will culminate in the development of pedagogical tools and strategies to support personalized learning and resilience – increasing retention and success rates in engineering fields and pioneering a shift in engineering education towards valuing learning from failure.<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.
|
08/16/2024
|
08/16/2024
|
None
|
Grant
|
47.041, 47.070, 47.076
|
1
|
4900
|
4900
|
2432012
|
{'FirstName': 'Allison', 'LastName': 'Godwin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Allison Godwin', 'EmailAddress': '[email protected]', 'NSF_ID': '000677512', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Cornell University', 'CityName': 'ITHACA', 'ZipCode': '148502820', 'PhoneNumber': '6072555014', 'StreetAddress': '341 PINE TREE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'G56PUALJ3KT5', 'ORG_LGL_BUS_NAME': 'CORNELL UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Cornell University', 'CityName': 'Ithaca', 'StateCode': 'NY', 'ZipCode': '148535205', 'StreetAddress': '246A Olin Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}
|
[{'Code': '763300', 'Text': 'EFRI Research Projects'}, {'Code': '802000', 'Text': 'Cyberlearn & Future Learn Tech'}]
|
2024~166895
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432012.xml'}
|
Collaborative Research: Ideas Lab: PEL Meaningful Failure: Transforming Academic Structures and Incentives through Personalization in Engineering Education
|
NSF
|
10/01/2024
|
09/30/2026
| 274,703 | 274,703 |
{'Value': 'Standard Grant'}
|
{'Code': '07040000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EFMA', 'LongName': 'Emerging Frontiers & Multidisciplinary Activities'}}
|
{'SignBlockName': 'Matthew A. Verleger', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922961'}
|
This project transforms engineering education by leveraging "meaningful failure" as a promising approach to learning and teaching. Failure is an inherent part of human life and learning processes, and early failure is often prerequisite step on the path to successful learning. However, typical engineering education currently punishes failure, which disincentivizes innovation, exploration, and risk-taking, ultimately resulting in engineers who are less prepared to tackle complex global challenges. By understanding students’ unique experiences during moments of academic failure, this project supports students taking risks and learning from setbacks, developing the skills and mindsets to embrace failure as a meaningful experience in their learning. Our research involves the use of biometric data, observations of classroom dynamics, and psychosocial assessments to better understand how each student experiences failure on a physiological, cognitive, and social level. We will use these data to develop new educational tools and strategies that will provide immediate, tailored interventions connected to individual student needs and experiences. This research will support the development of a workforce ready to persist past ubiquitous failure experiences in engineering to address tomorrow’s challenging engineering problems. Further, this research aligns with the goal of creating inclusive and equitable learning environments that can adapt to the diverse needs of all students.<br/><br/>The project will explore meaningful failure in engineering education contexts by developing personalized learning strategies and pedagogical tools. The proposed research has three goals: identifying real-time failure profile signals, understanding how learners' responses to failure are individualized, and determining necessary changes in pedagogy and assessment to support personalized responses tolearning from failure. The research involves a multi-pronged data collection approach, including laboratory experiments using video and biosensing modalities (EEG, EDA, ECG), classroom observations, surveys, and interviews with educators and administrators. A convergent team from five institutions, with expertise in cognitive neuroscience, learning sciences, AI, and psychosocial theories of learning and development collaborate to create individualized failure profiles. These profiles will integrate multi-modal data sources to formally represent each learner’s unique cognitive, affective, and behavioral responses to failure. The project will culminate in the development of pedagogical tools and strategies to support personalized learning and resilience – increasing retention and success rates in engineering fields and pioneering a shift in engineering education towards valuing learning from failure.<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.
|
08/16/2024
|
08/16/2024
|
None
|
Grant
|
47.041, 47.075
|
1
|
4900
|
4900
|
2432013
|
[{'FirstName': 'Michael', 'LastName': 'Brown', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael Brown', 'EmailAddress': '[email protected]', 'NSF_ID': '000756874', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Vitaliy', 'LastName': 'Popov', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Vitaliy Popov', 'EmailAddress': '[email protected]', 'NSF_ID': '000718441', 'StartDate': '08/16/2024', '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': '139700', 'Text': 'Cross-Directorate Activities'}, {'Code': '763300', 'Text': 'EFRI Research Projects'}]
|
2024~274703
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432013.xml'}
|
Collaborative Research: Ideas Lab: PEL Meaningful Failure: Transforming Academic Structures and Incentives through Personalization in Engineering Education
|
NSF
|
10/01/2024
|
09/30/2026
| 191,657 | 191,657 |
{'Value': 'Standard Grant'}
|
{'Code': '07040000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EFMA', 'LongName': 'Emerging Frontiers & Multidisciplinary Activities'}}
|
{'SignBlockName': 'Matthew A. Verleger', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922961'}
|
This project transforms engineering education by leveraging "meaningful failure" as a promising approach to learning and teaching. Failure is an inherent part of human life and learning processes, and early failure is often prerequisite step on the path to successful learning. However, typical engineering education currently punishes failure, which disincentivizes innovation, exploration, and risk-taking, ultimately resulting in engineers who are less prepared to tackle complex global challenges. By understanding students’ unique experiences during moments of academic failure, this project supports students taking risks and learning from setbacks, developing the skills and mindsets to embrace failure as a meaningful experience in their learning. Our research involves the use of biometric data, observations of classroom dynamics, and psychosocial assessments to better understand how each student experiences failure on a physiological, cognitive, and social level. We will use these data to develop new educational tools and strategies that will provide immediate, tailored interventions connected to individual student needs and experiences. This research will support the development of a workforce ready to persist past ubiquitous failure experiences in engineering to address tomorrow’s challenging engineering problems. Further, this research aligns with the goal of creating inclusive and equitable learning environments that can adapt to the diverse needs of all students.<br/><br/>The project will explore meaningful failure in engineering education contexts by developing personalized learning strategies and pedagogical tools. The proposed research has three goals: identifying real-time failure profile signals, understanding how learners' responses to failure are individualized, and determining necessary changes in pedagogy and assessment to support personalized responses tolearning from failure. The research involves a multi-pronged data collection approach, including laboratory experiments using video and biosensing modalities (EEG, EDA, ECG), classroom observations, surveys, and interviews with educators and administrators. A convergent team from five institutions, with expertise in cognitive neuroscience, learning sciences, AI, and psychosocial theories of learning and development collaborate to create individualized failure profiles. These profiles will integrate multi-modal data sources to formally represent each learner’s unique cognitive, affective, and behavioral responses to failure. The project will culminate in the development of pedagogical tools and strategies to support personalized learning and resilience – increasing retention and success rates in engineering fields and pioneering a shift in engineering education towards valuing learning from failure.<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.
|
08/16/2024
|
08/16/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2432014
|
{'FirstName': 'Trevion', 'LastName': 'Henderson', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Trevion S Henderson', 'EmailAddress': '[email protected]', 'NSF_ID': '000873872', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Tufts University', 'CityName': 'SOMERVILLE', 'ZipCode': '021442401', 'PhoneNumber': '6176273696', 'StreetAddress': '169 HOLLAND ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'WL9FLBRVPJJ7', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF TUFTS COLLEGE', 'ORG_PRNT_UEI_NUM': 'WL9FLBRVPJJ7'}
|
{'Name': 'Tufts University', 'CityName': 'SOMERVILLE', 'StateCode': 'MA', 'ZipCode': '021442401', 'StreetAddress': '169 HOLLAND ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}
|
{'Code': '763300', 'Text': 'EFRI Research Projects'}
|
2024~191657
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432014.xml'}
|
Collaborative Research: Ideas Lab: PEL Meaningful Failure: Transforming Academic Structures and Incentives through Personalization in Engineering Education
|
NSF
|
10/01/2024
|
09/30/2026
| 189,568 | 189,568 |
{'Value': 'Standard Grant'}
|
{'Code': '07040000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EFMA', 'LongName': 'Emerging Frontiers & Multidisciplinary Activities'}}
|
{'SignBlockName': 'Matthew A. Verleger', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922961'}
|
This project transforms engineering education by leveraging "meaningful failure" as a promising approach to learning and teaching. Failure is an inherent part of human life and learning processes, and early failure is often prerequisite step on the path to successful learning. However, typical engineering education currently punishes failure, which disincentivizes innovation, exploration, and risk-taking, ultimately resulting in engineers who are less prepared to tackle complex global challenges. By understanding students’ unique experiences during moments of academic failure, this project supports students taking risks and learning from setbacks, developing the skills and mindsets to embrace failure as a meaningful experience in their learning. Our research involves the use of biometric data, observations of classroom dynamics, and psychosocial assessments to better understand how each student experiences failure on a physiological, cognitive, and social level. We will use these data to develop new educational tools and strategies that will provide immediate, tailored interventions connected to individual student needs and experiences. This research will support the development of a workforce ready to persist past ubiquitous failure experiences in engineering to address tomorrow’s challenging engineering problems. Further, this research aligns with the goal of creating inclusive and equitable learning environments that can adapt to the diverse needs of all students.<br/><br/>The project will explore meaningful failure in engineering education contexts by developing personalized learning strategies and pedagogical tools. The proposed research has three goals: identifying real-time failure profile signals, understanding how learners' responses to failure are individualized, and determining necessary changes in pedagogy and assessment to support personalized responses tolearning from failure. The research involves a multi-pronged data collection approach, including laboratory experiments using video and biosensing modalities (EEG, EDA, ECG), classroom observations, surveys, and interviews with educators and administrators. A convergent team from five institutions, with expertise in cognitive neuroscience, learning sciences, AI, and psychosocial theories of learning and development collaborate to create individualized failure profiles. These profiles will integrate multi-modal data sources to formally represent each learner’s unique cognitive, affective, and behavioral responses to failure. The project will culminate in the development of pedagogical tools and strategies to support personalized learning and resilience – increasing retention and success rates in engineering fields and pioneering a shift in engineering education towards valuing learning from failure.<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.
|
08/16/2024
|
08/16/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2432015
|
{'FirstName': 'Beshoy', 'LastName': 'Morkos', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Beshoy Morkos', 'EmailAddress': '[email protected]', 'NSF_ID': '000641109', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Georgia Research Foundation Inc', 'CityName': 'ATHENS', 'ZipCode': '306021589', 'PhoneNumber': '7065425939', 'StreetAddress': '310 E CAMPUS RD RM 409', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'GA10', 'ORG_UEI_NUM': 'NMJHD63STRC5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF GEORGIA RESEARCH FOUNDATION, INC.', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Georgia', 'CityName': 'ATHENS', 'StateCode': 'GA', 'ZipCode': '306021589', 'StreetAddress': '310 E CAMPUS RD RM 409', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'GA10'}
|
{'Code': '763300', 'Text': 'EFRI Research Projects'}
|
2024~189568
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432015.xml'}
|
AF: SMALL: Parallel Cache-efficient Data Structures
|
NSF
|
10/01/2024
|
09/30/2027
| 600,000 | 600,000 |
{'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': 'Tracy Kimbrel', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032920000'}
|
There are two main challenges when it comes to software efficiency and scalability on modern systems: taking advantage of multiple processors to get enough data to processors and keeping them occupied with work throughout the computation. The first challenge is known as parallelism, and the second one is known as I/O-efficiency or cache-efficiency. The goal of this project is to understand the power and limitations of various existing models of parallel and I/O-efficient computation and to apply the gained knowledge to discover new techniques for designing data structures that are both parallel and cache-efficient. Data structures are essential to simplifying software development and contributing to code reuse. This project will produce a number of parallel cache-efficient data structures, hence contributing to the overall goal of simplifying software design and increasing code reuse on modern high-performance systems. The project will also offer paid research training opportunities for undergraduate and graduate students. <br/><br/>To achieve this goal, the project will proceed along four main thrusts of investigation. (1) Fractional cascading is a classical data structuring technique and a multi-way distribution framework is a fundamental technique for designing I/O-efficient algorithms. The project will incorporate fractional cascading into the multi-way distribution framework, combining parallelism with I/O efficiency. (2) (Partial) persistence in a search tree allows multiple queries to be performed independently of each other despite the updates modifying the search tree between the queries. The project will develop a parallel construction of (partially) persistent B-trees, hence providing a simple way of achieving query parallelization on dynamic B-trees. (3) Amortized analysis is a powerful data structuring technique. The project will extend this technique to the parallel computational models that support I/O efficiency. (4) Finally, the project will prove a number of lower bounds for data structures in parallel and I/O-efficient models of computation, contributing to our collective understanding of the power and limitations of these models.<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
|
47.070
|
1
|
4900
|
4900
|
2432018
|
{'FirstName': 'Nodari', 'LastName': 'Sitchinava', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nodari Sitchinava', 'EmailAddress': '[email protected]', 'NSF_ID': '000666629', 'StartDate': '07/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Hawaii', 'CityName': 'HONOLULU', 'ZipCode': '968222247', 'PhoneNumber': '8089567800', 'StreetAddress': '2425 CAMPUS RD SINCLAIR RM 1', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Hawaii', 'StateCode': 'HI', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'HI01', 'ORG_UEI_NUM': 'NSCKLFSSABF2', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF HAWAII', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Hawaii', 'CityName': 'HONOLULU', 'StateCode': 'HI', 'ZipCode': '968222327', 'StreetAddress': '1680 East West Road, POST 309', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Hawaii', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'HI01'}
|
{'Code': '779600', 'Text': 'Algorithmic Foundations'}
|
2024~600000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432018.xml'}
|
Conference: Advances in probability theory and interacting particle systems
|
NSF
|
08/01/2024
|
07/31/2025
| 37,500 | 37,500 |
{'Value': 'Standard Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Tomek Bartoszynski', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924885'}
|
This award supports the conference "Advances in probability theory and interacting particle systems" that will be held from the 26th-28th of August, 2024, at Harvard University. The conference has 21 confirmed speakers in very active and fundamental areas at the intersection of probability, analysis, and mathematical physics. The main aim is the rigorous study of universal phenomena for particle systems; to explain how random microscopic systems display predictable and statistically universal collective macroscopic behaviors. Large deviations are often key to understanding such problems, especially in large dimensions. Many problems remain in explaining how initial conditions and the details of the microscopic models govern the pre-stationary behavior. Many different approaches in this area will be represented at the conference, including spin-glasses, stochastic PDEs, and random walks in random environments. It is expected that this gathering will lead to cross-fertilization between these approaches, and inspire and inform a new generation of researchers.<br/><br/>Many of the complex systems which will be discussed in this conference aim to describe real world phenomena and results proved for the mathematical models provide predictions applicable to the real systems. A key aspect of the conference proposal is centered on general methods for hydrodynamic limits and fluctuations of particle systems, in fixed or diverging dimensions. In the past, recent progress and the inclusion of new methods has shed light on many of the important questions related to the above. These include the understanding of p-spin models, a proof of the cutoff phenomena for the statistical physics models, fine asymptotics of mixing and cover times for general models, universality in random matrix theory. However, many of the original questions and conjectures remain open. Besides physical applications, complex systems (e.g., spin glasses, growth processes and random matrices) have found many applications in computer science, machine learning, data science, bioinformatics, chemistry, and even areas like ecology and earth science.<br/><br/>The website for this conference is: https://www.math.harvard.edu/event/math-conference-honoring-srinivasa-varadhan/<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.
|
07/26/2024
|
07/26/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2432024
|
[{'FirstName': 'Paul', 'LastName': 'Bourgade', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Paul Bourgade', 'EmailAddress': '[email protected]', 'NSF_ID': '000604844', 'StartDate': '07/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Kevin', 'LastName': 'Yang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin Yang', 'EmailAddress': '[email protected]', 'NSF_ID': '000867009', 'StartDate': '07/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'Harvard University', 'CityName': 'CAMBRIDGE', 'ZipCode': '021385366', 'PhoneNumber': '6174955501', 'StreetAddress': '1033 MASSACHUSETTS AVE STE 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MA05', 'ORG_UEI_NUM': 'LN53LCFJFL45', 'ORG_LGL_BUS_NAME': 'PRESIDENT AND FELLOWS OF HARVARD COLLEGE', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Harvard University', 'CityName': 'CAMBRIDGE', 'StateCode': 'MA', 'ZipCode': '021382901', 'StreetAddress': '1 Oxford Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MA05'}
|
{'Code': '126300', 'Text': 'PROBABILITY'}
|
2024~37500
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432024.xml'}
|
OCE-PRF: Constraints on sea-level change over four glacial cycles through uranium-series dating of submerged Bahamian cave deposits
|
NSF
|
04/15/2024
|
06/30/2025
| 299,181 | 63,275 |
{'Value': 'Standard Grant'}
|
{'Code': '06040000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}
|
{'SignBlockName': 'Elizabeth Rom', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927709'}
|
In recent geologic history, the Earth’s climate has fluctuated between ice ages and warm periods such as the present. These ice age cycles occur on roughly 100,000 year timescales and are marked by 100 meter-scale changes in global sea level in response to the growth and retreat of large continental ice sheets. The timing, duration, and magnitude of ice age sea-level fluctuations is largely controlled by changes in Earth’s surface temperature due to variations in the Earth’s orbit around the sun and the amount of planet-warming greenhouse gases in the atmosphere. Our understanding of the complex interactions between Earth’s orbit and greenhouse gases that drive sea-level change remains incomplete. Coastal cave deposits called speleothems provide rare, but valuable constraints on past sea-level change. Speleothems provide an upper limit on the position of the ocean surface, as they form from cavern dripwaters and cannot grow when submerged below sea level and can be precisely dated using U-Th dating or geochronology. For this project, the researcher will produce a novel, speleothem-based sea level record extending back ~400,000 years, covering the last four glacial cycles. This project will improve our understanding of the fundamental physical processes that drive sea-level change during ice age cycles and, by extension, the sea-level rise in a warming world. This is a timely topic, as “what are the rates, mechanisms, impacts and geographic variability of sea level change?” has been highlighted as one of the eight priority science questions by the National Academy of Sciences’ 2015-2025 Decadal Survey of Ocean Sciences.<br/><br/>The project will leverage an extraordinary collection of speleothems recovered from presently-submerged Bahamian coastal caves (blue holes) during the late 1980s/early 1990s at depths ranging from 4 to 77 m below present sea level. Such records are exceedingly rare, requiring many years of expensive and risky fieldwork and coordination with experience cave divers. In pursuing the project, the PI will have access to (1) the entire Bahamas collection (~117 speleothems), many of which remain undated, (2) state-of-the-art U-series analytical facilities and (3) cutting-edge microanalytical facilities available at University of Minnesota – Twin Cities (e.g., micro computed tomography [CT], electron probe microanalysis [EPMA]) to assess the physical, chemical and petrologic characteristics of growth hiatus boundaries, which is crucial for determining the precise timing of cave inundation due to sea-level rise. Finally, the results will be evaluated using GIA modelling to place the data in the broader context of global mean sea level. Taken together, this approach will greatly enhance the quality of sea-level information that can be extracted from speleothem-based archives, providing critical constraints on the timing and duration of late Pleistocene sea level change.<br/>Results will be useful to the broader Ocean Sciences community to produce robust sea-level projections to help policymakers, stakeholders and the general public in coastal communities adapt to future sea-level rise. Potential avenues for disseminating project results to the general public include outreach efforts such as the Skype a Scientist program, where the PI has an active record of participation. The PI will also partner with NOAA’s Science on a Sphere program to develop data visualizations that effectively convey key concepts of late Pleistocene sea-level change to a non-specialist audience. The PI is also committed to broadening participation in the Ocean Sciences and will partner with the hosting institution to foster an inclusive work environment and also encourage increased STEM participation from historically underrepresented groups through ongoing K-12 outreach initiatives.<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
|
47.050
|
1
|
4900
|
4900
|
2432028
|
{'FirstName': 'Peter', 'LastName': 'Chutcharavan', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peter M Chutcharavan', 'EmailAddress': '[email protected]', 'NSF_ID': '000849940', 'StartDate': '05/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Health Research Incorporated/New York State Department of Health', 'CityName': 'MENANDS', 'ZipCode': '122042732', 'PhoneNumber': '5184311200', 'StreetAddress': '150 BROADWAY, SUITE 280', 'StreetAddress2': 'RIVERVIEW CTR', 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_ORG': 'NY20', 'ORG_UEI_NUM': 'G9H6SUM59YC4', 'ORG_LGL_BUS_NAME': 'HEALTH RESEARCH, INC.', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Health Research Incorporated/New York State Department of Health', 'CityName': 'MENANDS', 'StateCode': 'NY', 'ZipCode': '122042732', 'StreetAddress': '150 BROADWAY, SUITE 280', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_PERF': 'NY20'}
|
{'Code': '820500', 'Text': 'OCE Postdoctoral Fellowships'}
|
2022~63275
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432028.xml'}
|
Conference: Community-Informed Policies and Best-Practices for the National Artificial Intelligence Research Resource Pilot
|
NSF
|
06/01/2024
|
11/30/2024
| 99,844 | 99,844 |
{'Value': 'Standard Grant'}
|
{'Code': '05090000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'OAC', 'LongName': 'Office of Advanced Cyberinfrastructure (OAC)'}}
|
{'SignBlockName': 'Rob Beverly', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927068'}
|
An in-person workshop of leading experts in responsible AI technology and policy will be convened, to obtain community feedback regarding policies and best practices, and inform the development of priorities and policies for the National AI Research Resource (NAIRR) Pilot. By convening a diverse group of stakeholders to offer their perspectives, the workshop will deliver concrete recommendations for improving the trustworthiness of the resources that are components of the Pilot, and for supporting the equitable use of these resources by a diverse group of researchers and students.<br/><br/>A crucial part of the workshop is the involvement of the cyberinfrastructure community, since the technical fundamentals that support AI governance (e.g., data and model documentation across the lifecycle, responsible data generation and sharing primitives, and instrumentation of data-intensive AI workflows for reproducibility and robustness) must be implemented as part of the infrastructure. Embedding transparency and equity objectives into the design of cyberinfrastructure, in support of effective AI governance, will benefit individual scientific projects, the research community, and society at large, with impacts far beyond the NAIRR Pilot.<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
|
47.070
|
1
|
4900
|
4900
|
2432040
|
{'FirstName': 'Julia', 'LastName': 'Stoyanovich', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Julia Stoyanovich', 'EmailAddress': '[email protected]', 'NSF_ID': '000624075', 'StartDate': '05/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'New York University', 'CityName': 'NEW YORK', 'ZipCode': '100121019', 'PhoneNumber': '2129982121', 'StreetAddress': '70 WASHINGTON SQ S', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'NY10', 'ORG_UEI_NUM': 'NX9PXMKW5KW8', 'ORG_LGL_BUS_NAME': 'NEW YORK UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'New York University', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100121019', 'StreetAddress': '70 WASHINGTON SQ S', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'NY10'}
|
{'Code': '296Y00', 'Text': 'NAIRR-Nat AI Research Resource'}
|
2024~99844
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432040.xml'}
|
Collaborative Research: SaTC: CORE: Small: Identifying the Demographic Representativeness of Social Media Polls
|
NSF
|
07/15/2024
|
06/30/2026
| 287,867 | 287,867 |
{'Value': 'Standard Grant'}
|
{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}
|
{'SignBlockName': 'Sara Kiesler', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928643'}
|
Social media platforms see a surge of user-created polls, known as social polls, which gauge social media users’ opinions for various societal issues. These polls are not scientific and often exhibit biases favoring particular poll responses. Such polls can mislead the public into believing these biased outcomes reflect true public opinion. Every month, well over a million social polls are created on social media. However, these biased polls can give a misleading impression about what the public believes. Given the rising popularity of social media polls, it is crucial to address their potential to distort people’s perception of public opinion. This project aims to investigate and mitigate the harmful effects of biased social polls by identifying the biases, studying their prevalence and dissemination, examining potential harms, and developing corrective measures. These efforts will help maintain the integrity of public opinion perception.<br/><br/>This project is pursuing three key goals. First, the project is identifying publicly visible social polls that misrepresent public opinion and evaluating the level of bias reflected in those polls by analyzing the demographic characteristics of social media users engaging with them. Second, the project is examining the prevalence and uses of such polls. Third, the project is developing a novel algorithmic method for correcting demographic biases in social polls via regression and post-stratification based on inferred attributes of users interacting with the polls. Finally, the project is experimentally assessing the effects of exposure to biased and bias-corrected poll outcomes on public opinion perception. To achieve these goals, the project is analyzing data from polls published publicly on social media, comparing the results of this analysis with the results of traditional polls, and conducting survey experiments to assess the impact of social polls on individuals. The project will significantly contribute to understanding and mitigating the impact of biased social polls on the public.<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.
|
07/12/2024
|
07/12/2024
|
None
|
Grant
|
47.075
|
1
|
4900
|
4900
|
2432050
|
[{'FirstName': 'Brendan', 'LastName': "O'Connor", 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': "Brendan T O'Connor", 'EmailAddress': '[email protected]', 'NSF_ID': '000703500', 'StartDate': '07/12/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Przemyslaw', 'LastName': 'Grabowicz', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Przemyslaw A Grabowicz', 'EmailAddress': '[email protected]', 'NSF_ID': '000797094', 'StartDate': '07/12/2024', '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': '101 COMMONWEALTH AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'MA02'}
|
{'Code': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}
|
2024~287867
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432050.xml'}
|
Collaborative Research: SaTC: CORE: Small: Identifying the Demographic Representativeness of Social Media Polls
|
NSF
|
07/15/2024
|
06/30/2026
| 105,524 | 105,524 |
{'Value': 'Standard Grant'}
|
{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}
|
{'SignBlockName': 'Sara Kiesler', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928643'}
|
Social media platforms see a surge of user-created polls, known as social polls, which gauge social media users’ opinions for various societal issues. These polls are not scientific and often exhibit biases favoring particular poll responses. Such polls can mislead the public into believing these biased outcomes reflect true public opinion. Every month, well over a million social polls are created on social media. However, these biased polls can give a misleading impression about what the public believes. Given the rising popularity of social media polls, it is crucial to address their potential to distort people’s perception of public opinion. This project aims to investigate and mitigate the harmful effects of biased social polls by identifying the biases, studying their prevalence and dissemination, examining potential harms, and developing corrective measures. These efforts will help maintain the integrity of public opinion perception.<br/><br/>This project is pursuing three key goals. First, the project is identifying publicly visible social polls that misrepresent public opinion and evaluating the level of bias reflected in those polls by analyzing the demographic characteristics of social media users engaging with them. Second, the project is examining the prevalence and uses of such polls. Third, the project is developing a novel algorithmic method for correcting demographic biases in social polls via regression and post-stratification based on inferred attributes of users interacting with the polls. Finally, the project is experimentally assessing the effects of exposure to biased and bias-corrected poll outcomes on public opinion perception. To achieve these goals, the project is analyzing data from polls published publicly on social media, comparing the results of this analysis with the results of traditional polls, and conducting survey experiments to assess the impact of social polls on individuals. The project will significantly contribute to understanding and mitigating the impact of biased social polls on the public.<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.
|
07/12/2024
|
07/12/2024
|
None
|
Grant
|
47.075
|
1
|
4900
|
4900
|
2432051
|
{'FirstName': 'JungHwan', 'LastName': 'Yang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'JungHwan Yang', 'EmailAddress': '[email protected]', 'NSF_ID': '000810746', 'StartDate': '07/12/2024', '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': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}
|
2024~105524
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432051.xml'}
|
Collaborative Research: SaTC: CORE: Small: Identifying the Demographic Representativeness of Social Media Polls
|
NSF
|
07/15/2024
|
06/30/2026
| 6,484 | 6,484 |
{'Value': 'Standard Grant'}
|
{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}
|
{'SignBlockName': 'Sara Kiesler', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928643'}
|
Social media platforms see a surge of user-created polls, known as social polls, which gauge social media users’ opinions for various societal issues. These polls are not scientific and often exhibit biases favoring particular poll responses. Such polls can mislead the public into believing these biased outcomes reflect true public opinion. Every month, well over a million social polls are created on social media. However, these biased polls can give a misleading impression about what the public believes. Given the rising popularity of social media polls, it is crucial to address their potential to distort people’s perception of public opinion. This project aims to investigate and mitigate the harmful effects of biased social polls by identifying the biases, studying their prevalence and dissemination, examining potential harms, and developing corrective measures. These efforts will help maintain the integrity of public opinion perception.<br/><br/>This project is pursuing three key goals. First, the project is identifying publicly visible social polls that misrepresent public opinion and evaluating the level of bias reflected in those polls by analyzing the demographic characteristics of social media users engaging with them. Second, the project is examining the prevalence and uses of such polls. Third, the project is developing a novel algorithmic method for correcting demographic biases in social polls via regression and post-stratification based on inferred attributes of users interacting with the polls. Finally, the project is experimentally assessing the effects of exposure to biased and bias-corrected poll outcomes on public opinion perception. To achieve these goals, the project is analyzing data from polls published publicly on social media, comparing the results of this analysis with the results of traditional polls, and conducting survey experiments to assess the impact of social polls on individuals. The project will significantly contribute to understanding and mitigating the impact of biased social polls on the public.<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.
|
07/12/2024
|
07/12/2024
|
None
|
Grant
|
47.075
|
1
|
4900
|
4900
|
2432052
|
{'FirstName': 'Filippo', 'LastName': 'Menczer', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Filippo Menczer', 'EmailAddress': '[email protected]', 'NSF_ID': '000490125', 'StartDate': '07/12/2024', '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': '474013654', 'StreetAddress': '509 E 3rd Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'IN09'}
|
{'Code': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}
|
2024~6484
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432052.xml'}
|
Travel: NSF Student Travel Grant for 2024 IEEE Secure Development (SecDev) Conference
|
NSF
|
07/15/2024
|
06/30/2025
| 18,000 | 18,000 |
{'Value': 'Standard Grant'}
|
{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}
|
{'SignBlockName': 'Dan Cosley', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928832'}
|
This award will fund about 15 U.S.-based graduate students for attending the 2024 IEEE Secure Development (SecDev) conference from October 7-10, 2024 in Pittsburgh, PA. Research on software security usually focuses on detecting vulnerabilities in software and attacks on resources. However, there is little attention to how programmers can develop secure software from the ground up. The SecDev conference aims to continue its mission of providing a forum where researchers, practitioners, and decision makers can meet to discuss ideas that focus on building security into deployed systems, on topics including development libraries, tools, or processes to produce systems resilient to certain attacks; formal foundations that underpin a language, tool, or testing strategy that improves security; techniques that improve the scalability of security solutions for practical deployment; and experience, designs, or applications showing how to apply cryptographic techniques effectively to secure systems. This award will fund high-quality students who would otherwise not be able to participate in this event. Student participation in SecDev has a number of benefits, allowing them to meet with researchers and leaders in the community to advance both their on-going research and their career development. <br/><br/>Student participation also serves larger goals of widening the talent pool of professionals and researchers focused on addressing challenges of developing critical secure systems and services. To this end, the conference will widely advertise the availability of support for students who need funding to attend, to increase the diversity of personal and institutional backgrounds of potential attendees. Students will be selected based on the quality and fit of their research to the goals of the conference, their financial need, and the benefit they are likely to gain from attending; the selection committee will also ensure that students from a wide range of institutions can participate in the conference.<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.
|
07/14/2024
|
07/14/2024
|
None
|
Grant
|
47.070
|
1
|
4900
|
4900
|
2432059
|
{'FirstName': 'Kyungtae', 'LastName': 'Kim', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kyungtae Kim', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A033D', 'StartDate': '07/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Dartmouth College', 'CityName': 'HANOVER', 'ZipCode': '037552170', 'PhoneNumber': '6036463007', 'StreetAddress': '7 LEBANON ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Hampshire', 'StateCode': 'NH', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NH02', 'ORG_UEI_NUM': 'EB8ASJBCFER9', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF DARTMOUTH COLLEGE', 'ORG_PRNT_UEI_NUM': 'T4MWFG59C6R3'}
|
{'Name': 'Dartmouth College', 'CityName': 'HANOVER', 'StateCode': 'NH', 'ZipCode': '037552170', 'StreetAddress': '7 LEBANON ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Hampshire', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NH02'}
|
{'Code': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}
|
2024~18000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432059.xml'}
|
Nonadiabatic Molecular Dynamics and Kinetics with Dynamical Ligand Field
|
NSF
|
08/01/2024
|
07/31/2027
| 446,328 | 446,328 |
{'Value': 'Standard Grant'}
|
{'Code': '03090000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'CHE', 'LongName': 'Division Of Chemistry'}}
|
{'SignBlockName': 'Richard Dawes', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927486'}
|
Sergey Varganov of the University of Nevada, Reno is supported by an award from the Chemical Theory, Models and Computational Methods program in the Division of Chemistry to develop a novel computational methodology to simulate the behavior of lanthanide-containing molecules after their exposure to light. The Varganov group will implement a very computationally efficient way to describe electron distribution in lanthanide-containing molecules, called a dynamic ligand field (DLF) method. The DLF method will be coupled with nonadiabatic molecular dynamics (NAMD), a state-of-the-art technique to simulate the combined motions of electrons and nuclei in molecules. The resulting NAMD-DLF methodology will be used to model how the energy of absorbed light is distributed between the electrons and nuclei and how the efficiency of spontaneous light emission in lanthanide-containing molecules is affected by molecular vibrations. The ability to accurately predict light emission efficiency is critical in designing new molecules for solar energy conversion, medical imaging, and optical telecommunication. As part of the broader impact, Varganov will use the 3D-printed potential energy surfaces describing nuclei motions in molecules to enhance the quality of instruction in chemistry courses by providing visual demonstrations of complex chemistry concepts. <br/><br/>Sergey Varganov will develop a NAMD methodology based on an extremely computationally efficient ab initio DLF theory to simulate nonadiabatic dynamics in lanthanide complexes on an unprecedentedly long time scale. The direct multiple spawning NAMD will be coupled with the DLF method parametrized using ab initio electronic structure calculations. The specific objectives are 1) develop a novel DLF method capable of accounting for both ionic and covalent contributions to metal-ligand bonds at equilibrium and non-equilibrium molecular geometries, 2) implement NAMD-DLF with analytical nonadiabatic coupling and energy gradients, and 3) apply new NAMD-DLF to elucidate complex mechanisms of nonradiative relaxation responsible for luminescence quenching in lanthanide complexes. This project will support the continued use and expansion of the set of 3D-printed potential energy surfaces (PES) to enhance the quality of instruction in chemistry courses and the effectiveness and impact of outreach programs by providing simple visual demonstrations of complex chemistry concepts, such as a transition state, a minimum energy reaction path, and the relation between the PES curvature and vibrational frequencies. The proposed visits of Prof. Chibotaru, a world’s leading expert on electronic structure and properties of lanthanide compounds, will facilitate the professional development and training of graduate students and postdoctoral scholars in Nevada, which is an EPSCoR state.<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.
|
07/26/2024
|
07/26/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2432062
|
{'FirstName': 'Sergey', 'LastName': 'Varganov', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sergey A Varganov', 'EmailAddress': '[email protected]', 'NSF_ID': '000629200', 'StartDate': '07/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Board of Regents, NSHE, obo University of Nevada, Reno', 'CityName': 'RENO', 'ZipCode': '895570001', 'PhoneNumber': '7757844040', 'StreetAddress': '1664 N VIRGINIA ST # 285', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Nevada', 'StateCode': 'NV', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NV02', 'ORG_UEI_NUM': 'WLDGTNCFFJZ3', 'ORG_LGL_BUS_NAME': 'BOARD OF REGENTS OF THE NEVADA SYSTEM OF HIGHER ED', 'ORG_PRNT_UEI_NUM': 'WLDGTNCFFJZ3'}
|
{'Name': 'Board of Regents, NSHE, obo University of Nevada, Reno', 'CityName': 'RENO', 'StateCode': 'NV', 'ZipCode': '895570001', 'StreetAddress': '1664 N VIRGINIA ST # 285', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Nevada', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NV02'}
|
{'Code': '688100', 'Text': 'Chem Thry, Mdls & Cmptnl Mthds'}
|
2024~446328
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432062.xml'}
|
Conference: Research Data Management Education Summit (RDMES)
|
NSF
|
10/01/2024
|
12/31/2025
| 50,000 | 50,000 |
{'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': 'Mary Feeney', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927197'}
|
The Research Data Management Education Summit brings together leading educators across domains to increase the quality of Research Data Management education. Research Data Management is a fundamental skill for today’s scientists with data central to new discoveries and the progress of science. The preservation, security, access, and reuse, of research data requires professionals equipped to facilitate the tasks to protect the investment of data collection and increase its value through better access. The Summit advances the field by reviewing existing courses and programs across disciplines and delivering a curricular roadmap focused on the most vital knowledge, skills, and abilities for Research Data Management. A more standardized education benefits all fields and society to best prepare the research data professionals who build, operate, and maintain the U.S. research cyberinfrastructure.<br/><br/>The Summit participants include leading professionals and educators training the next generation of professionals supporting Research Data Management. Research Data Management focuses on all stages of the data lifecycle, including data planning, collection, description, access, use, preservation, secure destruction where required, sharing, and reuse of research data. These research data professionals are essential as funding agencies, publishers and industry move towards more open science and increased artificial intelligence readiness for data that aligns with the FAIR and CARE Data Principles. Workshop attendees actively participate in sessions throughout a day dedicated to improving the consistency and quality of Research Data Management education. The event includes activities related to a review of existing educational materials and approaches as well as the creation of a curricular roadmap, including courses and competencies.<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.
|
08/16/2024
|
08/16/2024
|
None
|
Grant
|
47.070
|
1
|
4900
|
4900
|
2432080
|
{'FirstName': 'Bradley', 'LastName': 'Bishop', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bradley W Bishop', 'EmailAddress': '[email protected]', 'NSF_ID': '000674509', 'StartDate': '08/16/2024', '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': '741400', 'Text': 'NSF Public Access Initiative'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432080.xml'}
|
I-Corps: Translation Potential of a Fuel-Flexible Combustion Technology
|
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 based on the development of a sustainable approach for resilient energy generation that promotes better waste treatment. The technology is based on liquid-fueled combustion with near-zero emissions, high fuel flexibility and operational capability. The patented fuel-flexible injector/mixer technology can be utilized in other combustion systems such as gas turbines, microturbines, furnaces for clean and resilient energy generation, and propulsion. The Environmental Protection Agency (EPA)-identified 951 operational and potential landfill gas to energy systems in the U.S. Through this technology, additional jobs and taxes will be generated to benefit the economy and simultaneously relieve the waste management burden.<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 that enables clean landfill flares and clean waste-to-energy (WtE) with high fuel flexibility, near-zero emissions, high resilience, and minimal processing. The technology simultaneously generates cost-effective resilient energy and eases the waste treatment burden. The solution can also be broadly used in various combustion systems for clean and resilient power and propulsion. This technology enables energy resilience and weather resistance due to the high fuel flexibility of the novel fuel injectors/mixers with fundamentally different atomization mechanisms, as well as complete combustion of the landfill gas (LFG) flare and waste-based biofuels to realize zero-carbon emissions that are closed-carbon cycle and ultra-clean.<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
|
2432108
|
{'FirstName': 'Lulin', 'LastName': 'Jiang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lulin Jiang', 'EmailAddress': '[email protected]', 'NSF_ID': '000723384', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Baylor University', 'CityName': 'WACO', 'ZipCode': '767061003', 'PhoneNumber': '2547103817', 'StreetAddress': '700 S UNIVERSITY PARKS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_ORG': 'TX17', 'ORG_UEI_NUM': 'C6T9BYG5EYX5', 'ORG_LGL_BUS_NAME': 'BAYLOR UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Baylor University', 'CityName': 'WACO', 'StateCode': 'TX', 'ZipCode': '767061003', 'StreetAddress': '700 S UNIVERSITY PARKS DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_PERF': 'TX17'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432108.xml'}
|
Conference: Detection, removal, and safe destruction of PFAS from semiconductor manufacturing waste streams
|
NSF
|
08/01/2024
|
01/31/2025
| 99,000 | 99,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Sumanta Acharya', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924509'}
|
Per-and polyfluoroalkyl substances (PFAS) have been a key part of semiconductor manufacturing due to their unique physical and chemical properties. PFAS are currently essential for processes including photolithography and etching, and are used as auxiliary fluids in pumps and lubricants. While there are efforts to find alternatives for fluorochemicals, their unique physicochemical properties make replacement difficult. As such, PFAS use in semiconductor manufacturing currently poses a challenge for balancing supply-chain security and environmental sustainability. The current workshop is proposed to provide a platform for experts to identify, discuss, and prioritize topics of urgent concern for the detection, removal, and safe destruction of PFAS from semiconductor manufacturing streams. A key goal of this workshop will be to identify the research needs for PFAS treatment that are unique to the semiconductor industry and provide a roadmap for future PFAS treatment technologies to ensure environmental sustainability. <br/><br/>By bringing experts from academia, industry, and national agencies, the workshop aims to cover three critical areas for PFAS abatement: (i) discuss and review analytical methods to characterize the PFAS-containing materials used in the semiconductor industry and detect the releases of PFAS in the waste streams, (ii) brainstorm and create roadmaps to guide the cost-effective and low-energy technologies for PFAS removal and separation in semiconductor waste streams, especially short-chain PFAS, and (iii) provide insights into the future opportunities and challenges for energy-efficient and cost-effective PFAS destruction methods. The proposed workshop will support education and awareness on PFAS as well as provide insights into PFAS related issues in semiconductor manufacturing. Products from the workshop will have a clear impact on environmental sustainability and water quality through addressing an urgent topic of PFAS abatement in a critical manufacturing industry.<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.
|
07/18/2024
|
07/18/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2432110
|
{'FirstName': 'Xiao', 'LastName': 'Su', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiao Su', 'EmailAddress': '[email protected]', 'NSF_ID': '000799868', 'StartDate': '07/18/2024', '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': '144000', 'Text': 'EnvE-Environmental Engineering'}
|
2024~99000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432110.xml'}
|
Travel: Fellowships for Students from U.S. Universities to Attend ISWC 2024
|
NSF
|
07/01/2024
|
12/31/2024
| 20,000 | 20,000 |
{'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': 'Cornelia Caragea', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922706'}
|
This travel award will fund up to 15 United States-based students attending the 23rd International Semantic Web Conference (ISWC 2024), held in Maryland, US from November 11 to 15, 2024. ISWC is the premier international forum for state-of-the-art research on all aspects of the Semantic Web, knowledge graphs, and their intersection with other domains. Student Fellowships will help cover the travel costs for United States students, making it possible for them to attend the conference and discuss and disseminate their work. They will also provide an opportunity for them to interact with future national and international scientific collaborators.<br/><br/>The International Semantic Web Conference, which is now in its 23rd year, is an interdisciplinary conference that includes work on Data Management, Natural Language Processing, Knowledge Representation, and Reasoning, Ontologies and Ontology Languages, Semantic Web Engineering, Linked Data, User Interfaces, and Applications. It regularly has several hundred attendees. In addition to the main technical tracks, the conference includes a variety of events that provide opportunities for more in-depth interaction amongst researchers at different institutions who are at various stages of their research careers, and researchers who are interested in many different aspects of Semantic Web Research. Students benefit from the Doctoral Consortium - a full day event where students can get critical, but encouraging, feedback on their work from senior members of the community. They also benefit from the career mentoring lunch, where experienced members of the community from both academia and industry answer questions in an informal setting. For further information see the conference web site at: https://iswc2024.semanticweb.org/.<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.
|
05/29/2024
|
05/29/2024
|
None
|
Grant
|
47.070
|
1
|
4900
|
4900
|
2432111
|
[{'FirstName': 'Roberto', 'LastName': 'Yus', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Roberto Yus', 'EmailAddress': '[email protected]', 'NSF_ID': '000941068', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Karuna', 'LastName': 'Joshi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Karuna Joshi', 'EmailAddress': '[email protected]', 'NSF_ID': '000643548', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University of Maryland Baltimore County', 'CityName': 'BALTIMORE', 'ZipCode': '212500001', 'PhoneNumber': '4104553140', 'StreetAddress': '1000 HILLTOP CIR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MD07', 'ORG_UEI_NUM': 'RNKYWXURFRL5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND BALTIMORE COUNTY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Maryland Baltimore County', 'CityName': 'BALTIMORE', 'StateCode': 'MD', 'ZipCode': '212500001', 'StreetAddress': '1000 HILLTOP CIR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MD07'}
|
{'Code': '736400', 'Text': 'Info Integration & Informatics'}
|
2024~20000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432111.xml'}
|
Collaborative Research: AF: SaTC: Medium: Theoretical Foundations of Lattice-Based Cryptography
|
NSF
|
01/15/2024
|
09/30/2027
| 600,000 | 290,995 |
{'Value': 'Continuing Grant'}
|
{'Code': '05010000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}
|
{'SignBlockName': 'Peter Brass', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922182'}
|
Lattices are geometric objects that have many applications in computer science, and especially to the design of secure cryptography. Such lattice-based cryptography has many attractive properties including its apparent security even against adversaries equipped with quantum computers (being "post-quantum") and its usefulness in constructing advanced primitives, including Fully Homomorphic Encryption (FHE), which allows for "computing on encrypted data." Based on this, the National Institute of Standards and Technology (NIST) recently selected several lattice-based cryptosystems for standardization as part of their years-long post-quantum cryptography standardization process. As lattice-based cryptosystems will be in widespread use in the near future, it is especially urgent to understand the complexity (security) of the problems that underlie them.<br/><br/>This project has three primary research goals. First, the project seeks to better understand the fine-grained complexity of lattice problems, i.e., the precise running time necessary to solve the computational problems underlying lattice-based cryptosystems. This work will ideally lead to a better understanding of the practical security of these cryptosystems. Second, this project will study connections between lattices and error-correcting codes, which have many similarities to lattices and are important and well-studied objects in their own right. Third, this project will study the complexity of problems on algebraically structured lattices. Cryptosystems based on these lattices---which include most practical cryptosystems, including those recently selected for standardization by NIST---are generally much more efficient, but much less is known about the complexity of the problems that underlie them. In addition to these main research goals, the investigators will write a comprehensive, freely available textbook about lattices in computer science. In particular, this book will cover algorithmic, complexity-theoretic, cryptographic, and geometric aspects of lattices in detail.<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
|
47.049, 47.070
|
1
|
4900
|
4900
|
2432132
|
{'FirstName': 'Huxley', 'LastName': 'Bennett', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Huxley Bennett', 'EmailAddress': '[email protected]', 'NSF_ID': '000915406', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Colorado at Boulder', 'CityName': 'Boulder', 'ZipCode': '803090001', 'PhoneNumber': '3034926221', 'StreetAddress': '3100 MARINE ST', 'StreetAddress2': 'STE 481 572 UCB', 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CO02', 'ORG_UEI_NUM': 'SPVKK1RC2MZ3', 'ORG_LGL_BUS_NAME': 'THE REGENTS OF THE UNIVERSITY OF COLORADO', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Colorado at Boulder', 'CityName': 'Boulder', 'StateCode': 'CO', 'ZipCode': '803090001', 'StreetAddress': '3100 MARINE ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CO02'}
|
[{'Code': '779600', 'Text': 'Algorithmic Foundations'}, {'Code': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}]
|
2023~290995
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432132.xml'}
|
Collaborative Research: Computational Methods for Optimal Transport via Fluid Flows
|
NSF
|
05/15/2024
|
06/30/2025
| 86,476 | 56,877 |
{'Value': 'Continuing Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Yuliya Gorb', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922113'}
|
Transport and mixing in fluids is a topic of fundamental interest in engineering and natural sciences, with broad applications ranging from industrial and chemical mixing on small and large scales, to preventing the spreading of pollutants in geophysical flows. This project focuses on computational methods for control of optimal transport and mixing of some quantity of interest in fluid flows. The question of what fluid flow maximizes mixing rate, slows it down, or even steers a quantity of interest toward a desired target distribution draws great attention from a broad range of scientists and engineers in the area of complex dynamical systems. The goal of this project is to place these problems within a flexible computational framework, and to develop a solution strategy based on optimal control tools, data compression strategies, and methods to reduce the complexity of the mathematical models. This project will also help the training and development of graduate students across different disciplines to conduct collaborative research in optimal transport and mixing, flow control, and computational methods for solving these problems.<br/><br/><br/>The project is concerned with the development and analysis of numerical methods for optimal control for mixing in fluid flows. More precisely, the transport equation is used to describe the non-dissipative scalar field advected by the incompressible Stokes and Navier-Stokes flows. The research aims at achieving optimal mixing via an active control of the flow velocity and constructing efficient numerical schemes for solving this problem. Various control designs will be investigated to steer the fluid flows. Sparsity of the optimal boundary control will be promoted via a non-smooth penalty term in the objective functional. This essentially leads to a highly challenging nonlinear non-smooth control problem for a coupled parabolic and hyperbolic system, or a semi-dissipative system. The project will establish a novel and rigorous mathematical framework and also new accurate and efficient computational techniques for these difficult optimal control problems. Compatible discretization methods for coupled flow and transport will be employed to discretize the controlled system and implement the optimal control designs numerically. Numerical schemes for the highly complicated optimality system will be constructed and analyzed in a systematic fashion. New incremental data compression techniques will be utilized to avoid storing extremely large solution data sets in the iterative solvers, and new model order reduction techniques specifically designed for the optimal mixing problem will be developed to increase efficiency. The synthesis of optimal control and numerical approximation will enable the study of similar phenomena arising in many other complex and real-world flow dynamics.<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
|
05/17/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2432134
|
{'FirstName': 'Yangwen', 'LastName': 'Zhang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yangwen Zhang', 'EmailAddress': '[email protected]', 'NSF_ID': '000793569', 'StartDate': '05/17/2024', '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': '127100', 'Text': 'COMPUTATIONAL MATHEMATICS'}
|
['2022~27376', '2023~29501']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432134.xml'}
|
Conference: Interagency Analysis and Modeling Group/Multiscale Modeling Consortium (IMAG/MSM) Meeting on Operationalizing the NASEM Report on Digital Twins
|
NSF
|
08/15/2024
|
07/31/2025
| 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': 'Troy D. Butler', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922084'}
|
On December 15, 2023, The National Academies of Sciences, Engineering and Medicine (NASEM) released a report entitled: “Foundational Research Gaps and Future Directions for Digital Twins” (“NASEM DT REPORT”). The purpose of this report was to bring structure to the burgeoning field of digital twins by providing a working definition and a series of research challenges that need to be addressed to allow this technology to fulfill its full potential. The concept of digital twins is compelling and has the potential to impact a broad range of domains. For instance, digital twins have either been proposed or are currently being developed for manufactured devices, buildings, cities, ecologies and the Earth as a whole. It is natural that the concept be applied to biology and medicine, as the most recognizable concept of a “twin” is that of identical human twins. The application of digital twins to biomedicine also follows existing trends of Personalized and Precision medicine, in short: “the right treatment for the right person at the right time.” Fulfilling the promise of biomedical digital twins will require multidisciplinary Team Science that brings together various experts from fields as diverse as medicine, computer science, engineering, biological research, advanced mathematics and ethics. The purpose of this conference, the “2024 Interagency Modeling and Analysis Group (IMAG)/Multiscale Modeling (MSM) Consortium Meeting: Setting up Teams for Biomedical Digital Twins,” is to do exactly this: bringing together such needed expertise in a series of teaming exercises to operationalize the findings of the NASEM DT REPORT in the context of biomedical digital twins. As part of outreach and training efforts to broaden the participation within this growing field, this workshop will provide support for both traditionally under-represented categories of senior researchers as well as junior researchers such as graduate students and postdoctoral researchers. <br/><br/>Facilitating the development and deployment of biomedical digital twins requires operationalizing the findings and recommendations of the NASEM DT REPORT, which raises a series of specific and unique challenges in the biomedical domain. More specifically, there are numerous steps that need to be taken to convert the highly complex simulation models of biological processes developed by members of the MSM Consortium into biomedical digital twins that are compliant with the definition of digital twins presented in the NASEM DT REPORT. There are also identified challenges associated with these various steps. Some of these challenges can benefit from lessons learned in other domains that have developed digital twins while others will require the development of new techniques in the fields of statistics, computational mathematics and mathematical biology. This task will require multidisciplinary collaborations between mathematicians, computational researchers, experimental biologists and clinicians. This IMAG/MSM meeting will promote the concepts of Team Science to bring together experienced multiscale modeling researchers and experts from the mathematical, statistical, computational, experimental and clinical communities to form the multidisciplinary teams needed to operationalize the findings of the NASEM DT REPORT. The website for this meeting is at https://www.imagwiki.nibib.nih.gov/news-events/announcements/2024-imagmsm-meeting-september-30-october-2-2024, with the landing page for the Interagency Modeling and Analysis Group at https://www.imagwiki.nibib.nih.gov/.<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.
|
08/02/2024
|
08/02/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2432168
|
{'FirstName': 'Gary', 'LastName': 'An', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gary C An', 'EmailAddress': '[email protected]', 'NSF_ID': '000501610', 'StartDate': '08/02/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Vermont & State Agricultural College', 'CityName': 'BURLINGTON', 'ZipCode': '054051704', 'PhoneNumber': '8026563660', 'StreetAddress': '85 S PROSPECT STREET', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Vermont', 'StateCode': 'VT', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'VT00', 'ORG_UEI_NUM': 'Z94KLERAG5V9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF VERMONT & STATE AGRICULTURAL COLLEGE', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Vermont & State Agricultural College', 'CityName': 'BURLINGTON', 'StateCode': 'VT', 'ZipCode': '054051704', 'StreetAddress': '85 S PROSPECT STREET', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Vermont', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'VT00'}
|
[{'Code': '126900', 'Text': 'STATISTICS'}, {'Code': '127100', 'Text': 'COMPUTATIONAL MATHEMATICS'}, {'Code': '733400', 'Text': 'MATHEMATICAL BIOLOGY'}]
|
2024~30000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432168.xml'}
|
Ignition and Flame Speed Characteristics of Hydrotreated Vegetable Oil/Air/Exhaust Gas Mixtures
|
NSF
|
08/01/2024
|
07/31/2027
| 339,497 | 339,497 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Harsha Chelliah', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927281'}
|
Growing concerns over global warming have necessitated a reduction in greenhouse gas emissions and have led to an increased focus on biofuels. One promising second-generation biofuel that overcomes many of the hurdles associated with first-generation biofuels (cost, food competition, environmental impact, etc.) is hydrotreated vegetable oil. Hydrotreated vegetable oil can be produced from many plant-based oils such as soybean, sunflower, palm and even waste cooking oil and can be used directly as a drop-in replacement for diesel in engine applications. Drop-in hydrotreated vegetable oil can enable particulate, hydrocarbon and carbon monoxide emission reductions of near 50%. A more thorough understanding of fundamental combustion properties will enable improved numerical simulations of hydrotreated vegetable oil combustion in the engine design and optimization stage. It is important to understand the flame reactivity, flame stability, and combustion stability for hydrotreated vegetable oil/air flames. This project will also benefit society by introducing the next generation of engineers to engineering research concepts in the areas of energy and combustion through Michigan State University’s K-12 outreach programs, including Girl’s STEM Day and engineering summer camps for under-represented groups in science and engineering.<br/><br/>The overall goal of this project is to advance the understanding of combustion and flame characteristics of hydrotreated vegetable oil/air/exhaust gas flames with an emphasis on conditions that occur in diesel engines. The proposed research will investigate the ignition and combustion chemical kinetics of hydrotreated vegetable oil/air/exhaust gas mixtures in a rapid compression machine. In addition, laminar flame speeds and Markstein lengths of the mixtures will be measured in a constant volume combustion vessel. The proposed autoignition and laminar flame speed experiments will enable an increased understanding of hydrotreated vegetable oil combustion that will contribute to safe and efficient hydrotreated vegetable oil operation for a cleaner environment. The educational plan will have broad impacts on teaching the next generation of engineers through three main activities including (1) the introduction of engineering research concepts in the areas of energy and combustion to the general public through K-12 outreach programs (2) the integration of research and education into an undergraduate and graduate combustion course through a combination of lectures, laboratory sessions and chemical kinetic simulations, and (3) providing training and research experiences for graduate and undergraduate students in the area of combustion and energy 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.
|
07/30/2024
|
07/30/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2432174
|
{'FirstName': 'Elisa', 'LastName': 'Toulson', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elisa Toulson', 'EmailAddress': '[email protected]', 'NSF_ID': '000612380', 'StartDate': '07/30/2024', 'EndDate': None, 'RoleCode': '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': '488246206', 'StreetAddress': 'ENGR RSCH COMPLEX, 1497 ENGINEERING RESEARCH CT ROOM E143', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MI07'}
|
{'Code': '140700', 'Text': 'CFS-Combustion & Fire Systems'}
|
2024~339497
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432174.xml'}
|
CIVIC-PG Track B: Integrating Drone Delivery of AEDs Into EMS Response (IN-AIR) Study
|
NSF
|
10/01/2024
|
03/31/2025
| 74,970 | 74,970 |
{'Value': 'Standard Grant'}
|
{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}
|
{'SignBlockName': 'Vishal Sharma', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928950'}
|
An estimated 350,000 individuals experience out-of-hospital cardiac arrest (OHCA) in the United States (US) annually; only ~10% survive. For every minute that passes without cardiopulmonary resuscitation (CPR) and defibrillation, survival likelihood decreases by 10%. Survival is most likely when CPR and defibrillation occur within 5 minutes, but the median emergency medical services (EMS) arrival time in the US is 8 minutes and is far longer in rural areas. Drones have the potential to decrease AED delivery time, especially in the ~80% of OHCAs that occur in the home, and especially in rural areas. Our prior work has shown that a statewide drone network could decrease median AED arrival time from 7.7 to 2.7 minutes in North Carolina (NC) and double survival rates (24.5% v. 12.3%). However, EMS-integrated AED-drones have not been evaluated in the US. Our study will evaluate an innovative application of drone technology using a multidisciplinary approach in a real-world environment in rural, residential, and urban areas of NC.<br/><br/>Using a multidisciplinary approach in a real-world environment in rural, residential, and urban areas of NC, we propose to evaluate the feasibility and time savings of integrating an AED-drone delivery system into an existing EMS dispatch/9-1-1 telecommunication system. This fully integrated drone-AED-EMS system will be ready to respond to suspected OHCA cases in the field and augment traditional ground transport. We will also evaluate EMS readiness to implement a statewide AED-drone network across NC. Finally, we aim—for the first time in NC and possibly the US—to dispatch an AED-drone to a live OHCA via an EMS-integrated system. <br/><br/>This project is in response to the Civic Innovation Challenge program’s Track B. Bridging the gap between essential resources and services & community needs and is a collaboration between NSF, the Department of Homeland Security, and the Department of Energy.<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
|
47.070
|
1
|
4900
|
4900
|
2432182
|
[{'FirstName': 'Jessica', 'LastName': 'Zegre-Hemsey', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jessica K Zegre-Hemsey', 'EmailAddress': '[email protected]', 'NSF_ID': '000849992', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Wayne', 'LastName': 'Rosamond', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Wayne D Rosamond', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A07RW', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'University of North Carolina at Chapel Hill', 'CityName': 'CHAPEL HILL', 'ZipCode': '275995023', 'PhoneNumber': '9199663411', 'StreetAddress': '104 AIRPORT DR STE 2200', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'NC04', 'ORG_UEI_NUM': 'D3LHU66KBLD5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL', 'ORG_PRNT_UEI_NUM': 'D3LHU66KBLD5'}
|
{'Name': 'University of North Carolina at Chapel Hill', 'CityName': 'CHAPEL HILL', 'StateCode': 'NC', 'ZipCode': '275995023', 'StreetAddress': '104 AIRPORT DR STE 2200', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'NC04'}
|
{'Code': '033Y00', 'Text': 'S&CC: Smart & Connected Commun'}
|
2024~74970
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432182.xml'}
|
CAREER: Understanding Molecular Mechanisms Underlying Chemical Behavior of Pollutants in Heterogeneous Environmental Systems
|
NSF
|
07/15/2024
|
09/30/2027
| 756,354 | 582,996 |
{'Value': 'Continuing Grant'}
|
{'Code': '03090000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'CHE', 'LongName': 'Division Of Chemistry'}}
|
{'SignBlockName': 'Anne-Marie Schmoltner', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924716'}
|
With support from the Environmental Chemical Sciences Program and the Chemical Measurement and Imaging Program in the Division of Chemistry, Emanuela Gionfriddo at the University of Toledo and her team will study the partitioning of organic pollutants in multi-phase environmental systems. Organic pollutants are continuously released to the environment by industrial and agricultural activities and use of pharmaceuticals. These pollutants can alter environmental processes and have far-reaching effects on humans and wildlife. Upon their release, organic pollutants partition with natural and anthropogenic substrates in the environment, establishing complex multiphasic equilibria that affect their chemical behavior. This research focuses on characterizing the molecular interactions that drive these partition equilibria. This research has the potential to improve understanding of the transport, distribution, and fate of organic pollutants in the environment and biota. The Gionfriddo team uses micro-extraction methodologies to probe the distribution of organic pollutants in heterogeneous systems. Of particular interest are emerging classes of organic pollutants, such as pesticides, pharmaceuticals, and perfluoroalkyl substances and their degradation products, and how they partition and interact under naturally occurring environmental conditions. These research objectives are integrated with efforts to promote public engagement in science, technology, engineering and mathematics (STEM) disciplines. Summer research activities will introduce members of underrepresented minority groups to scientific research and career opportunities through mentoring and hands-on experimentation.<br/><br/>Emanuela Gionfriddo and coworkers will study the molecular behavior of organic pollutants partitioning onto natural polymers using task-specific micro-extraction devices. This will improve our understanding of the molecular mechanisms of organic pollutants and microplastics interactions under naturally occurring environmental conditions. Partitioning phenomena of organic pollutants among anthropogenic polymers, aqueous media, and aerosols will be quantified. The use of tunable micro-extraction methodologies is expected to enable precise assessment of the dynamics of partitioning processes in multicomponent systems without disturbing the equilibria under investigation. This aims to provide solutions for the study of environmental chemistry processes and separation science strategies to evaluate phenomena of transport and magnification of organic pollutants in distinct environmental compartments.<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
|
2432184
|
{'FirstName': 'Emanuela', 'LastName': 'Gionfriddo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Emanuela Gionfriddo', 'EmailAddress': '[email protected]', 'NSF_ID': '000824991', 'StartDate': '07/08/2024', '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': '142603000', 'StreetAddress': '359 Natural Science Complex', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_PERF': 'NY26'}
|
[{'Code': '688000', 'Text': 'Chemical Measurement & Imaging'}, {'Code': '688200', 'Text': 'Environmental Chemical Science'}]
|
['2022~118627', '2023~464367']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432184.xml'}
|
Travel: Support for student travel to the Combustion Institute 40th International Symposium Emphasizing Energy Transition, Milan, Italy, July 22 - 26, 2024
|
NSF
|
06/01/2024
|
05/31/2025
| 35,000 | 35,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Harsha Chelliah', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927281'}
|
The 2024 International Symposium on Combustion will be held in July 2024. It is a gathering of combustion researchers from academia, industry, and government, both from the United States and around the world. The conference's technical program consists of a series of plenary lectures, contributed oral presentations, poster sessions and social gatherings. The best work presented is published in the Proceedings of the Combustion Institute. This award will provide funding for students to attend the symposium, where they will have a unique opportunity to meet members of the research community, discuss their research, and exchange ideas with both senior researchers as well as their student peers from around the world. Moreover, several panel discussions on Industry Perspectives will be held and one of the topical review presentations will be followed by a panel discussion that includes experts from academia and industry.<br/><br/>Combustion is ubiquitous in traditional energy conversion systems such as automotive engines, stationary, and aircraft gas turbines, rocket and space propulsion, electrical power generation, industrial furnaces, and home and institutional space heating. This year there will be special emphasis on transition to renewable fuels such as hydrogen, ammonia, methanol, sustainable aviation fuels (SAF), etc. produced via clean renewable energy and CO2 sequestration. Moreover, emerging technology areas such as hypersonic propulsion, microscale power generation and material synthesis depend critically on chemically reacting flow processes. The world’s dependence on combustion processes has led to many technological challenges including air quality, energy efficiency, and fire/explosion safety. Thus, combustion is still an active, vital area of research. The community of researchers shares knowledge in this important area through the symposium. Student travel support will engage the next generation of combustion 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.
|
07/10/2024
|
07/10/2024
|
None
|
Grant
|
47.041
|
1
|
4900
|
4900
|
2432202
|
{'FirstName': 'Paul', 'LastName': 'Ronney', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Paul D Ronney', 'EmailAddress': '[email protected]', 'NSF_ID': '000453158', 'StartDate': '07/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Southern California', 'CityName': 'LOS ANGELES', 'ZipCode': '90033', 'PhoneNumber': '2137407762', 'StreetAddress': '3720 S FLOWER ST FL 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '34', 'CONGRESS_DISTRICT_ORG': 'CA34', 'ORG_UEI_NUM': 'G88KLJR3KYT5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SOUTHERN CALIFORNIA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'USC AME Dept', 'CityName': 'Los Angeles', 'StateCode': 'CA', 'ZipCode': '900891453', 'StreetAddress': '3650 McClintock', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '37', 'CONGRESS_DISTRICT_PERF': 'CA37'}
|
{'Code': '140700', 'Text': 'CFS-Combustion & Fire Systems'}
|
2024~35000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432202.xml'}
|
Conference: Participation of early-career and diverse scientists in the International Conference on Geo-Omics of Archaea II
|
NSF
|
08/01/2024
|
07/31/2026
| 25,000 | 25,000 |
{'Value': 'Standard Grant'}
|
{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}
|
{'SignBlockName': 'Matthew Kane', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927186'}
|
This grant award will support the participation of eleven U.S. students, postdocs and/or early-career scientists in an international conference at the interface of genomics and geomicrobiology. It will enable vital networking for the participants, opportunities for initiating new collaborative research with international colleagues, and the advancement of research and discovery by U.S. scientists. The conference will include scientists from many countries, including the USA, Europe and China. The topics will address areas of basic scientific research, as well as the role of archeal microorganisms in diverse microbial communities and their contributions to human health and agriculture.<br/><br/>This gathering of a group of world experts at the second International Conference on Geo-Omics of Archaea, to be held in Shenzhen, China from November 7-9, 2024. The grant will help advance U.S. efforts in conducting research into fundamental questions related to the biology, physiology, diversity, biogeochemistry, ecology and evolution of Archaea. Participants will also be invited to participate in one or more synthesis manuscripts describing key advancements in areas of Archaeal biology. To maximize impact on broadening participation and development of science excellence in the U.S., funding support: (1) members of underrepresented groups in science; (2) graduate students and/or postdocs; and (3) early-career Assistant Professors.<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
|
47.074
|
1
|
4900
|
4900
|
2432215
|
[{'FirstName': 'Anna-Louise', 'LastName': 'Reysenbach', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anna-Louise Reysenbach', 'EmailAddress': '[email protected]', 'NSF_ID': '000426907', 'StartDate': '07/24/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Brian', 'LastName': 'Hedlund', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Brian P Hedlund', 'EmailAddress': '[email protected]', 'NSF_ID': '000311527', 'StartDate': '07/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Jose', 'LastName': 'de la Torre', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jose R de la Torre', 'EmailAddress': '[email protected]', 'NSF_ID': '000535049', 'StartDate': '07/24/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Brett', 'LastName': 'Baker', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Brett J Baker', 'EmailAddress': '[email protected]', 'NSF_ID': '000692986', 'StartDate': '07/24/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'University of Nevada Las Vegas', 'CityName': 'LAS VEGAS', 'ZipCode': '891549900', 'PhoneNumber': '7028951357', 'StreetAddress': '4505 S MARYLAND PKWY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Nevada', 'StateCode': 'NV', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'NV01', 'ORG_UEI_NUM': 'DLUTVJJ15U66', 'ORG_LGL_BUS_NAME': 'BOARD OF REGENTS OF NEVADA SYSTEM OF HIGHER EDUCATION', 'ORG_PRNT_UEI_NUM': 'F995DBS4SRN3'}
|
{'Name': 'University of Nevada Las Vegas', 'CityName': 'LAS VEGAS', 'StateCode': 'NV', 'ZipCode': '891549900', 'StreetAddress': '4505 S MARYLAND PKWY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Nevada', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'NV01'}
|
{'Code': '738100', 'Text': 'Ecosystem Science'}
|
2024~25000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432215.xml'}
|
CIVIC-PG Track A: Advancing A Net Zero Urban Water Future In The Southwest While Expanding Urban Greening And Associated Socio-Environmental Co-Benefits
|
NSF
|
10/01/2024
|
03/31/2025
| 75,000 | 75,000 |
{'Value': 'Standard Grant'}
|
{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}
|
{'SignBlockName': 'Vishal Sharma', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928950'}
|
The Colorado River is facing its worst mega-drought in a millennium and is no longer able to meet the demands of the 40 million people in the United States who rely on it. As a result, cities throughout the U.S. Southwest are reconsidering both their dependence on imported water and the reliability and management of their existing 20th century water systems. In many cities in this region, the built, natural, and social systems conflict with advancing water conservation and sustainability. Faced with the pressures of climate change, population growth, and aging infrastructure, one possible strategy presents itself: reinventing community water management to thrive using only local water sources through a Net Zero Urban Water (NZUW) approach. NZUW is a holistic water planning approach that explicitly accounts for natural and human needs. This proposal focuses on Tucson, Arizona, where a net zero water ordinance is currently under development by the city and county and ambitious urban greening and tree canopy goals are key components of recently adopted city and county climate action plans. With increasing temperatures and urban heat island impacts, new water demands are emerging as cities move to expand their urban landscape to provide cooling benefits. Our community-identified research need explores how Southwest cities achieve NZUW balances while expanding urban greening and the associated socio-environmental co-benefits.<br/><br/>To conduct this research, our project fills local natural systems data gaps (Objective 1) and local social systems data gaps (Objective 2) to create an integrated NZUW evaluative tool (Objective 3) for urban greening goals. Local natural system data gaps will be met through a combination of in-situ data collection focused on quantifying vegetation water use and evapotranspiration via monitoring and discrete sampling (e.g., soil samples) across a set of Tucson urban landscape typologies. In Stage 1, these typologies and in-situ sites will be identified, and monitoring plans will be solidified with grant collaborators. Objective 2 will address social system data gaps through a series of workshops on public preference and key informant interviews with resource managers. In Stage 1, a work plan for the workshops and interviews will be co-created with civic partners and stakeholders. Finally, in Stage 1 a method will be solidified to use remote sensing data (NDVI, LiDAR, Orthophoto) and artificial intelligence to scale in-situ monitoring data across the city and county as inputs into the NZUW urban greening evaluative tool produced in Stage 2.<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.
|
08/07/2024
|
08/07/2024
|
None
|
Grant
|
47.070
|
1
|
4900
|
4900
|
2432226
|
[{'FirstName': 'Courtney', 'LastName': 'Crosson', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Courtney Crosson', 'EmailAddress': '[email protected]', 'NSF_ID': '000799485', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Neha', 'LastName': 'Gupta', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Neha Gupta', 'EmailAddress': '[email protected]', 'NSF_ID': '000932483', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Kevin', 'LastName': 'Lansey', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin E Lansey', 'EmailAddress': '[email protected]', 'NSF_ID': '000193612', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Adriana', 'LastName': 'Zuniga-Teran', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Adriana A Zuniga-Teran', 'EmailAddress': '[email protected]', 'NSF_ID': '000769254', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Co-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': '857210075', 'StreetAddress': '1040 N Olive Rd', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AZ07'}
|
{'Code': '033Y00', 'Text': 'S&CC: Smart & Connected Commun'}
|
2024~75000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432226.xml'}
|
Collaborative Research: Watershed-scale Geomorphic Response to Climate Change in the Aklavik Range, NWT (Canada)
|
NSF
|
01/01/2024
|
12/31/2025
| 256,527 | 135,797 |
{'Value': 'Standard Grant'}
|
{'Code': '06090100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OPP', 'LongName': 'Office of Polar Programs (OPP)'}}
|
{'SignBlockName': 'Kelly Brunt', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928457'}
|
Arctic landscape response to rapid anthropogenic climate change has the potential to fundamentally alter both human and natural systems. This includes increased hazards to Arctic communities from permafrost thaw and associated slope instability and the destruction of river and coastal habitats from higher sediment and nutrient yields in Arctic rivers. While it is clear that Arctic landscapes are sensitive to climate change, a gap exists in our knowledge about how changes in temperature will affect the ways in which sediment is transported across a watershed. In order to address this knowledge gap, the investigators will be conducting a field- and remote sensing-based study of Arctic watersheds in the Aklavik Range of the Northwest Territories (NWT), Canada, where numerous First Nations communities are situated. The research team will test the specific hypothesis that climate change in the Arctic is leading to faster production of sediment within mountainous regions and causing subsequent increases in sediment delivery to hillslopes and rivers. <br/><br/>This is an interdisciplinary project that involves three Early Career tenure-track faculty, multiple local collaborators, as well as the Ehdiitat Gwich’in. The investigators will study two small bedrock watersheds (where sediment is produced) and their associated fan deposits (where sediment is stored) along a north-south climate gradient. Prior geomorphic work on these fan deposits was conducted in the 1960s to 1980s, making them an ideal location to quantitively assess change over time. The major objectives are to: (1) conduct fieldwork to understand how sediment is produced and the processes by which it moves across this landscape; (2) perform laboratory analyses on samples collected in the field to quantify rates of sediment production and transport over decadal to millennial scales; (3) use remote sensing techniques to extend local findings to the broader region over the last several decades; and (4) to use these data to calibrate sediment production and transport models so that we can predict future Arctic landscape response to anthropogenic warming scenarios. Many of the dating and remote sensing techniques have greatly advanced in the last several decades, but have not been applied to an integrated Arctic study spanning an entire watershed. Once proven in this study, this combination of methods could be used in other landscapes (both in the Arctic and at low latitudes) to better quantify how changes in rates of one geomorphic process (e.g., breakdown of bedrock) affects changes in rates of another (e.g., rates of sediment delivery to a river). In addition, the data collected during this project will calibrate state-of-the-science models allowing scientists to better inform local communities of potential hazards due to future warming.<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.
|
06/06/2024
|
06/06/2024
|
None
|
Grant
|
47.050, 47.078
|
1
|
4900
|
4900
|
2432230
|
{'FirstName': 'Jill', 'LastName': 'Marshall', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jill A Marshall', 'EmailAddress': '[email protected]', 'NSF_ID': '000671786', 'StartDate': '06/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Portland State University', 'CityName': 'PORTLAND', 'ZipCode': '972015508', 'PhoneNumber': '5037259900', 'StreetAddress': '1600 SW 4TH AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oregon', 'StateCode': 'OR', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'OR01', 'ORG_UEI_NUM': 'H4CAHK2RD945', 'ORG_LGL_BUS_NAME': 'PORTLAND STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'WWUJS84WJ647'}
|
{'Name': 'Portland State University', 'CityName': 'PORTLAND', 'StateCode': 'OR', 'ZipCode': '972015508', 'StreetAddress': '1600 SW 4TH AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oregon', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'OR01'}
|
[{'Code': '528000', 'Text': 'ANS-Arctic Natural Sciences'}, {'Code': '745800', 'Text': 'Geomorphology & Land-use Dynam'}]
|
2021~135797
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432230.xml'}
|
Assessing Sense of Belonging, Climate, and Culture at the Departmental Level from the Perspective of Undergraduate STEM Students
|
NSF
|
12/15/2023
|
09/30/2025
| 299,967 | 279,565 |
{'Value': 'Standard Grant'}
|
{'Code': '11040000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DUE', 'LongName': 'Division Of Undergraduate Education'}}
|
{'SignBlockName': 'Kimberly Tanner', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922262'}
|
This project aims to serve the national interest by developing a tool to measure undergraduate STEM students’ perceptions about the climate and culture of STEM departments. Students’ sense of belonging is key in retaining and graduating STEM undergraduates, especially STEM students from populations marginalized in STEM. The project plans to adapt questions from an existing tool, as well as develop new questions about STEM department climate and culture based on student interviews and focus groups with STEM department stakeholders. After initial development in three institutions, the project team intends to implement the tool in STEM departments in multiple institutions across the country. Additionally, the project plans to develop a handbook to guide departments in using this tool. This project should advance understanding of STEM student experiences in STEM departments and support efforts to retain students in STEM.<br/><br/>This project at Florida International University (FIU) aims to develop a research-based assessment tool to measure undergraduate STEM students’ sense of belonging to their department, as well as their perceptions about departmental climate and culture. FIU is a Hispanic-Serving Institution (HSI) and will collaborate with California State University, Fullerton and California State University, San Marcos, which are also HSIs. The project plans to adapt an existing assessment tool that examines sense of belonging and to develop new items to probe departmental culture and climate through input gathered from student interviews and focus groups with a diverse population of faculty, staff, advisors, and other departmental stakeholders. In addition to traditional closed-ended Likert-type questions and open-ended written assessment probes, the project plans to develop items based on visual narratives to probe students’ perceptions of departmental climate and culture. The new assessment tool will be piloted with a sample of ~1,400 undergraduate students in biology, chemistry, and physics departments across the three collaborating institutions to gather evidence of validity. Once initially validated, the assessment tool will then be implemented across at least 14 additional STEM departments, with data from the study returned to departments for reflection and discussion. Project evaluation will be guided by a 5-member advisory board composed of scholars from across different institutions and multiple relevant disciplines. Dissemination efforts include conference presentations, peer-reviewed publications, and development of a departmental handbook to guide use of the tool. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools. This project is also supported by the NSF IUSE:HSI program, which has the goals of enhancing the quality of undergraduate STEM education, and increasing the recruitment, retention, and graduation rates of students pursuing associate’s or baccalaureate degrees 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.
|
06/24/2024
|
06/24/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2432241
|
{'FirstName': 'Melissa', 'LastName': 'McCartney', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Melissa McCartney', 'EmailAddress': '[email protected]', 'NSF_ID': '000613425', 'StartDate': '06/24/2024', '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': 'AMHERST', 'StateCode': 'NY', 'ZipCode': '142282567', 'StreetAddress': '520 LEE ENTRANCE STE 211', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_PERF': 'NY26'}
|
{'Code': '077Y00', 'Text': 'HSI-Hispanic Serving Instituti'}
|
2022~279565
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432241.xml'}
|
Conference: NISS 2024 Writing Workshop for Jr Researchers
|
NSF
|
08/15/2024
|
08/31/2026
| 19,000 | 19,000 |
{'Value': 'Standard Grant'}
|
{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
|
{'SignBlockName': 'Tapabrata Maiti', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032925307'}
|
The National Institute of Statistical Sciences (NISS) Writing Workshop for Junior Researchers in 2024 will be a hybrid event, held online on two Fridays in July and at the Joint Statistical Meetings on August 4, 2024, in Portland, OR. The workshop focuses on enhancing junior statistical scientists’ technical writing abilities for various professional contexts. It will cover targeting publications, grant writing intricacies, manuscript revision, collaboration, ethics, reproducibility, and addressing challenges faced by non-native English speakers. Additionally, it will explore the role of AI, including an introduction to ChatGPT, and feature a panel discussing AI’s influence on writing and statistics. <br/><br/>The NISS Writing Workshop for Junior Researchers has been nurturing top statistical writers for over a decade, offering early-career connections with leading professionals. Recognizing the essential yet often overlooked role of writing in statistics, the workshop will be hybrid to expand its reach. It will cover technical writing, publication strategies, peer review navigation, collaborative writing, and funding insights, along with reproducibility and ethics. The JSM in-person session will delve into AI’s impact on the field, featuring a ChatGPT tutorial and a panel discussion. Thirty five junior researchers from statistics and related fields will receive personalized mentorship from experienced mentors, including former journal editors and NSF and NIH directors. Submissions are due by June 30. The workshop website is available here: https://www.niss.org/events/writing-workshop-junior-researchers-2024.<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.
|
08/16/2024
|
08/16/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2432249
|
{'FirstName': 'Piaomu', 'LastName': 'Liu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Piaomu Liu', 'EmailAddress': '[email protected]', 'NSF_ID': '000813469', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'National Institute of Statistical Sciences', 'CityName': 'DURHAM', 'ZipCode': '277090152', 'PhoneNumber': '9196859300', 'StreetAddress': '19 TW ALEXANDER DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'NC04', 'ORG_UEI_NUM': 'HDFJNDL61KG8', 'ORG_LGL_BUS_NAME': 'NATIONAL INSTITUTE OF STATISTICAL SCIENCES', 'ORG_PRNT_UEI_NUM': 'HDFJNDL61KG8'}
|
{'Name': 'National Institute of Statistical Sciences', 'CityName': 'DURHAM', 'StateCode': 'NC', 'ZipCode': '277090152', 'StreetAddress': '19 TW ALEXANDER DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'NC04'}
|
{'Code': '126900', 'Text': 'STATISTICS'}
|
2024~19000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432249.xml'}
|
Managing Distributional Ambiguity in Stochastic Optimization through Statistical Upper Bound Approaches
|
NSF
|
09/01/2024
|
08/31/2027
| 400,438 | 400,438 |
{'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 contribute to improving methods for resource allocation decisions when certain features of the problem are highly uncertain and data to estimate uncertain parameters is sparse. Distributionally robust optimization (DRO) is a useful optimization approach when model parameters are uncertain and decision makers are risk averse, but it generally relies on there being enough data available to sufficiently characterize underlying probability distributions. Effectively managing distributional ambiguity is essential for enhancing reliability, efficiency, and sustainability across a wide range of engineering and business domains. This project is motivated by the deployment of electric vehicle (EV) charging infrastructure, where limited data are available for describing geographically distributed demand. To address this issue, the project investigates a statistical bootstrapping approach to develop an upper confidence bound for a population mean - the Average Percentile Upper Bound (APUB). This upper bound serves a dual purpose: it provides not only statistical robustness but also a coherent risk measure, so that decision makers can effectively manage risk of misrepresentation of the underlying distribution. Incorporating APUB into optimization enhances robustness and endows the process with key qualities of data-driven decision-making: reliability, consistency, comprehensibility, and tractability. This award supports the involvement of undergraduate and graduate students in advancing the research agenda.<br/><br/>The project is driven by four core objectives, aimed at advancing the field of stochastic optimization and its application to real-world problems like EV charging. These objectives are: (i) Theoretical Foundations: Establish and validate fundamental theorems to confirm the robustness and efficacy of APUB-based data-driven approach. This includes detailed analysis of asymptotic behaviors and the development of methods for optimal parameter tuning to enhance performance. (ii) Computational Advancements: Increase computational efficiency in solving large-scale optimization challenges by creating advanced algorithms specifically designed for multi-stage stochastic issues and improving bootstrap sampling techniques for precise large-scale problem approximations, which enhances scalability. (iii) Framework Flexibility: Improve the adaptability of APUB to various levels of uncertainty, particularly where information is sparse, by applying and optimizing parametric bootstrap methods that can capitalize on limited prior data. (iv) Empirical Validation: The project will rigorously evaluate the effectiveness of the methodology through application in EV charging case studies, providing empirical evidence of their practical value and impact. The project represents a collaboration with the Argonne National Laboratory.<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
|
2432256
|
{'FirstName': 'Jian', 'LastName': 'Hu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jian Hu', 'EmailAddress': '[email protected]', 'NSF_ID': '000651079', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Regents of the University of Michigan - Dearborn', 'CityName': 'Dearborn', 'ZipCode': '481282406', 'PhoneNumber': '7347636438', 'StreetAddress': '4901 EVERGREEN RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'MI12', 'ORG_UEI_NUM': 'RY78VSF6P4G3', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Regents of the University of Michigan - Dearborn', 'CityName': 'Dearborn', 'StateCode': 'MI', 'ZipCode': '481282406', 'StreetAddress': '4901 EVERGREEN RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'MI12'}
|
{'Code': '006Y00', 'Text': 'OE Operations Engineering'}
|
2024~400438
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432256.xml'}
|
AEON+: Enabling time-domain and multi-messenger follow-up at all wavelengths
|
NSF
|
01/01/2025
|
12/31/2027
| 1,969,052 | 1,969,052 |
{'Value': 'Standard Grant'}
|
{'Code': '03020000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'AST', 'LongName': 'Division Of Astronomical Sciences'}}
|
{'SignBlockName': 'Martin Still', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924290'}
|
The U.S. has been at the forefront of new technologies that have given us new ways to study objects in space that change with time. Software can alert us to new discoveries, but the discovery data alone aren't enough for us to fully understand what's going on. Additional observations are required, often from several different telescopes. These follow-up observations are often needed at short notice, to help us to understand objects that are changing quickly. This project will enable astronomers to contact telescopes and ask for the observations they need using software. This will make it possible to coordinate follow-up observations across optical, infrared and radio telescopes. Astronomers will also be able to observe X-ray and UV signals using the Swift Space Telescope. The project will also foster collaborations between observatories and astronomers. The investigators will organize a program of workshops and collaborative visits. By sharing experience and tools, they will reduce duplication of effort, and make tools developed by different teams work together. <br/><br/>To characterize discoveries from gravitational wave, neutrino and electromagnetic Time Domain and Multi-Messenger Astrophysics (TD/MMA) surveys, it is essential to coordinate timely follow-up observations across the electromagnetic spectrum from many different ground-and space-based telescopes. The Astronomical Event Observatories Network (AEON) has demonstrated how quite different telescope facilities can collaborate to enable observation requests to be submitted through Application Programming Interfaces (APIs) with flexible modes of scheduling. This enables the science community to directly request observations through software, streamlining observing programs, which can then be automated. This has proven to enable highly efficient and flexible observations that are critical to performing timely follow-up of TD/MMA targets. Historically, most observatories have developed their operating software independently, leading to a range of platforms customized for each facility. Instead, this project will create a open-source software library that can submit observations to a wide range of AEON-compatible facilities. As a stand-alone library, this code can then be used within any community-developed platform or software. In addition to facilities that are already in AEON (Las Cumbres, SOAR, Gemini), this project, led by the Las Cumbres Observatory Global Telescope Network, will extend the new library to enable observations at the Keck Observatories, the Skynet telescope network and facilities operated by the National Radio Astronomical Observatory. The project will host regular Observatories Forum workshops, bringing together observatory staff and science community developers to share experience and tools, and fostering interoperability between platforms. It will also enable staff from different observatories to collaborate directly by creating a Visiting Developers program.<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.
|
08/27/2024
|
08/27/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2432266
|
{'FirstName': 'Rachel', 'LastName': 'Street', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rachel Street', 'EmailAddress': '[email protected]', 'NSF_ID': '000630281', 'StartDate': '08/27/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Las Cumbres Observatory Global Telescope Network', 'CityName': 'GOLETA', 'ZipCode': '931175575', 'PhoneNumber': '8058801608', 'StreetAddress': '6740 CORTONA DR STE 102', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'CA24', 'ORG_UEI_NUM': 'GKNXAU6D3629', 'ORG_LGL_BUS_NAME': 'LAS CUMBRES OBSERVATORY GLOBAL TELESCOPE NETWORK, INC.', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Las Cumbres Observatory Global Telescope Network', 'CityName': 'GOLETA', 'StateCode': 'CA', 'ZipCode': '931175575', 'StreetAddress': '6740 CORTONA DR STE 102', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'CA24'}
|
{'Code': '107Y00', 'Text': 'WoU-Windows on the Universe: T'}
|
2024~1969052
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432266.xml'}
|
HCC: Small: Design Strategies to Facilitate Implicit Care in Online Communities
|
NSF
|
01/01/2025
|
12/31/2027
| 557,077 | 557,077 |
{'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': 'Dan Cosley', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928832'}
|
Online communities are increasingly important for social interaction and social support. However, the many but subtle ways community members provide care and support to one another are often unnoticed and poorly supported by the design of existing online community software platforms. This project's goal is to enhance the ability of online communities to provide implicit care, such as subtle acts of inclusion and support, by studying these interactions on common online community platforms. By identifying and documenting implicit care practices, designing interventions to facilitate them, and developing strategies for platform designers to consider implicit care, the project seeks to improve the social health and cohesion of online communities. The findings will benefit society by promoting healthier and more supportive online interactions, contributing to national well-being, as well as directly benefiting students and communities involved in the research.<br/><br/>Through this project, the project team will identify, document, and analyze implicit care practices in online communities through digital ethnography, diary studies, interviews, and co-design workshops. Using the insights from those studies, the team will design, deploy, and iterate lightweight interventions, such as community bots and browser add-ons, to facilitate these practices. The research team will also develop and refine a framework of critical theoretical lenses and design strategies to support implicit care, culminating in a publicly available repository of findings and tools. By focusing on parent groups and gaming communities on platforms like Facebook, Reddit, and Discord, the research team aims to map the technical characteristics that enable or hinder implicit care and to provide actionable insights for researchers, designers, and community managers to foster supportive online environments.<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
|
47.070
|
1
|
4900
|
4900
|
2432286
|
{'FirstName': 'Austin', 'LastName': 'Toombs', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Austin L Toombs', 'EmailAddress': '[email protected]', 'NSF_ID': '000768714', 'StartDate': '08/05/2024', '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': '474083912', 'StreetAddress': '901 E 10th St', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'IN09'}
|
{'Code': '736700', 'Text': 'HCC-Human-Centered Computing'}
|
2024~557077
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432286.xml'}
|
Tropical hydroclimate change during the last deglaciation: a synthesis of isotope-enabled transient climate model simulations and proxy data
|
NSF
|
01/15/2024
|
07/31/2025
| 343,657 | 220,889 |
{'Value': 'Standard Grant'}
|
{'Code': '06020108', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
|
{'SignBlockName': 'Mea S. Cook', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927306'}
|
The tropics have profound influence on the global climate system, but the region’s response to changing climate remains unclear and the predictions of tropical precipitation and water cycling remain highly uncertain. This project aims to improve the ability of future climate projections in this region by using numerical model simulation and proxy derived records of water tracers of tropical hydroclimate to identify pan-tropical and regional responses to climate drivers under different boundary conditions. The investigation will focus on the last deglaciation period which is characterized by large shifts in atmospheric greenhouse gases concentrations, seasonal insolation, ice sheets, and sea level. Thus, the configuration of the last deglaciation creates a unique opportunity to study the tropical hydroclimate changes under different boundary condition than today.<br/><br/>The overarching goal of this project is to gain new insight into the large-scale dynamics and controls on tropical hydroclimate through (1) syntheses of tropical water isotope records to characterize the spatiotemporal changes of tropical isotope hydrological records during the last deglaciation, and (2) testing critical hypotheses about the impact of external forcings and internal feedbacks on tropical rainfall. To accomplish this goal, the researchers propose a comprehensive pan-tropical data model comparison through integrating water-isotope based proxy-data, proxy system models, and new simulations with a state of-the-art isotope enabled transient climate model (iTRACE). Further, the researchers will perform new sensitivity experiments under different boundary conditions with isotope-enabled Community Earth System Model to test the influence of land-ocean configuration on orbital and millennial-scale variability across the tropics.<br/>The potential Broader Impacts include a better understanding of the spatiotemporal changes and regional drivers of tropical hydroclimate during the last deglaciation. The proposed research will assess the influence of precipitation amount relative to atmospheric circulation changes on precipitation thus potentially enhancing the interpretation of regional paleoclimate records. The project will support the professional development of an early career scientist at Brown University and the education and research training of undergraduate students from minority-serving-institutions through the Leadership Alliance-NSF-REU partnership at Brown University. Additionally, the researchers will develop a new seminar course on climate data analysis and data-model comparison for undergraduate and graduate students.<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.
|
06/06/2024
|
06/06/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2432287
|
{'FirstName': 'Xiaojing', 'LastName': 'Du', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiaojing Du', 'EmailAddress': '[email protected]', 'NSF_ID': '000865172', 'StartDate': '06/06/2024', 'EndDate': None, 'RoleCode': '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': '153000', 'Text': 'Paleoclimate'}
|
2022~220889
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432287.xml'}
|
EAGER: EviAnn, a Novel Genome Annotation Software for Plant Genomes
|
NSF
|
08/15/2024
|
07/31/2025
| 299,916 | 299,916 |
{'Value': 'Standard Grant'}
|
{'Code': '08090000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}
|
{'SignBlockName': 'Diane Jofuku Okamuro', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924508'}
|
Genome annotation has always been a central aspect of genome projects, and its importance has only grown in the wake of the past decade's rapid advances in genome sequencing and assembly. Annotation locates functional elements on a genome, including protein-coding genes, noncoding RNA genes, repeat elements, and other genomic features. Identification of protein-coding genes is generally considered to be the most important component of annotation, although the need for more information about noncoding RNAs is increasing rapidly. Large-scale quantitative genetic analyses such as Genome Wide Association Studies (GWAS) usually focus on mutations associated with protein-coding genes, including mutations that can disrupt a protein by introducing frameshifts or premature stop codons. If a gene is missing or incorrectly annotated, these analyses return spurious results or fail entirely. For these reasons, it is vitally important to correctly locate all protein-coding sequences on a genome. All leading annotation methods today, including the widely used MAKER and BRAKER systems, rely critically on ab initio gene finding programs that use gene structure and known signature motifs to detect genes. However, based on experimental observations with modern transcriptome sequencing data, this strategy seems to be no longer adequate. The goal of this EAGER project is to develop a radically different approach to genome annotation that relies mostly on experimental evidence, avoiding the use of ab initio gene finding techniques to locate functional elements on the genome. Software developed as well as instructional videos will be readily available through GitHub and YouTube, respectively. If successful, it is anticipated that EviAnn will be useful to any groups that are working on assembly and annotation of plant genomes, thus enabling both basic and applied research needed for advancing crop improvement and the U.S. bioeconomy.<br/><br/>This project will develop an open-source software package that is based on processing and cross-referencing different types of evidence, resulting in a faster and more transparent annotation process, where one can trace the origin of every annotated gene or transcript back to transcriptional evidence, to protein alignment evidence, or both. Specifically, the EviAnn (Evidence-based Annotation) pipeline, together with EviProt, a novel protein-to-genome alignment package, will produce genome annotation by combining transcript assemblies created from Illumina RNA-seq data, PacBio IsoSeq and Oxford Nanopore RNA/cDNA sequencing data, alignments of transcripts from closely related species (if available), as well as alignments of proteins from at least one other related species. If successful, the software developed will likely be widely adopted by the community because of its expected superior performance and ease of use, resulting in better gene annotation that will enable advances in plant breeding, discovery of genes for disease and pest resistance, and ultimately will advance the frontiers of plant genomic research. To further promote wide adoption of EviAnn, the project will produce a series of educational videos that describes basic usage of the software by walking through all the steps using examples from small genomes. For example, the videos will show users will demonstrate how to deal with common failures in installing and running the software and how to search for transcript and protein data for related species in public databases. All project outcomes will be made available to research communities through deposition at and dissemination through public repositories.<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.
|
07/15/2024
|
07/15/2024
|
None
|
Grant
|
47.074
|
1
|
4900
|
4900
|
2432298
|
[{'FirstName': 'Steven', 'LastName': 'Salzberg', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Steven L Salzberg', 'EmailAddress': '[email protected]', 'NSF_ID': '000257355', 'StartDate': '07/15/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Alexey', 'LastName': 'Zimin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alexey Zimin', 'EmailAddress': '[email protected]', 'NSF_ID': '000558080', 'StartDate': '07/15/2024', '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': '757700', 'Text': 'Plant Genome Research Resource'}
|
2024~299916
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432298.xml'}
|
I-Corps: Translation Potential of microRNA (miRNA) detection technology to identify early-stage pancreatic cancer
|
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': 'Ruth Shuman', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922160'}
|
The broader impact of this I-Corps project is the development of point-of-care device for routine screening applications to identify early-stage pancreatic cancer (PC). Currently, patients with early-stage pancreatic tumors have a five-year survival rate of about 90%, compared with a 6% survival rate for cancers detected at the late-stage. However, PC is difficult to detect early as it has no early symptoms; instead, symptoms appear when the cancer has advanced to late stages. Further, current screening methods used in clinical care (e.g., proteomics and imaging) can only detect late-stage PCs, providing little help to the patient. This device is designed to analyze blood samples and identify early-stage PCs. This solution may allow for early treatment to improve patient outcomes and reduce the financial burden on healthcare systems.<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 a highly sensitive microRNA (miRNA) detection device for early detection of pancreatic cancer (PC). The miRNA detection is based on hybridizing the target miRNA molecules with their complementary fluorophore-labeled DNA molecules. An alternating current (AC) is used to selectively isolate the labeled miRNA-DNA hybrid molecules on the electrodes and enhance the fluorescence intensity. The fluorescence intensity is then analyzed to calculate the molarity of miRNA target. AC electric fields have been shown to produce less damage to miRNA molecules and generate significantly less heat than direct current (DC) fields. In addition, AC fields may stretch molecules and hybridize the miRNA-DNA molecules with fewer false positive results as compared with DC fields. This technology is under evaluation to be used to detect early-stage pancreatic cancer and the device will be designed to be used in routine medical applications in point-of-care settings. The goal is to simplify diagnostic workflow and create a platform technology for cancer biomarker detection.<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.
|
07/01/2024
|
07/01/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2432316
|
{'FirstName': 'Dharmakeerthi', 'LastName': 'Nawarathna', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dharmakeerthi Nawarathna', 'EmailAddress': '[email protected]', 'NSF_ID': '000895627', 'StartDate': '07/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Old Dominion University Research Foundation', 'CityName': 'NORFOLK', 'ZipCode': '235082561', 'PhoneNumber': '7576834293', 'StreetAddress': '4111 MONARCH WAY', 'StreetAddress2': 'STE 204', 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'VA03', 'ORG_UEI_NUM': 'DSLXBD7UWRV6', 'ORG_LGL_BUS_NAME': 'OLD DOMINION UNIVERSITY RESEARCH FOUNDATION', 'ORG_PRNT_UEI_NUM': 'DSLXBD7UWRV6'}
|
{'Name': 'Old Dominion University', 'CityName': 'NORFOLK', 'StateCode': 'VA', 'ZipCode': '235290001', 'StreetAddress': '5115 Hampton Blvd.', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'VA03'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432316.xml'}
|
Conference: Advancing Studies of Earth’s Upper Atmosphere Using Commercial Suborbital Vehicles; Paso Robles, CA, November 2024
|
NSF
|
09/15/2024
|
08/31/2025
| 50,000 | 50,000 |
{'Value': 'Standard Grant'}
|
{'Code': '06020200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
|
{'SignBlockName': 'Mangala Sharma', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924773'}
|
A 2-day workshop in Paso Robles, California in November 2024 will bring together scientists, engineers, educators, and commercial suborbital vehicle operators. The goal is to explore the potential for reusable suborbital vehicles to enable innovative research on the upper atmosphere of the Earth (specifically, from 45 km to 110 km altitudes). This atmospheric region plays a crucial role in space weather, space climate, and atmospheric change but remains one of the least understood and most complex environments in our solar system. At the workshop, discussions will spur cross-disciplinary collaborations and open up new modes of investigation that can revolutionize our understanding of the upper atmosphere. The discussions will also identify innovative opportunities for hands-on student engagement with real space missions and STEM workforce training.<br/><br/>The mesosphere lower thermosphere (MLT) region of the atmosphere is poorly sampled as it is too high for aircraft and balloons to access, yet too low for most orbital satellites and ground-based sensing techniques to adequately observe and collect in-situ data. Commercial reusable suborbital vehicles have the potential to offer frequent, lower-cost, in-situ sampling and direct observations of the MLT and significantly augment current balloons and sounding rocket studies. Discussion topics at the workshop will include: emerging science questions and future research needs in the mesosphere/thermosphere; next-generation suborbital vehicle capabilities and performance for aeronomy and atmospheric science; innovations in instrumentation, miniaturized sensors, and data systems for suborbital missions; and educational opportunities. <br/><br/>The workshop is supported by the NSF Space Weather Research program with co-funding from the Aeronomy program.<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
|
47.050
|
1
|
4900
|
4900
|
2432335
|
[{'FirstName': 'Dianne', 'LastName': 'DeTurris', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dianne J DeTurris', 'EmailAddress': '[email protected]', 'NSF_ID': '000187771', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Dustin', 'LastName': 'DeBrum', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dustin B DeBrum', 'EmailAddress': '[email protected]', 'NSF_ID': '000995276', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'California Polytechnic State University Foundation', 'CityName': 'SAN LUIS OBISPO', 'ZipCode': '934079000', 'PhoneNumber': '8057562982', 'StreetAddress': '1 GRAND AVE BLDG 15', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'CA24', 'ORG_UEI_NUM': 'MC4RJJM9XLT5', 'ORG_LGL_BUS_NAME': 'CAL POLY CORPORATION', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'California Polytechnic State University Foundation', 'CityName': 'SAN LUIS OBISPO', 'StateCode': 'CA', 'ZipCode': '934079000', 'StreetAddress': '1 GRAND AVE BLDG 15', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'CA24'}
|
[{'Code': '152100', 'Text': 'AERONOMY'}, {'Code': '808900', 'Text': 'Space Weather Research'}]
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432335.xml'}
|
Collaborative Research: Value of Data Acquisition in Transportation Networks
|
NSF
|
10/01/2024
|
09/30/2027
| 367,616 | 367,616 |
{'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'}
|
Research funded by this award will promote the progress of data science in support of the nation’s smart transportation systems through establishing a theoretical foundation for quantifying the value of information from various data sources in a transportation network. Major transportation network operators, such as the California Department of Transportation, depend on good-quality data to operate and manage their systems. Acquiring and managing data can be expensive. A crucial question arises: What data should a network operator acquire to optimize planning and operations? Priorities in data acquisition plans must align with their value for the network operator’s decision-making. Currently, there's no established theoretical framework for developing these plans. This research looks to establish a unifying theoretical framework for evaluating and optimizing data acquisition in a transportation network. The research project will directly benefit society by facilitating effective utilization of information and leading to more sustainable and efficient transportation systems. Interdisciplinary curriculum development supported by the research findings, including modular course materials that can adapt to varying learning needs, will help better prepare and broaden participation of next-generation professionals in the smart transportation innovation ecosystem.<br/><br/>The research project introduces novel concepts that quantify the value of data through the lens of robust estimation and decision processes and translates the impact on robustness to sensitivity analysis of optimal planning problems. The research centers on three tasks: Task 1 quantifies how changes in data affect estimates of network performance metrics, which will enable a network operator to identify what data is important and how the importance varies spatially and temporally. Task 2 concentrates on modeling of data acquisition and leads to stochastic optimization models that prescribe the best data acquisition plan in support of the subsequent estimation of performance metrics. Task 3 creates three case studies for the purpose of testing and validating the methods using both real-world and synthetic data.<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
|
2432336
|
{'FirstName': 'Yueyue', 'LastName': 'Fan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yueyue Fan', 'EmailAddress': '[email protected]', 'NSF_ID': '000486057', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'ZipCode': '956186153', 'PhoneNumber': '5307547700', 'StreetAddress': '1850 RESEARCH PARK DR STE 300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'CA04', 'ORG_UEI_NUM': 'TX2DAGQPENZ5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, DAVIS', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'StateCode': 'CA', 'ZipCode': '956186153', 'StreetAddress': '1850 RESEARCH PARK DR STE 300', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'CA04'}
|
{'Code': '163100', 'Text': 'CIS-Civil Infrastructure Syst'}
|
2024~367616
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432336.xml'}
|
Collaborative Research: Value of Data Acquisition in Transportation Networks
|
NSF
|
10/01/2024
|
09/30/2027
| 317,374 | 317,374 |
{'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 award will promote the progress of data science in support of the nation’s smart transportation systems through establishing a theoretical foundation for quantifying the value of information from various data sources in a transportation network. Major transportation network operators, such as the California Department of Transportation, depend on good-quality data to operate and manage their systems. Acquiring and managing data can be expensive. A crucial question arises: What data should a network operator acquire to optimize planning and operations? Priorities in data acquisition plans must align with their value for the network operator’s decision-making. Currently, there's no established theoretical framework for developing these plans. This research establishes a unifying theoretical framework for evaluating and optimizing data acquisition in a transportation network. The project will directly benefit society by facilitating effective utilization of information and leading to more sustainable and efficient transportation systems. Interdisciplinary curriculum development supported by the research findings, including modular course materials that can adapt to varying learning needs, will help better prepare and broaden participation of next-generation professionals in the smart transportation innovation ecosystem.<br/><br/>The project introduces novel concepts that quantify the value of data through the lens of robust estimation and decision processes and translates the impact on robustness to sensitivity analysis of optimal planning problems. The project centers on three tasks: Task 1 quantifies how changes in data affect estimates of network performance metrics, which will enable a network operator to identify what data is important and how the importance varies spatially and temporally. Task 2 concentrates on modeling of data acquisition and leads to stochastic optimization models that prescribe the best data acquisition plan in support of the subsequent estimation of performance metrics. Task 3 creates three case studies for the purpose of testing and validating the methods using both real-world and synthetic data.<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
|
2432337
|
{'FirstName': 'Johannes', 'LastName': 'Royset', 'PI_MID_INIT': 'O', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Johannes O Royset', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A02FL', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Southern California', 'CityName': 'LOS ANGELES', 'ZipCode': '90033', 'PhoneNumber': '2137407762', 'StreetAddress': '3720 S FLOWER ST FL 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '34', 'CONGRESS_DISTRICT_ORG': 'CA34', 'ORG_UEI_NUM': 'G88KLJR3KYT5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SOUTHERN CALIFORNIA', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Southern California', 'CityName': 'LOS ANGELES', 'StateCode': 'CA', 'ZipCode': '900893606', 'StreetAddress': '3650 McClintock Ave., OHE 310H', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '37', 'CONGRESS_DISTRICT_PERF': 'CA37'}
|
{'Code': '163100', 'Text': 'CIS-Civil Infrastructure Syst'}
|
2024~317374
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432337.xml'}
|
Conference: INCLUDES Conference: Science Research and Mentoring Program Consortium Conference (SRMPCon)
|
NSF
|
11/15/2024
|
10/31/2025
| 98,531 | 98,531 |
{'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': 'Ronda Jenson', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032925028'}
|
The American Museum of Natural History will host the Science Research Mentoring Program Conference (SRMPCon) designed as an opportunity to exchange ideas and strategies centered on evidence-based, inclusive, research-focused mentorship for underrepresented minority youth. Particularly for youth who have been historically underrepresented in STEM, effective mentorship can lead to the development of a STEM identity, confidence in STEM learning, and a sense of belonging in STEM fields. Many education programs across the U.S. offer mentored research experiences to underrepresented minority high school youth, but they often operate in isolation, limiting the exchange of strategies for fostering inclusive mentorship environments. Through this conference, participants will have the opportunity to increase their knowledge about ways of improving their mentorship programs.<br/><br/>Over three meetings (two virtual sessions and one in-person three-day conference held at the American Museum of Natural History) participants will explore the institutional drivers that shape mentorship in their programs and will design concrete strategies that build on collective assets to address institutional barriers. Conference participants will include program administrators, scientist mentors, and science educators working within structured research mentorship programs for high school students who are historically underrepresented in STEM. SRMPCon will produce reports on the proceedings from an external evaluator and will compile the initiatives and strategies created by participants. These results will be disseminated widely in collaboration with the Partners for Network Improvement team at STEM PUSH, an NSF INCLUDES Alliance (NSF #1930990). This conference aims to shift institutional priorities to recognize the value of mentorship and cultivate environments that encourage evidence-based, inclusive mentorship, serving to diversify the workforce and bring valuable perspectives to STEM fields.<br/><br/>This award has been made in response to solicitation NSF 22-622. This conference is supported by the NSF Eddie Bernice Johnson INCLUDES Initiative (NSF INCLUDES), which motivates and accelerates collaboration for systems change to broaden participation in STEM and the Advancing Informal STEM Learning program, which supports projects that: (a) contribute to research and practice that considers informal STEM learning's role in equity and belonging in STEM; (b) promote personal and educational success in STEM; (c) advance public engagement in scientific discovery; (d) foster interest in STEM careers; (e) create and enhance the theoretical and empirical foundations for effective informal STEM learning; (f) improve community vibrancy; and/or (g) enhance science communication and the public's engagement in and understanding of STEM and STEM 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.
|
08/12/2024
|
08/12/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2432355
|
{'FirstName': 'Maria', 'LastName': 'Strangas', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Maria Strangas', 'EmailAddress': '[email protected]', 'NSF_ID': '000979189', 'StartDate': '08/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'American Museum Natural History', 'CityName': 'NEW YORK', 'ZipCode': '100245102', 'PhoneNumber': '2127695975', 'StreetAddress': '200 CENTRAL PARK W', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NY12', 'ORG_UEI_NUM': 'MNJDKB4FXLM6', 'ORG_LGL_BUS_NAME': 'THE AMERICAN MUSEUM OF NATURAL HISTORY', 'ORG_PRNT_UEI_NUM': 'MNJDKB4FXLM6'}
|
{'Name': 'American Museum Natural History', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100245102', 'StreetAddress': '200 CENTRAL PARK W', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NY12'}
|
[{'Code': '032Y00', 'Text': 'Eddie Bernice Johnson INCLUDES'}, {'Code': '725900', 'Text': 'AISL'}]
|
2024~98531
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432355.xml'}
|
Conference: Symposium on Undergraduate Research 2024
|
NSF
|
08/01/2024
|
07/31/2025
| 12,000 | 12,000 |
{'Value': 'Standard Grant'}
|
{'Code': '03010000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'PHY', 'LongName': 'Division Of Physics'}}
|
{'SignBlockName': 'John D. Gillaspy', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927173'}
|
This award provides travel support for undergraduate student participation in the Symposium on Undergraduate Research. This Symposium will be held at the annual meeting of the American Physical Society Division of Laser Science (DLS), in conjunction with the annual Frontiers in Optics (FiO) meeting of Optica. The conference program includes many of the research topics central to Atomic, Molecular, and Optical Physics. The support of students through this award makes a substantial contribution to the education and training of future scientists. Students who graduate with a background in laser science acquire a broad range of knowledge and skills that enable them to contribute to progress in many areas of science and technology. <br/><br/>The meeting is scheduled to be held in Denver, CO on September 23, 2024. It offers an opportunity for undergraduate students to present their research results and to interact with senior scientists primarily from the United States, but also the broader international community. Support is provided only for US students (students enrolled in US universities).<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
|
2432388
|
{'FirstName': 'Harold', 'LastName': 'Metcalf', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Harold Metcalf', 'EmailAddress': '[email protected]', 'NSF_ID': '000105073', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'SUNY at Stony Brook', 'CityName': 'STONY BROOK', 'ZipCode': '117940001', 'PhoneNumber': '6316329949', 'StreetAddress': 'W5510 FRANKS MELVILLE MEMORIAL L', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'NY01', 'ORG_UEI_NUM': 'M746VC6XMNH9', 'ORG_LGL_BUS_NAME': 'THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK', 'ORG_PRNT_UEI_NUM': 'M746VC6XMNH9'}
|
{'Name': 'SUNY at Stony Brook', 'CityName': 'STONY BROOK', 'StateCode': 'NY', 'ZipCode': '117940001', 'StreetAddress': 'W5510 FRANKS MELVILLE MEMORIAL LIBRARY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'NY01'}
|
[{'Code': '124100', 'Text': 'AMO Experiment/Atomic, Molecul'}, {'Code': '128400', 'Text': 'AMO Theory/Atomic, Molecular &'}]
|
2024~12000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432388.xml'}
|
I-Corps: Translation Potential of Bacterial Endophytes for Growth Promotion and Disease Management in Organic Vegetable Production
|
NSF
|
08/01/2024
|
07/31/2025
| 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 based on the development of novel bacterial strains that enhance plant growth and fruit yields and increase resilience of tomato and pepper plants against attacks by soil-borne pathogens. Novel bacterial strains have potential for widespread use in agriculture due to their ability to enhance plant growth and provide protection against pathogens and environmental stresses. This solution provides an environmentally friendly system for plant growth enhancement and disease management, properties that are particularly needed in organic farming. By increasing locally produced organic vegetables, this solution could potentially lead to a reduction in imported organic produce, while also providing an alternative to chemical pesticides used in conventional farming. <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 commercially viable bacterial formulations in powder and liquid forms that can be readily applied by organic farmers. Through rigorous greenhouse and field trials, plants treated with these beneficial bacteria exhibited improved growth and increasing yields by 30 percent compared to the non-treated plants. Unlike traditional chemical pesticides, which often leave detrimental residual effects on produce and microbial communities, these bacteria-based solutions offer a sustainable alternative to benefit the organic production system and meet the increasing demand for safer, chemical-free produce.<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
|
47.084
|
1
|
4900
|
4900
|
2432389
|
{'FirstName': 'Margaret', 'LastName': 'Mmbaga', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Margaret T Mmbaga', 'EmailAddress': '[email protected]', 'NSF_ID': '000651816', 'StartDate': '07/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Tennessee State University', 'CityName': 'NASHVILLE', 'ZipCode': '372091561', 'PhoneNumber': '6159637631', 'StreetAddress': '3500 JOHN A MERRITT BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'TN05', 'ORG_UEI_NUM': 'N63ZMY7UETA3', 'ORG_LGL_BUS_NAME': 'TENNESSEE STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Tennessee State University', 'CityName': 'NASHVILLE', 'StateCode': 'TN', 'ZipCode': '372091500', 'StreetAddress': '3500 JOHN A MERRITT BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Tennessee', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'TN05'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432389.xml'}
|
Collaborative Research: Conference: Dialogue and Robots
|
NSF
|
10/01/2023
|
06/30/2024
| 44,851 | 12,362 |
{'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': 'Tatiana Korelsky', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032920000'}
|
The Dialogue and Robots workshop addresses the issues of spoken language processing for human-robot interaction since communication between robots and humans presents multiple novel challenges. To address these challenges the team will bring together roboticists, spoken dialogue systems researchers, human-robot interaction researchers, computer scientists, speech scientists and technologists and natural language processing researchers to understand how to use various knowledge sources so that robots can more naturally and effectively interact with people. Success in this area will help a broad application of social robots to the benefit of society, including working with and alongside people in homes, schools, hospitals, and workplaces. The expected result of Dialogue and Robots workshop is the stimulation of interdisciplinary collaborations that focus on solving problems in speech communication that currently limit the effectiveness of social robots in various situations. <br/><br/>The workshop participants' discussions cover a range of problems, from the basics of the platforms to technical challenges in robotics, human-robot interaction, spoken dialogue systems, and natural language processing. Topics include processing multimodal data, situated reasoning, achieving common ground in human-AI collaboration, building trust in collaborative systems, and applications of such systems for social good. The workshop will result in whitepapers that define concrete research projects.<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.
|
05/19/2024
|
05/19/2024
|
None
|
Grant
|
47.070
|
1
|
4900
|
4900
|
2432393
|
{'FirstName': 'Malihe', 'LastName': 'Alikhani', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Malihe Alikhani', 'EmailAddress': '[email protected]', 'NSF_ID': '000833635', 'StartDate': '05/19/2024', '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': '749500', 'Text': 'Robust Intelligence'}
|
2023~12362
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432393.xml'}
|
Travel: Supporting US participants for the 1st Taiwan-US workshop on Cyber Security
|
NSF
|
07/01/2024
|
06/30/2025
| 49,999 | 49,999 |
{'Value': 'Standard Grant'}
|
{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}
|
{'SignBlockName': 'Selcuk Uluagac', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924540'}
|
The proposal seeks support to cover the travel expense for invited participants from US institutes to participate a research workshop in Taipei, on June 26-27 of 2024. The requested travel support enables important technology exchanges among research stakeholders. The workshop enables in-person exchanges and helps facilitate the creation of research collaboration in cyber security research. It allows participants to enrich their international collaboration experiences and build joint research plans that are mutually beneficial. <br/><br/>The planned workshop will explore the research and collaboration opportunities in the research topic areas of Trustworthy AI, AI for Security, Resilient Networks, Zero Trust system, Post quantum security, and possibly others. The workshop will hold lightening talks and round table discussions in three thrust areas: AI and Security, System and Network Security, and cryptography and applications. The workshop will offer a unique experience for cyber security researchers to engage with each other under a two-day extensive program that allow for research ideas sharing, emerging topic discussion, and research roadmap definition.<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
|
47.070
|
1
|
4900
|
4900
|
2432399
|
{'FirstName': 'Shyhtsun', 'LastName': 'Wu', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shyhtsun F Wu', 'EmailAddress': '[email protected]', 'NSF_ID': '000951994', 'StartDate': '07/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'ZipCode': '956186153', 'PhoneNumber': '5307547700', 'StreetAddress': '1850 RESEARCH PARK DR STE 300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'CA04', 'ORG_UEI_NUM': 'TX2DAGQPENZ5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, DAVIS', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'StateCode': 'CA', 'ZipCode': '956186153', 'StreetAddress': '1850 RESEARCH PARK DR STE 300', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'CA04'}
|
{'Code': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}
|
2024~49999
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432399.xml'}
|
NSF Future Manufacturing Grantees Conference; Washington, DC; 1-2 August 2024
|
NSF
|
07/01/2024
|
06/30/2025
| 99,955 | 99,955 |
{'Value': 'Standard Grant'}
|
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
|
{'SignBlockName': 'Andrew Wells', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927225'}
|
This award funds a conference to bring together Future Manufacturing (FM) grantees and program officers from the National Science Foundation (NSF), and other federal agencies as appropriate. FM was created to support fundamental research, education, and training of a future workforce to catalyze the development of new and innovative manufacturing capabilities that do not exist today. FM aims to promote US leadership in advanced manufacturing, and enable advances in the fields of cyber-, eco- and biomanufacturing. This conference brings together FM awardees to foster engagement within the advanced manufacturing community across multiple domains including academia, industry, and government, to highlight progress in diverse areas of research, to identify new collaborative endeavors, and to address future grand challenges in the field. The following topics will be discussed throughout the conference: 1) Advanced Manufacturing Technologies, 2) Building Resilience into Manufacturing, 3) Translation into Commercial Sectors, 4) Sustainability in Manufacturing and 5) Education and Training Initiatives and Broader Impacts.<br/><br/>A primary goal of this conference is to assess the current status and opportunities for FM across the US. Aims being pursued at this event include: 1) bringing together FM investigators to report on current project findings to date in partnership with the NSF, 2) interacting with other FM awardees to identify synergies and collaborations, 3) identifying methods to transition successful FM projects into the marketplace, 4) developing practices to expand workforce participation in diverse and inclusive environments. The conference will include oral sessions on FM-related activities and topics, breakout sessions on broad topics of common interest, and poster sessions outlining research advances by PIs. Results from the conference will be published for the FM research and broader community via a Conference Proceedings that will include a compilation of project abstracts. The conference will be held in downtown Washington DC 1-2 August 2024.<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
|
2432415
|
{'FirstName': 'Michael', 'LastName': 'Betenbaugh', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael J Betenbaugh', 'EmailAddress': '[email protected]', 'NSF_ID': '000243331', 'StartDate': '07/10/2024', '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': '088Y00', 'Text': 'AM-Advanced Manufacturing'}
|
2024~99955
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432415.xml'}
|
HEROIC - Hop Enabled Realtime Observatory Information and Coordination
|
NSF
|
09/01/2024
|
08/31/2027
| 2,363,871 | 2,363,871 |
{'Value': 'Standard Grant'}
|
{'Code': '03020000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'AST', 'LongName': 'Division Of Astronomical Sciences'}}
|
{'SignBlockName': 'Martin Still', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924290'}
|
Discovery and telescope follow-up of rare and exotic sources is critical to pushing the boundaries of understanding of fundamental physics. A relatively new capability of combining information from different messengers to more completely understand the universe is called multimessenger astronomy. Multimessenger time domain astronomy is a powerful new tool for exploring the cosmos. The four messengers that astronomers study are light in all its forms, cosmic rays, neutrinos, and gravitational waves. Many source types change rapidly with time. It is critical that observations occur simultaneously or within a short time span so that astronomers capture the properties of different messengers before the source changes. The key challenge is coordinating community follow-up across multiple observatories with many instruments, minimizing duplication, and maximizing the value of the combined dataset. Over a 3-year award, a team led by the University of Illinois at Urbana-Champaign will build a Hop-Enabled Real-time Observatory Information and Coordination (HEROIC) service. HEROIC will collate, save and publish observatory and instrument status (present, planned, and archival), from a worldwide network of ground- and space-based facilities. Moreover, HEROIC enables teams from smaller institutions to more effectively participate in MMA science.<br/><br/>HEROIC will provide the entire astrophysics community a single destination to quickly see what facility can point to a multi-messenger source, what observations are currently being scheduled or undertaken with them, and which groups to coordinate with. HEROIC will be a central component in a fully integrated, interoperable cyberinfrastructure for astrophysics, where scientists can receive alerts, plan and trigger follow-up, and share observations with each other, breaking barriers between previously siloed facilities. The HEROIC service can potentially be extended to all major ground- and space-based facilities. The tools that HEROIC provides are essential for all time-domain astrophysics, and will enable entirely new studies, as scientists will be able to use existing facilities and archival data more effectively, while also encouraging coordination between teams. By developing critical infrastructure that is useful for multiple facilities, HEROIC also frees observatories up from having to develop/maintain similar services themselves, reducing their development burden, and increasing the incentive to participate.<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
|
2432428
|
[{'FirstName': 'Thomas', 'LastName': 'Matheson', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Thomas Matheson', 'EmailAddress': '[email protected]', 'NSF_ID': '000565959', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Dale', 'LastName': 'Howell', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dale A Howell', 'EmailAddress': '[email protected]', 'NSF_ID': '000633684', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Gautham', 'LastName': 'Narayan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gautham Narayan', 'EmailAddress': '[email protected]', 'NSF_ID': '000764374', 'StartDate': '08/23/2024', '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': '107Y00', 'Text': 'WoU-Windows on the Universe: T'}
|
2024~2363871
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432428.xml'}
|
CAREER: Biomineralized architected metamaterials: structural design and formation mechanisms
|
NSF
|
06/01/2024
|
01/31/2025
| 520,006 | 128,989 |
{'Value': 'Continuing 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'}
|
Abstract (non-technical)<br/>In contrast to geological minerals, biominerals are mineral-based structures formed by organisms. Seashells, our teeth and bone are good examples of biominerals. While we are often amazed by geological minerals’ various specific crystal geometries, biominerals are usually characterized by their arbitrary yet often complex three-dimensional (3D) morphologies. Moreover, the internal microscopic structures of many biomineral-based structures are also extremely intricate and carefully organized in 3D. This hierarchical structural complexity leads to biomineralized structures’ remarkable mechanical strength and durability, despite the fact that the minerals themselves are intrinsically brittle. Currently we have limited knowledge in explaining how biominerals’ complex 3D microstructures and morphologies are emerged and regulated. This award, by using the biomineralized skeleton in a starfish as a model system, aims to characterize its complex 3D microstructure as well as the underlying formation mechanisms. The skeleton of starfish consists of hundreds of millimeter-sized biomineralized elements, known as ossicles, which are embedded within its soft body. This unique skeletal design allows the starfish to be flexible during locomotion but also to become stiff when required. The ossicles are characterized by their lattice-like porous microstructure based on the single-crystalline calcite, which makes them lightweight, strong, and damage tolerant. The new knowledge gained from this study on the biomineralization mechanisms in starfish will provide us a better understanding of the 3D structural evolution processes for echinoderms, or possibly, even other invertebrate and vertebrate biomineralized tissues. The insights on the multiscale structure, formation mechanisms and mechanical properties obtained in this study for starfish’ biomineralized skeletons will provide important lessons for the design and fabrication of synthetic low-density materials and thus benefit the U.S. economy and society. Aligned with the research goal in generating new knowledge of biomineralized materials, the proposed education and outreach programs will improve the quality of STEM education both locally and national-wide. <br/><br/>Abstract (technical)<br/>Starfish form biomineralized millimeter-sized skeletal elements, known as ossicles, for protection, locomotion and other purposes. Like other echinoderms’ skeletons, these ossicles consist of magnesium-bearing calcite with a small amount of organic materials embedded in the mineral matrix. Intriguingly, despite their single-crystal nature, ossicles are characterized by their complex bicontinuous network-like microstructure, known as stereom. The goal of this proposed CAREER program is to understand how these biominerals’ complex morphology is formed and controlled in 3D and how such structural control impacts their mechanical performance. We carefully select the periodic, lattice-like stereom structure, termed as biomineralized architected metamaterial (BAM), from a model starfish system. The PI will first quantify the multiscale 3D morphology of the fully formed BAM structure in terms of its 3D lattice network, surface curvature, and spatial distribution of organic materials within minerals and then investigate the 3D structural evolution, mineral crystallography, and distribution of mineral precursors at the growth front of forming ossicles through novel tomography imaging techniques. Finally, the mechanical effects of multiscale 3D structural control will be established via combined experimental testing and computational modeling. The subject of this study is an attractive topic for students and the broader public, and the proposed education and outreach programs will integrate material science, biology, and engineering to align with the research goal in better understanding biological 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.
|
05/16/2024
|
05/16/2024
|
None
|
Grant
|
47.049
|
1
|
4900
|
4900
|
2432445
|
{'FirstName': 'Ling', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ling Li', 'EmailAddress': '[email protected]', 'NSF_ID': '000743724', 'StartDate': '05/16/2024', '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': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': 'RI REQUIRED', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
|
{'Code': '762300', 'Text': 'BIOMATERIALS PROGRAM'}
|
['2023~24889', '2024~104100']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432445.xml'}
|
I-Corps: Translation Potential of a Tissue-Engineered Vein Valve
|
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 tissue-engineered vein valve intended as an effective treatment option for venous ulcer patients. If left untreated, this condition can lead to repeated ulcers and eventual amputation, inflating healthcare costs and resulting in significant patient suffering. Previous attempts at prosthetic vein valves have failed to combat the increased thrombogenicity (producing coagulation of the blood) of the venous system leading to device failure within weeks. The solution explored in this project could be the first device capable of providing a curative solution to these patients, transforming venous patient care.<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 novel tissue-engineered vein valve prosthesis that mimics the aligned collagen structure of native leaflets, providing a foundation for mechanical durability and endothelialization of the tissue material. The solution is a bileaflet valve encompassing a nitinol stent which, together with the innovative fabrication technique, is the basis for a filed patent application. The tissue engineered collagen material grown on the stent is a platform technology.<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
|
47.084
|
1
|
4900
|
4900
|
2432446
|
{'FirstName': 'Robert', 'LastName': 'Tranquillo', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert T Tranquillo', 'EmailAddress': '[email protected]', 'NSF_ID': '000220870', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': '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': 'Regents of the University of Minnesota', 'CityName': 'Minneapolis', 'StateCode': 'MN', 'ZipCode': '554552009', 'StreetAddress': 'Nils Hasselmo Hall, 312 Church St SE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MN05'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432446.xml'}
|
Conference: Rapidly Addressing Gaps and Solutions in AI Education for Bioprocessing and Smart Manufacturing in Biotech (RAGSAB)
|
NSF
|
09/15/2024
|
02/28/2025
| 48,420 | 48,420 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Steven Peretti', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924201'}
|
Artificial intelligence (AI) offers potential benefits for the design and operation of bioprocesses. This workshop will bring 150 participants from academia and industry to Los Angeles on Sept. 26-27. They will develop recommendations for bioscience-related AI education and training strategies. Graduate students, post-docs, and early career academics will provide a strong voice as practitioners learning and using cutting edge technology. <br/><br/>Interactive talks and round-table discussions will be used. Talks focused on emerging trends in AI for bioprocessing will set the tone for the workshop. Subsequent talks and round table discussions will touch on various aspects of curriculum development and delivery. Prominently featured will be discussions regarding the development of case studies and best practices for AI implementation, addressing ethical and regulatory considerations, and enhancing diversity and inclusion in AI education programs. An important component will be industry-academia collaboration in developing, delivering, and evaluating education and training strategies. The involvement of industrial moderators for the round table discussions and the crafting of roadmaps from those discussions is a unique strategy that will provide a practical perspective on industrial expectations for the use of AI tools.<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
|
47.041
|
1
|
4900
|
4900
|
2432457
|
[{'FirstName': 'Gargi', 'LastName': 'Ghosh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gargi Ghosh', 'EmailAddress': '[email protected]', 'NSF_ID': '000608111', 'StartDate': '07/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Saurav', 'LastName': 'Datta', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Saurav Datta', 'EmailAddress': '[email protected]', 'NSF_ID': '000825093', 'StartDate': '07/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Gabriel', 'LastName': 'Levesque Tremblay', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gabriel Levesque Tremblay', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A08VC', 'StartDate': '07/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'American Institute of Chemical Engineers', 'CityName': 'NEW YORK', 'ZipCode': '100055991', 'PhoneNumber': '6464951350', 'StreetAddress': '120 WALL ST', 'StreetAddress2': '23 FLO', 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'NY10', 'ORG_UEI_NUM': 'KLPNCLPDAS45', 'ORG_LGL_BUS_NAME': 'AMERICAN INSTITUTE OF CHEMICAL ENGINEERS', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'JW Marriott conference center', 'CityName': 'Los Angeles', 'StateCode': 'CA', 'ZipCode': '900151338', 'StreetAddress': '900 WEST OLYMPIC BOULEVARD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '37', 'CONGRESS_DISTRICT_PERF': 'CA37'}
|
{'Code': '149100', 'Text': 'Cellular & Biochem Engineering'}
|
2024~48420
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432457.xml'}
|
Conference: 12th African Materials Research Society (A-MRS) Conference 2024
|
NSF
|
09/01/2024
|
08/31/2025
| 49,000 | 49,000 |
{'Value': 'Standard Grant'}
|
{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}
|
{'SignBlockName': 'Souleymane Diallo', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928302'}
|
This award is being granted to the Materials Research Society (MRS) to primarily support travel and participation costs for American university students and young scientists attending the upcoming 12th African Materials Research Society (A-MRS 2024) conference. The conference will take place in Kigali, Rwanda from December 16th to 19th, 2024. Organized by the African Materials Research Society (AMRS) with strong backing from the US-based MRS, the core objective is to advance knowledge and enhance understanding in various fields of materials science and technology, to promote collaboration and progress in materials research, and fosters connections between researchers across the globe. The African-MRS conferences play a crucial role in unifying Africa's materials research community: These conferences bring together Africa's rapidly growing pool of materials researchers but also connecting Africa to global research by bridging the gap between African and international materials research, including the US. A key goal is to create a platform for leading scientists worldwide to interact with their African counterparts, fostering a deeper understanding of the impact of materials on development, the state of materials science in Africa, the research needs and collaboration opportunities. This year's conference will encompass a wide range of materials science topics, including nanotechnology, energy, and advanced materials.<br/><br/>The African-MRS conference is spearheaded by the African MRS, Rwandan and African scientists, and backed by the US-based MRS. It acts as a central hub, drawing researchers from across the continent. The conference bridges the gap between basic and applied research, fostering knowledge sharing, collaboration, and activities in the diverse fields of materials science. This year, roughly 500 attendees from Africa and globally are expected. Themes address both global concerns like energy and health, and African-specific needs like construction materials and sustainable biomaterials. Leading international experts will present new research and set future research directions. Highlighting the African MRS's commitment to education and building research capacity, the conference provides a unique platform for US and African students to interact with each other and leaders. This year's broad themes include biomaterials, agriculture, energy, construction, and nanotechnology, with a special session on the African Light Source project. Additionally, pre-conference workshops and sessions focusing on women and girls in science, and entrepreneurship are planned.<br/><br/>This project is jointly funded by the Division of Materials Research (DMR), the Division of Chemical Bioengineering, Environmental and Transport Systems (CBET), and the Historically Black Colleges and Universities – Undergraduate Program (HBCU-UP) within the Division of Equity for Excellence in STEM (EES). DMR supports fundamental experimental and theoretical materials research and education. CBET supports innovative research and education in the fields of chemical engineering, biotechnology, bioengineering, and environmental engineering. HBCU-UP provides awards to strengthen STEM undergraduate education and research at HBCUs.<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
|
47.041, 47.049, 47.076
|
1
|
4900
|
4900
|
2432458
|
[{'FirstName': 'Martin', 'LastName': 'Thuo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Martin Thuo', 'EmailAddress': '[email protected]', 'NSF_ID': '000678107', 'StartDate': '08/12/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Mallory', 'LastName': 'Starr', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mallory R Starr', 'EmailAddress': '[email protected]', 'NSF_ID': '000919583', 'StartDate': '08/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'Materials Research Society', 'CityName': 'WARRENDALE', 'ZipCode': '150867537', 'PhoneNumber': '7247792732', 'StreetAddress': '506 KEYSTONE DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_ORG': 'PA17', 'ORG_UEI_NUM': 'MFPJGRD1NWE3', 'ORG_LGL_BUS_NAME': 'MATERIALS RESEARCH SOCIETY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Materials Research Society', 'CityName': 'WARRENDALE', 'StateCode': 'PA', 'ZipCode': '150867537', 'StreetAddress': '506 KEYSTONE DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_PERF': 'PA17'}
|
[{'Code': '117900', 'Text': 'Nanoscale Interactions Program'}, {'Code': '159400', 'Text': 'Hist Black Colleges and Univ'}, {'Code': '171200', 'Text': 'DMR SHORT TERM SUPPORT'}]
|
2024~49000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432458.xml'}
|
MCA: Characterizing the role of alternative oxidases in marine bacteria
|
NSF
|
01/01/2024
|
08/31/2025
| 361,134 | 162,951 |
{'Value': 'Standard Grant'}
|
{'Code': '08070000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'MCB', 'LongName': 'Div Of Molecular and Cellular Bioscience'}}
|
{'SignBlockName': 'Bianca Garner', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927587'}
|
Bacteria are abundant on our planet, colonizing diverse environments and playing essential roles in important ecosystem processes such as nutrient cycling. They have an amazing diversity of pathways for generating the energy they need to live and function, and these pathways underlie their survival and ability to contribute to ecosystem processes. Despite this importance, there is a lack of knowledge of how the function of specific energy generation pathways connects to bacterial fitness and these organisms’ role in the function of our environment. This project focuses on better understanding how alternative oxidase (AOX), a component of energy-generating pathways of marine bacteria that play vital roles in nutrient cycling, functions in their growth and survival. This award will allow the investigator to develop skills they will use to discover how alternative oxidase is expressed and functions in diverse bacteria and begin to connect this to nutrient cycling pathways. In addition, the investigator will couple these research activities with student training, outreach to K-12 students in Hawaii and the mainland, and the development of new diversity, equity, and inclusion efforts at their home institution.<br/><br/>Research on AOX function in eukaryotes has been a very active area in recent years. Studies in plants, protists, fungi, and animals have revealed a common thread in AOX activity in helping cells deal effectively with environmental stresses and maintain energy balance. However, outside of the investigator’s work in Vibrio fischeri, the physiological role(s) of AOX in marine bacteria is essentially unexplored. Unanswered questions include how AOX functions in diverse bacteria and whether there are commonalities in physiological pathways in AOX-encoding bacteria or correlations between environmental conditions and the presence of aox-encoding bacteria. This project will address these knowledge gaps using three approaches: 1) microrespirometry along with genetic, biochemical, and molecular approaches to determine the physiological role of V. fischeri AOX under environmentally relevant conditions; 2) genetic, molecular, and biochemical approaches to understand the regulation and physiological contribution(s) of AOX in other diverse model marine bacteria; and 3) bioinformatic approaches to identify the genomic features and environmental conditions that correlate with aox abundance and expression. The results of this research will provide valuable new information about AOX regulation and function in bacteria and lay the foundation for further exploration of the influence of bacterial AOX on microbial physiology, marine ecosystem function, and biogeochemical cycling. These results will also provide insight into commonalities in the regulation and function of AOX in different kingdoms of life.<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
|
47.074
|
1
|
4900
|
4900
|
2432467
|
{'FirstName': 'Anne', 'LastName': 'Dunn', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anne K Dunn', 'EmailAddress': '[email protected]', 'NSF_ID': '000078670', 'StartDate': '07/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Oregon State University', 'CityName': 'CORVALLIS', 'ZipCode': '973318655', 'PhoneNumber': '5417374933', 'StreetAddress': '1500 SW JEFFERSON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oregon', 'StateCode': 'OR', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'OR04', 'ORG_UEI_NUM': 'MZ4DYXE1SL98', 'ORG_LGL_BUS_NAME': 'OREGON STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Oregon State University', 'CityName': 'CORVALLIS', 'StateCode': 'OR', 'ZipCode': '973318655', 'StreetAddress': '1500 SW JEFFERSON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oregon', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'OR04'}
|
{'Code': '801100', 'Text': 'Systems and Synthetic Biology'}
|
2022~162951
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432467.xml'}
|
Delivering Open, Accessible and Collaborative Infrastructure Enabling Multi-Messenger Astrophysics
|
NSF
|
01/01/2025
|
12/31/2027
| 2,275,504 | 2,275,504 |
{'Value': 'Standard Grant'}
|
{'Code': '03020000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'AST', 'LongName': 'Division Of Astronomical Sciences'}}
|
{'SignBlockName': 'Martin Still', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924290'}
|
Astrophysical sources are now being studied by simultaneously combining information from multiple messengers - gravitational waves, neutrinos and light. Each of these messengers are undergoing improvements in sensitivity by hardware upgrades. Hand-in-hand with hardware progress, urgent software progress is needed. The investigators will develop open-source and accessible software to deliver three major missing software needs. The program includes a real-time Zooniverse for classrooms that leverages longitudinal timezone differences to allow citizen scientists to tune into the excitement of real-time multi-messenger discovery, collaborations with the amateur astronomer community to further their contributions to multi-messenger discoveries, and the organization of a summer internship program for undergraduate and graduate students that is cross-institutional. <br/><br/>A 3-year proposal led by the California Institute of Technology spans the breadth of multi-messenger astrophysics, including electromagnetic counterparts to both gravitational wave sources and high energy neutrinos. The investigators propose to deliver three open and accessible software infrastructure projects that will boost discoveries for the entire multi-messenger community. First, enabling joint querying of heterogeneous discovery streams in real-time. This will boost both timely selection of the most viable multi-messenger candidates as well as timely rejection of the false positives. Second, facilitating active follow-up co-ordination between independent teams using a decentralized communications framework. This will enable optimal use of follow-up resources that are already the bottleneck in multi-messenger searches. Third, improving software for public low-latency gravitational wave alerts using inclination-based inference to refine electromagnetic counterpart search strategies. Together, these three software infrastructure pillars will amplify the power of collaborative discovery.<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
|
2432476
|
[{'FirstName': 'Joshua', 'LastName': 'Bloom', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joshua S Bloom', 'EmailAddress': '[email protected]', 'NSF_ID': '000062944', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Adam', 'LastName': 'Miller', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Adam A Miller', 'EmailAddress': '[email protected]', 'NSF_ID': '000630292', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Mansi', 'LastName': 'Kasliwal', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mansi M Kasliwal', 'EmailAddress': '[email protected]', 'NSF_ID': '000679213', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Michael', 'LastName': 'Coughlin', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael W Coughlin', 'EmailAddress': '[email protected]', 'NSF_ID': '000723566', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Shaon', 'LastName': 'Ghosh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shaon Ghosh', 'EmailAddress': '[email protected]', 'NSF_ID': '000815947', 'StartDate': '08/23/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'California Institute of Technology', 'CityName': 'PASADENA', 'ZipCode': '911250001', 'PhoneNumber': '6263956219', 'StreetAddress': '1200 E CALIFORNIA BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '28', 'CONGRESS_DISTRICT_ORG': 'CA28', 'ORG_UEI_NUM': 'U2JMKHNS5TG4', 'ORG_LGL_BUS_NAME': 'CALIFORNIA INSTITUTE OF TECHNOLOGY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'California Institute of Technology', 'CityName': 'PASADENA', 'StateCode': 'CA', 'ZipCode': '911250001', 'StreetAddress': '1200 E CALIFORNIA BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '28', 'CONGRESS_DISTRICT_PERF': 'CA28'}
|
{'Code': '107Y00', 'Text': 'WoU-Windows on the Universe: T'}
|
2024~2275504
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432476.xml'}
|
III: Small: Datasets, methods, and evaluation for personalized conversational recommenders
|
NSF
|
04/01/2025
|
03/31/2028
| 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': 'Cornelia Caragea', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922706'}
|
Conversational models are permeating all aspects of society, including systems for clinical support, education, gaming, etc. Such systems have remarkable capacity to personalize their outputs. For example, a user wishing for movie recommendations might describe their current circumstances and the types of movies they normally enjoy. In response, a language model might suggest a list of movies that use similar descriptions related to the request. This project will explore limitations of conversational models for problems related to personalized recommendation. Specific areas of focus include collecting new datasets for model training and evaluation; ensuring that language models recommend items fairly; and exploring evaluation protocols to make sure recommendations are aligned with human preferences. This project will have benefits in settings where language models are used to make personalized recommendations, spanning applications from movie recommendation to personalized clinical support.<br/><br/>General-purpose language models act as powerful conversational recommenders despite having never been trained for the specific purpose. This project will explore new approaches to conversational recommendation, revisiting issues of data, methodology, and evaluation. First, the project will collect new datasets that are large, naturalistic, highly contextual, and carefully annotated. Second, the project will explore knowledge grounding and controllability in conversational recommenders, especially with a goal of performing fairness and bias interventions. Finally, the project will explore model evaluation, especially by developing simulation approaches that allow conversational models to be evaluated offline by mimicking the behavior of real users. This project extends research in each of the areas in which it builds: recommender systems, NLP, controllability, and fairness. Closing the research gap between these areas enables a host of exciting new applications dealing with mixed datasets that combine language with user interaction data, ranging from standard recommendation problems, to personalized language understanding tasks in fashion, health, and therapy, among others. The project aims at fostering the retention and involvement of groups including underrepresented minorities, high-schoolers, and engineering professionals.<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
|
47.070
|
1
|
4900
|
4900
|
2432486
|
{'FirstName': 'Julian', 'LastName': 'McAuley', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Julian J McAuley', 'EmailAddress': '[email protected]', 'NSF_ID': '000678937', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of California-San Diego', 'CityName': 'LA JOLLA', 'ZipCode': '920930021', 'PhoneNumber': '8585344896', 'StreetAddress': '9500 GILMAN DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_ORG': 'CA50', 'ORG_UEI_NUM': 'UYTTZT6G9DT1', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, SAN DIEGO', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of California-San Diego', 'CityName': 'LA JOLLA', 'StateCode': 'CA', 'ZipCode': '920930021', 'StreetAddress': '9500 GILMAN DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_PERF': 'CA50'}
|
{'Code': '736400', 'Text': 'Info Integration & Informatics'}
|
2024~600000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432486.xml'}
|
Conference: Expanding Geographic and Institutional Diversity in CISE
|
NSF
|
06/15/2024
|
05/31/2025
| 99,746 | 99,746 |
{'Value': 'Standard Grant'}
|
{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}
|
{'SignBlockName': 'Jeffrey Forbes', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032925301'}
|
The Computing Research Association seeks to increase the representation of NSF Computer and Information and Science and Engineering (CISE) awards to organizations across the twenty-eight (28) Established Program to Stimulate Competitive Research (EPSCoR) eligible jurisdictions. While there is significant funding available to computing researchers in EPSCoR jurisdictions, there have been historically lower than desired submission rates of grant proposals to the National Science Foundation. This project seeks to ensure that research and innovation are not confined to geographical boundaries but are inclusive and collaborative across the nation by involving EPSCoR jurisdictions in more NSF CISE grants, and building partnerships with institutions in EPSCoR jurisdictions. This project will provide travel stipends to computing research leaders in EPSCoR jurisdictions who would otherwise be unable to attend the planned program.<br/><br/>The goal of this project is to host a 3-hour session in advance of the 2024 CRA Conference at Snowbird where (1) computing research leaders at institutions in EPSCoR jurisdictions learn about NSF funding opportunities from NSF Division Directors and (2) Division Directors learn from these research leaders about barriers their computing research faculty face in submitting proposals for funding. Attending computing research leaders at institutions in EPSCoR jurisdictions will then share what they learn with their computing research faculty in their institutions. We expect to learn the barriers that computing faculty from institutions in EPSCoR jurisdictions have in submitting proposals to NSF CISE. We also expect to learn strategies or actions to reduce these barriers. The ultimate goal of this project is an increase in the number of proposal submissions to NSF from institutions in EPSCoR jurisdictions in future years. Increasing the number of proposals submitted from EPSCoR jurisdictions (and, presumably, the number of funded grants to EPSCoR jurisdictions) will advance computing research in EPSCoR jurisdictions.<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.
|
06/23/2024
|
06/23/2024
|
None
|
Grant
|
47.070
|
1
|
4900
|
4900
|
2432490
|
{'FirstName': 'Tracy', 'LastName': 'Camp', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tracy K Camp', 'EmailAddress': '[email protected]', 'NSF_ID': '000323256', 'StartDate': '06/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Computing Research Association', 'CityName': 'WASHINGTON', 'ZipCode': '200365104', 'PhoneNumber': '2022662949', 'StreetAddress': '1828 L ST NW', 'StreetAddress2': 'STE 800', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'GL8EKK2U5YE9', 'ORG_LGL_BUS_NAME': 'COMPUTING RESEARCH ASSOCIATION INC', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Computing Research Association', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200365104', 'StreetAddress': '1828 L ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}
|
{'Code': '164000', 'Text': 'Information Technology Researc'}
|
2024~99746
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432490.xml'}
|
SBIR Phase I: Scalable optimization-based wire routing software for custom circuit design
|
NSF
|
09/01/2024
|
08/31/2025
| 275,000 | 275,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Ela Mirowski', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922936'}
|
The broader/commercial impact of this Small Business Innovation Research Phase I project is in increasing competitiveness of the United States in electronic design automation (EDA) of custom circuits comprising analog/mixed-signal integrated circuits, micro-electro-mechanical systems, and opto-electronics. As opposed to the mature design automation standards of digital circuits, the design workflows of custom circuits remain highly manual due to a wider range of electromagnetic sensitivities and signal couplings that must be accommodated. Despite the advancements in artificial intelligence (AI) and abundance of compute power, many commercial EDA tools of the multibillion-dollar custom circuit industry still rely on heuristics and procedural routing approaches that require several days of human efforts to provide wire blueprints of a layout. This project develops an AI-powered software tailored for custom circuits that may alleviate days of routing trial and error and guarantees performance of the finalized wired circuit. The proposed technology allows for producing custom chips and devices faster and at a fraction of the cost, enhances circuit security as it incentivizes small businesses to complete circuit routing within the nation, and additionally lowers the skill and experience barrier for the American workforce to enter the electronic design profession. <br/><br/>The proposed project will capitalize on techniques from graph theory, operations research, and AI to arrive at an automated wire routing software that supports the wide variety of complex design rules prevalent in custom integrated circuits with thousands of devices. The crux of this technology is based on three proposed innovations: The first innovation is in application of graph search methodologies to succinctly identify all routable regions of a layout. The second innovation is the development of comprehensive and accurate mathematical models of design rules that, if satisfied, guarantees the performance of the resulting circuit. The third innovation is the devise of an AI-powered solver to find realizable wire routes satisfying all bespoke design rules without requiring manual and time-consuming human expert interventions. The inherent structure of custom circuits such as symmetry and paired wirings are embedded as algorithmic guidance into the AI-powered solver to expeditiously calculate feasible routes for each circuit. The software is created with fabrication cost optimizations in mind and excels in applications that minimize routing layers to maximize signal to noise ratios. The software will be shipped with input and output interfaces to commonly used EDA tools to facilitate its adoption by the 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.
|
08/16/2024
|
08/16/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2432498
|
{'FirstName': 'Pouya', 'LastName': 'Motakef', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Pouya Motakef', 'EmailAddress': '[email protected]', 'NSF_ID': '000996999', 'StartDate': '08/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'XMIZE LLC', 'CityName': 'MCLEAN', 'ZipCode': '221023125', 'PhoneNumber': '8056987120', 'StreetAddress': '8220 CRESTWOOD HEIGHTS DR', 'StreetAddress2': 'APT 406', 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'VA11', 'ORG_UEI_NUM': 'SK8YG7F925N5', 'ORG_LGL_BUS_NAME': 'XMIZE LLC', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'XMIZE LLC', 'CityName': 'MCLEAN', 'StateCode': 'VA', 'ZipCode': '221023125', 'StreetAddress': '8220 CRESTWOOD HEIGHTS DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'VA11'}
|
{'Code': '537100', 'Text': 'SBIR Phase I'}
|
2024~275000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432498.xml'}
|
I-Corps: Translation Potential of Ultra-Flexible, Liposomal, Lidocaine Gel
|
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 ultra-flexible, liposomal, lidocaine gel. This innovative product addresses the limitations of current topical anesthetics by providing a more rapid onset of numbing and deeper tissue penetration. The enhanced efficiency can significantly improve patient comfort and clinical workflows, particularly in settings like dermatology and minor surgical procedures where quick pain relief is essential. Commercially, the gel reduces procedural delays and increases the throughput of a medical practices, thereby enhancing overall healthcare efficiency. <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 novel liposomal drug delivery platform. The core technology involves ultra-flexible liposomes capable of penetrating skin barriers more efficiently than current products, delivering lidocaine directly to pain receptors for quicker and longer-lasting relief. The research underpinning this project demonstrated the liposomes' enhanced skin permeability and efficacy in preclinical models, showing significant improvements over existing formulations. This technological advance not only promises to elevate the standard of care in pain management but also sets the stage for future applications of the liposomal delivery system in other therapeutic areas.<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
|
2432508
|
{'FirstName': 'Kanneboyina', 'LastName': 'Nagaraju', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kanneboyina Nagaraju', 'EmailAddress': '[email protected]', 'NSF_ID': '000825981', 'StartDate': '06/17/2024', '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': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432508.xml'}
|
Collaborative Research: New Algorithms and Theory for Weakly Coupled Markov Decision Processes
|
NSF
|
10/01/2024
|
09/30/2027
| 275,000 | 275,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
|
{'SignBlockName': 'Anthony Kuh', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924714'}
|
Decision-making in many fields involves managing complex systems made up of smaller, interconnected parts. These systems can be modeled using weakly coupled Markov decision processes (WCMDPs), which are groups of smaller Markov decision processes (MDPs) linked by shared constraints. WCMDPs are applicable in various fields such as job scheduling, resource allocation, electric vehicle charging, and supply chain management. However, despite their widespread application, many fundamental questions on WCMDPs remain unanswered. Efficiently computing near-optimal decision rules, i.e., policies, for WCMDPs is still an open problem. Furthermore, when the problem parameters are unknown, reinforcement learning (RL) approaches are needed, but effective RL algorithms for WCMDPs are currently lacking. A key challenge is that the shared constraints create coupling among the smaller MDPs, which prevents making decisions for each MDP individually and thus leads to hardness results when the number of MDPs is large.<br/> <br/><br/>This proposal aims to establish a theoretical foundation and innovate algorithm designs for WCMDPs. The proposed research will develop theory and techniques to “decouple” large WCMDPs into their smaller parts and then “reassemble” them properly. This research will draw on a new approach devised in the preliminary work, named the “one-to-many” approach, for tackling decision-making in large, complex stochastic systems. This new approach will be combined with classical techniques from large stochastic systems, including the Lyapunov drift method, Stein’s method, and rate conservation law, as well as recent advances in reinforcement learning. The algorithms and theory developed in the above research will be evaluated in both simulated problems and in the resource management problem in large-scale computing systems, using real-world data traces from Google’s datacenters. The results from this project are expected to enrich the traditional algorithms and theory not only for WCMDPs but also for large-scale MDPs in general. This research will be accompanied by curriculum development, mentoring programs, and initiatives at conferences designed to recruit students from underrepresented backgrounds into research on decision-making in large stochastic 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
|
2432545
|
{'FirstName': 'Weina', 'LastName': 'Wang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Weina Wang', 'EmailAddress': '[email protected]', 'NSF_ID': '000800768', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'PA12', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}
|
{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'StateCode': 'PA', 'ZipCode': '152133815', 'StreetAddress': '5000 FORBES AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}
|
{'Code': '760700', 'Text': 'EPCN-Energy-Power-Ctrl-Netwrks'}
|
2024~275000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432545.xml'}
|
Collaborative Research: New Algorithms and Theory for Weakly Coupled Markov Decision Processes
|
NSF
|
10/01/2024
|
09/30/2027
| 275,000 | 275,000 |
{'Value': 'Standard Grant'}
|
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
|
{'SignBlockName': 'Anthony Kuh', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924714'}
|
Decision-making in many fields involves managing complex systems made up of smaller, interconnected parts. These systems can be modeled using weakly coupled Markov decision processes (WCMDPs), which are groups of smaller Markov decision processes (MDPs) linked by shared constraints. WCMDPs are applicable in various fields such as job scheduling, resource allocation, electric vehicle charging, and supply chain management. However, despite their widespread application, many fundamental questions on WCMDPs remain unanswered. Efficiently computing near-optimal decision rules, i.e., policies, for WCMDPs is still an open problem. Furthermore, when the problem parameters are unknown, reinforcement learning (RL) approaches are needed, but effective RL algorithms for WCMDPs are currently lacking. A key challenge is that the shared constraints create coupling among the smaller MDPs, which prevents making decisions for each MDP individually and thus leads to hardness results when the number of MDPs is large.<br/> <br/><br/>This proposal aims to establish a theoretical foundation and innovate algorithm designs for WCMDPs. The proposed research will develop theory and techniques to “decouple” large WCMDPs into their smaller parts and then “resemble” them properly. This research will draw on a new approach devised in the preliminary work, named the “one-to-many” approach, for tackling decision-making in large, complex stochastic systems. This new approach will be combined with classical techniques from large stochastic systems, including the Lyapunov drift method, Stein’s method, and rate conservation law, as well as recent advances in reinforcement learning. The algorithms and theory developed in the above research will be evaluated in both simulated problems and in the resource management problem in large-scale computing systems, using real-world data traces from Google’s datacenters. The results from this project are expected to enrich the traditional algorithms and theory not only for WCMDPs but also for large-scale MDPs in general. This research will be accompanied by curriculum development, mentoring programs, and initiatives at conferences designed to recruit students from underrepresented backgrounds into research on decision-making in large stochastic 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
|
2432546
|
{'FirstName': 'Qiaomin', 'LastName': 'Xie', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Qiaomin Xie', 'EmailAddress': '[email protected]', 'NSF_ID': '000806218', 'StartDate': '08/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Wisconsin-Madison', 'CityName': 'MADISON', 'ZipCode': '537151218', 'PhoneNumber': '6082623822', 'StreetAddress': '21 N PARK ST STE 6301', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Wisconsin', 'StateCode': 'WI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'WI02', 'ORG_UEI_NUM': 'LCLSJAGTNZQ7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WISCONSIN SYSTEM', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Wisconsin-Madison', 'CityName': 'MADISON', 'StateCode': 'WI', 'ZipCode': '537151218', 'StreetAddress': '21 N PARK ST STE 6301', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Wisconsin', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'WI02'}
|
{'Code': '760700', 'Text': 'EPCN-Energy-Power-Ctrl-Netwrks'}
|
2024~275000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432546.xml'}
|
Travel: Student Travel for the 2024 International Workshop on Bio-Design Automation (IWBDA)
|
NSF
|
08/15/2024
|
07/31/2025
| 10,000 | 10,000 |
{'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': 'Mitra Basu', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928649'}
|
The 16th International Workshop on Bio-Design Automation (IWBDA) 2024 takes place in Boston from September 16th to September 20th and will bring together researchers from electronic design automation (the practice of using computer software to build complex electronics) and synthetic biology (the forward design of novel biological systems using engineering principles). The goal of IWBDA is to make biology more easily, robustly, reliably, and predictably engineered and therefore, tackle challenges in biology and medicine, leading to advances in disease diagnosis, treatment and prevention. This award provides travel assistance for ten undergraduate and graduate students to attend this workshop to present research, participate in a computer programming competition, and network with a large community of industrial and academic researchers. These participants will go on to form the foundation of the field in the future.<br/> <br/>Specifically these students will join a wide variety of researchers (120+) from electronic design automation and synthetic biology in a unique context which does not exist elsewhere. They will have access to between twelve and fifteen technical talks over two days, two invited lectures, ten to twenty posters, multiple group discussion sessions, and a featured student programming competition (BDAthlon).<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
|
47.070
|
1
|
4900
|
4900
|
2432555
|
{'FirstName': 'Natasa', 'LastName': 'Miskov-Zivanov', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Natasa Miskov-Zivanov', 'EmailAddress': '[email protected]', 'NSF_ID': '000618493', 'StartDate': '06/20/2024', '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': '089Y00', 'Text': 'FET-Fndtns of Emerging Tech'}
|
2024~10000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432555.xml'}
|
I-Corps: Translation Potential of a Multimodal, Human-Robot Teaching-Learning-Collaboration Framework to Advance Manufacturing Flexibility and Productivity
|
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 innovative human teaching and robot learning methods aimed at advancing robot-assisted manufacturing systems to enhance manufacturing flexibility and productivity for stakeholders. The technology could mitigate the limitations of traditional robot programming and control approaches by developing an easy-to-use, teaching-learning-collaboration framework, in which the robot can be efficiently programmed by human demonstrations. This solution enables the human-robot dyad to act in a sociable partnership to facilitate semi-automation of customized, collaborative, industrial tasks, such as manufacturing and food processing. The solution is human-compatible and quickly transferable, allowing industry sectors to rapidly expand automation of their operations without long periods of implementation. <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 multimodal, teaching-learning-collaboration framework for a robot to actively learn from human demonstrations and participate with humans in collaborative tasks. In this framework, the human worker can intuitively teach the robot to perform tasks using natural, multimodal information such as natural language, natural gesture information, gaze information, and vision sensing information. The manufacturing task operations can then be characterized through this multimodal information. The robot learns parameterized human demonstrations and builds task strategies using artificial intelligence-driven algorithms. The robot is then able to assist its human partner in shared tasks through its learned knowledge and the developed human-robot collaboration model. The solution could improve robot programming efficiency and collaboration quality for human-robot teams in smart manufacturing and other robot-assisted collaborative contexts.<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
|
2432565
|
{'FirstName': 'Weitian', 'LastName': 'Wang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Weitian Wang', 'EmailAddress': '[email protected]', 'NSF_ID': '000824745', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Montclair State University', 'CityName': 'MONTCLAIR', 'ZipCode': '070431624', 'PhoneNumber': '9736556923', 'StreetAddress': '1 NORMAL AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'NJ11', 'ORG_UEI_NUM': 'CM4TTRKFCLF9', 'ORG_LGL_BUS_NAME': 'MONTCLAIR STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Montclair State University', 'CityName': 'MONTCLAIR', 'StateCode': 'NJ', 'ZipCode': '070431624', 'StreetAddress': '1 NORMAL AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Jersey', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'NJ11'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432565.xml'}
|
I-Corps: Translation potential of a microneedle bandage for treating Borrelia skin infections
|
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 a doxycycline-loaded microneedle bandage that patients can apply over a tick bite to kill the Borrelia burgdorferi, the cause of Lyme Disease. This technology empowers consumers with an immediate and powerful preventative approach that will disrupt the current standard of care and move consumers and the healthcare community toward a proactive approach for treating tick bites. If widely adopted, this product could prevent approximately 200,000 cases of acute Lyme Disease and 20,000 cases of post-treatment Lyme Disease Syndrome per year in the United States alone. The current practice of treating tick bites either prophylactically or after the appearance of a bullseye rash with high oral doses of antibiotics has risks including drug allergy, intestinal dysbiosis, sun sensitivity, and dental issues that could be avoided with locally acting, low-dose microneedle bandages. Efficacy has been demonstrated in microneedle patches targeting other dermal bacterial infections, providing a solid rationale for this approach. As no product like this has been marketed to date, there is considerable opportunity for preventing Lyme Disease and potentially for other dermal infections prone to systemic dissemination. <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 therapeutic bandage comprising of highly innovative biodegradable microneedles in conjunction with a novel bandage matrix. Several innovations make this possible. First, the microneedles penetrate the dermal tissue surrounding the tick bite for highly localized dermal drug delivery. Upon contact with interstitial fluid, the microneedle tips dissolve rapidly and delivers doxycycline. Secondly, the microneedle bases dissolve slowly, releasing a host-directed therapeutic agent which recruits and activates immune cells to kill any bacteria that survive the initial antibiotics. After the microneedle tips dissolve, a bidirectional microchannel is exposed, facilitating drainage. Four prototyping rounds have occurred, and testing has begun in two animal models, plus explanted (living) human skin. The structural integrity, dissolution characteristics, and doxycycline stability throughout the microneedle formulation and molding process have been assessed. Using two fluorescent dyes, the kinetics of drug release and neutrophil migration to the site of microneedle application in mice and pigs has been documented.<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
|
2432569
|
{'FirstName': 'Jessica', 'LastName': 'Malek', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jessica B Malek', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A03P4', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Connecticut', 'CityName': 'STORRS', 'ZipCode': '062699018', 'PhoneNumber': '8604863622', 'StreetAddress': '438 WHITNEY RD EXTENSION UNIT 11', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CT02', 'ORG_UEI_NUM': 'WNTPS995QBM7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CONNECTICUT', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Connecticut', 'CityName': 'STORRS', 'StateCode': 'CT', 'ZipCode': '062699018', 'StreetAddress': '438 WHITNEY RD EXTENSION UNIT 1133', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Connecticut', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CT02'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432569.xml'}
|
CAREER: Exact Actuation of Magnetic Field Forces Across All DOF in Electric Motors
|
NSF
|
11/15/2023
|
01/31/2025
| 500,000 | 225,480 |
{'Value': 'Continuing 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'}
|
Title: CAREER: Exact Actuation of Magnetic Field Forces Across All Degrees of Freedom in Electric Motors <br/><br/>Abstract:<br/><br/>Non-technical description: Electric motors are responsible for transporting the world's supply of fresh water, heating and cooling homes and offices, driving critical medical and surgical equipment, and, increasingly, operating transportation systems. The efficiency of this technology is vital in enabling energy sustainability and reducing humanity's carbon footprint. Conventional electric motors rely on bearings to support their shafts. Unfortunately, these bearings have critical lifetime, reliability, and efficiency shortcomings that limit the electrification of transportation systems, the utilization of renewable generation technologies, and the efficiency of fluid handling infrastructure. This project will investigate a new type of motor that does not use bearings. The new bearingless motors will utilize electric current to create controllable magnetic forces that function as set of bearings. The new motors will look and behave in fundamentally different ways that will enable new, extremely efficient, and ultra-reliable systems. This project targets a 9% reduction in US electric energy consumption by enabling new concepts in compressor systems, electrified transportation, renewable energy generation, and energy storage. To translate these research outcomes into the real world, the project incorporates engagement of both the technical community and general public. Beyond the research outcomes, the team's outreach activities will facilitate development of the diverse STEM workforce needed to maintain US leadership in electromechanical power conversion. The team will develop interactive public exhibits of motor and levitation technology and host STEM-enriched experiences aimed at increasing interest and participation in STEM opportunities for middle and high school females and youth from rural, economically disadvantaged regions.<br/><br/>Technical Description: The objective of this research is to overcome fundamental challenges of both conventional motor bearings and magnetic bearings. While today's electric motors utilize and control only one degree of freedom (rotation) this project will develop a new generation of electric motors that are precisely actuated in all six degrees of freedom. These new motors will utilize magnetic field forces that are already present within the motor to create a completely bearingless motor that levitates its own shaft. Modelling, control, and design techniques will be developed to unify the science of electric motors and magnetic levitation. The project will use analytic and numeric modeling approaches to create a framework that models the normal and tangential magnetic stresses on the rotor's surface. This framework will be used to determine the required stator currents needed to produce exact force and torque vectors on the motor's shaft. The project will research optimal design of these new motors and test prototypes to validate this new science. The team will develop the science of bearingless motors for both high speed motor systems (industrial compressors and power grid flywheel energy storage) and low speed motor systems (large diameter, rim-driven motors for flight electrification). The outcomes of the research will be disseminated through the standard channels of academic research (presentations and papers) as well as through the construction of a portable bearingless motor prototype that will be exhibited in public demonstrations, conferences, and visits to research institutes. The team will also develop open source, interactive laboratory electronics kits to demonstrate the principles of magnetic levitation and electromechanical power conversion that will be promoted to allow youth to develop county fair exhibits, lifelong learners to explore electromechanical principles, and teachers to adapt the material for their curriculum.<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
|
1
|
4900
|
4900
|
2432574
|
{'FirstName': 'Eric', 'LastName': 'Severson', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eric L Severson', 'EmailAddress': '[email protected]', 'NSF_ID': '000760020', 'StartDate': '06/12/2024', 'EndDate': None, 'RoleCode': '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': '200 OAK ST SE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MN05'}
|
{'Code': '760700', 'Text': 'EPCN-Energy-Power-Ctrl-Netwrks'}
|
['2020~115573', '2021~109907']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432574.xml'}
|
I-Corps: Translation potential of critical metal aqueous separation technologies
|
NSF
|
06/15/2024
|
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 a highly selective electrochemical separation technology that provides users with the ability to reduce the cost and environmental footprint of metal recovery processes. Such a technology can be used in numerous natural resource extraction processes. The ability of mining operators to reduce the freshwater consumption and eliminate the consumption of toxic chemicals could expand the production of metals critical to the energy transition. In the production of lithium from hypersaline aquifers, lithium producers could utilize such a technology to improve the purity of lithium products and reduce the environmental footprint. Additionally, this highly selective separation technology could allow lithium companies to economically extract lithium from domestic resources in the United States. This I-Corps project thus has the potential to reduce dependence on fragile and complex supply chains. The increased supply of lithium and other critical metal products would enable battery manufacturers to advance the performance of their products, decreasing the costs, and increase the adoption of electric vehicles and battery-based energy storage systems.<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 highly selective, low-freshwater consuming, and renewable electricity-powered electrochemical separation technology that leverages a novel electrical-switch system to operate continuously. This electrochemical separation technology has demonstrated exceptional selectivity for removing monovalent cations from complex ionic solutions while minimizing energy consumption. Further research is being conducted to investigate membrane and electrode material combinations to improve lithium selectivity, increase cycling stability, and further minimize energy consumption. Novel electrode and membrane materials are also being investigated to explore the efficacy of this novel platform for extracting other critical metals from aqueous solutions including other alkali, alkaline, or transition metals from natural resources. This project has commercial potential in the recovery of critical metals from natural resources and aqueous waste streams.<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.
|
06/11/2024
|
06/11/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2432584
|
{'FirstName': 'Shihong', 'LastName': 'Lin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shihong Lin', 'EmailAddress': '[email protected]', 'NSF_ID': '000693821', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Vanderbilt University', 'CityName': 'NASHVILLE', 'ZipCode': '372032416', 'PhoneNumber': '6153222631', 'StreetAddress': '110 21ST AVE S', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'TN05', 'ORG_UEI_NUM': 'GTNBNWXJ12D5', 'ORG_LGL_BUS_NAME': 'VANDERBILT UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Vanderbilt University', 'CityName': 'NASHVILLE', 'StateCode': 'TN', 'ZipCode': '372032416', 'StreetAddress': '110 21ST AVE S', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Tennessee', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'TN05'}
|
{'Code': '802300', 'Text': 'I-Corps'}
|
2024~50000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432584.xml'}
|
Conference: Workshop for Enhancing America's Deep Tech Commercialization Pipeline
|
NSF
|
09/01/2024
|
08/31/2025
| 99,054 | 99,054 |
{'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'}
|
It is critically important to resolve systemic challenges that have hindered the transfer of fundamental research discoveries at academic labs out to the marketplace to achieve lasting and positive societal benefits. Despite many efforts by public, academic, and private stakeholders, many promising innovations based on Federally funded scientific research fail to become products and services that benefit society due to a variety of reasons. Some of these failure points are inherent to the risks all startups face. However, other failure points relate to process, information sharing, or infrastructure challenges unique to deep tech academic innovations that should be avoidable. The Workship for Enhancing America's Deep Tech Commercialization Pipeline aims to highlight and address failure points specific to university researchers, startups, and spinouts. Commercialization experts will be invited to participate in discussions focused on scoping and prioritizing these challenges and identifying processes, platforms, and partners to include in the solution design process. The workshop's central goal is to better support America’s deep tech commercialization enterprise by identifying missed opportunities, making actionable suggestions for adjusting poorly envisioned components, expanding commercialization programs in relevant adjacencies, and removing roadblocks that limit success. <br/><br/>The Workshop for Enhancing America's Deep Tech Commercialization Pipeline aims to establish a robust framework for building solutions to systemic challenges in deep tech commercialization, accelerating the transition of science-based innovations from the lab to the market. Breakout discussions will focus on identifying gaps and formulating new goals, resources, metrics, research, strategies, or other approaches to address systemic challenges or unmet needs. Findings and opportunities will be shared in a report distributed through the Columbia Tech Ventures website.<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.
|
08/27/2024
|
08/27/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2432586
|
{'FirstName': 'Dmytro', 'LastName': 'Pokhylko', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dmytro Pokhylko', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A0067', 'StartDate': '08/27/2024', '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': '615 W 131ST ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'NY13'}
|
{'Code': '226Y00', 'Text': 'Special Projects'}
|
2024~99054
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432586.xml'}
|
LTREB Renewal: Resource pulses and the dynamics of rodents, ticks, and Lyme-disease risk in oak forests
|
NSF
|
04/01/2025
|
03/31/2030
| 600,000 | 471,214 |
{'Value': 'Continuing Grant'}
|
{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}
|
{'SignBlockName': 'Betsy Von Holle', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924974'}
|
Lyme disease is one of the most frequently reported infectious diseases in the United States, with roughly 500,000 new cases each year. Risk of exposure to Lyme disease and associated tick-borne diseases varies dramatically from place to place and from year to year. Research that determines what causes this variation is critical in preventing and managing these diseases. The ticks that transmit these diseases to people feed on many different animal species, but rodents like white-footed mice and chipmunks are the most important in boosting tick numbers and tick infection. Numbers of these rodents, in turn, depend on the supply of acorns and other tree seeds. Weather and climate affect the trees, the rodents, and the ticks directly. This research is designed to improve the ability to predict Lyme disease risk, which can have major implications for human health. It asks how each stage in the complex life cycle of the tick responds to rodent numbers and to climate, how the rodents are affected by their predators, and how long-term changes in the forest, including the species and ages of the trees, affect the food supply for rodents and deer.<br/><br/>The research will collect new data on numbers and survival of both on-host and off-host ticks in the larval, nymphal, and adult stages and integrate these into full models of tick population changes through time. It will ask how temperature and humidity on the forest floor affects survival of these life stages. It will continue adding to a 30-year data set asking how the production of seeds by forest trees changes as the climate and relative abundances of tree species change over time. The occurrence of predators such as bobcats, foxes, and coyotes will be monitored using camera traps to investigate possible impacts on rodents, ticks, pathogen prevalence, and Lyme disease risk. The data will be used to develop and evaluate forecasts for Lyme disease risk from the component parts.<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
|
2432607
|
[{'FirstName': 'Richard', 'LastName': 'Ostfeld', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Richard S Ostfeld', 'EmailAddress': '[email protected]', 'NSF_ID': '000115618', 'StartDate': '07/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Shannon', 'LastName': 'LaDeau', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shannon L LaDeau', 'EmailAddress': '[email protected]', 'NSF_ID': '000512813', 'StartDate': '07/30/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Cary Institute of Ecosystem Studies, Inc.', 'CityName': 'MILLBROOK', 'ZipCode': '125455721', 'PhoneNumber': '8456777600', 'StreetAddress': '2801 SHARON TPKE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_ORG': 'NY18', 'ORG_UEI_NUM': 'ZFCRKN45MMD6', 'ORG_LGL_BUS_NAME': 'CARY INSTITUTE OF ECOSYSTEM STUDIES, INC', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Cary Institute of Ecosystem Studies, Inc.', 'CityName': 'MILLBROOK', 'StateCode': 'NY', 'ZipCode': '125455721', 'StreetAddress': '2801 SHARON TPKE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_PERF': 'NY18'}
|
{'Code': '112800', 'Text': 'Population & Community Ecology'}
|
2024~471214
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432607.xml'}
|
C2H2 EAGER: Valley fever incidence, spread and future expansion in Texas
|
NSF
|
07/15/2024
|
06/30/2025
| 262,227 | 262,227 |
{'Value': 'Standard Grant'}
|
{'Code': '06010000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'RISE', 'LongName': 'Div of Res, Innovation, Synergies, & Edu'}}
|
{'SignBlockName': 'Barbara Ransom', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927792'}
|
Valley Fever, also known by its medical name - Coccidioidomycosis, is an emerging infectious disease caused by the inhalation of Coccidioides fungal spores. This causes respiratory infections that can range from mild symptoms to severe pulmonary or disseminated disease. The Coccidioides fungus preferentially grows in warm, water-limited environments of the Southwestern USA; and approximately 20,000 cases are reported there each year. With the onset of climate change and increasing incidence of both drought and extreme rainfall events, the endemic range of the disease is expected to expand in the near future. This research investigates the distribution of Coccidioides in West Texas soils and correlates this and the soil environmental conditions conducive to fungal growth. These data will be combined with data on current and recent Valley Fever incidents in the general population and predict where affliction incidence and transmission rates in humans could be high. Broader impacts of the project include support education and cross-training of a graduate student in both geoscience and the health implications of climate-driven environmental changes. It will also increase collaboration and knowledge/skill exchange between academic institutions, USDA-ARS, city and state public health departments, and healthcare professionals in the West Texas region. Outreach and engagement activities through Texas Tech Climate Center’s social media pages and public seminars will allow for the research team to communicate the research findings to the public and communities in West Texas to increase awareness and causes of Valley Fever. <br/><br/>Coccidioidomycosis, or Valley Fever, is presently a reportable disease in a number of US states. There is potential, however, and the strong liklihood of its expansion to new regions of the US because of climate chnge. This project studies the soil/geological environmenta and ecological niche of the Coccidioides fungus that is responsible, in West Texas, for Valley Fever. It will also examine details on how West Texas communities and residents are exposed to this disease and the conditions that could spread the disease to other regions. Due to its climatic suitabilty for the growth of the infecting fungus and the diversity and abundance of its small mammal population and frequent dust storms, West Texas is the ideal location to study the environmental conditions ripe for human contraction of Valley Fever. In addition, in West Texas many people work outdoors in hot dry weather due to the large presence of the oil and gas and renewable energy industries; and this can expose them to inhalation of air borne Valley Fever fungal spores. To examine both the environmental and human components of the disease, the research uses a combination of field testing of soil moisture and erodibility with a portable wind erosion simulator, laboratory tests to determine the distribution of Coccidioides in soil and dust samples collected from selected study sites, and meteorological data analytical work to generate quantitative metrics of oscillating wet and dry periods. The lengths, severity, impact on local meteorological conditions of dust emission and transport will also be studied; and population surveys, in which participants will be recruited via pop-up booths at local businesses, will be used to study the current and recent incedences of coccidioidomycosis infection.<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.
|
07/11/2024
|
07/11/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2432608
|
[{'FirstName': 'Jennifer', 'LastName': 'Head', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jennifer R Head', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A00MW', 'StartDate': '07/11/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Robert', 'LastName': 'Van Pelt', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert S Van Pelt', 'EmailAddress': '[email protected]', 'NSF_ID': '000822650', 'StartDate': '07/11/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Sandip', 'LastName': 'Pal', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sandip Pal', 'EmailAddress': '[email protected]', 'NSF_ID': '000880667', 'StartDate': '07/11/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Abinash', 'LastName': 'Bhattachan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Abinash Bhattachan', 'EmailAddress': '[email protected]', 'NSF_ID': '000858885', 'StartDate': '07/11/2024', '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': '300Y00', 'Text': 'Climate Impact on Human Health'}
|
2024~262227
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432608.xml'}
|
DASI Track 1: Student-Led Development of an Advanced yet Low-cost Multi-Constellation, Triple Frequency Ionospheric Scintillation and Electron Content Monitor
|
NSF
|
11/15/2024
|
10/31/2028
| 1,427,188 | 416,131 |
{'Value': 'Continuing Grant'}
|
{'Code': '06020200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
|
{'SignBlockName': 'Roman Makarevich', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927207'}
|
Global Navigation Satellite Systems (GNSS) such as the US Global Positioning System are satellite constellations that provide positioning, navigation, and timing services on a global or regional basis. They play an even-increasing role in the modern economy but at the same time are commonly used for remote sensing of the near-Earth plasma environment. This is because disturbances in the total electron content (TEC) can be detected by ground-based GNSS receivers and imaged by dense GNSS receiver networks. GNSS signals are also used to study ionospheric effects of small-scale structures in the upper atmosphere since they cause rapid variations in the signal phase and/or amplitude called scintillation. <br/><br/>This project will create an advanced, yet low-cost ionospheric scintillation and TEC monitor with several capabilities of relevance to geospace studies that require observations by a distributed array of small instruments. The measurements will have resolutions that will be comparable to those provided by state-of-the-art commercial scintillation and TEC monitors but be obtained with a monitor that will cost only a fraction of the commercial price. New monitors will improve imaging capabilities when arrayed in dense networks, which will help to advance understanding of variabilities associated with events occurring on the Earth’s surface and at lower atmospheric altitudes, including those related to volcanic eruptions, thunderstorms, tornadoes, and tsunamis. The effort will be also centered around education and training of the workforce in the fields of science, technology, engineering, and mathematics (STEM) with emphasis on development and deployment of instrumentation. Additionally, the effort will create engaging and interactive exhibits that will increase literacy about scientific and technological aspects of the geospace environment.<br/><br/>This project is funded by the Geospace Facilities program with co-funding from the Aeronomy program in the Division of Atmospheric and Geospace 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.
|
07/18/2024
|
07/18/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2432609
|
{'FirstName': 'Fabiano', 'LastName': 'Rodrigues', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Fabiano Rodrigues', 'EmailAddress': '[email protected]', 'NSF_ID': '000524403', 'StartDate': '07/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Texas at Dallas', 'CityName': 'RICHARDSON', 'ZipCode': '750803021', 'PhoneNumber': '9728832313', 'StreetAddress': '800 WEST CAMPBELL RD.', 'StreetAddress2': 'SP2.25', 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'TX24', 'ORG_UEI_NUM': 'EJCVPNN1WFS5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TEXAS AT DALLAS', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Texas at Dallas', 'CityName': 'RICHARDSON', 'StateCode': 'TX', 'ZipCode': '750803021', 'StreetAddress': '800 WEST CAMPBELL RD.', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'TX24'}
|
{'Code': '420200', 'Text': 'Upper Atmospheric Facilities'}
|
2024~416131
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432609.xml'}
|
SBIR Phase I: A nano-optical imaging microendoscope for in vivo Imaging
|
NSF
|
09/01/2024
|
08/31/2025
| 275,000 | 275,000 |
{'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 enable researchers to visualize the dynamics of the biological events in live animals. The product, the miniaturized optical imaging micro-endoscope, will change researchers’ current paradigm of only visualizing and exploring the superficial layers of tissue at a subcellular level. Visualizing the deeper layers of tissue in >1 mm depth at the subcellular level using the miniaturized optical imaging micro-endoscope will enable a range of discoveries in different areas of biomedical research. In the long term, the developed product can be utilized by physicians to improve the current standards of care in various medical applications.<br/><br/>This Small Business Innovation Research (SBIR) Phase I project is developing a nanophotonic imaging microendoscope for in vivo imaging with minimal damage. Current optical microscopy imaging cannot be used for imaging beyond 1 mm depth. The current microendoscopes have a diameter larger than 0.5-1 mm, so they cause severe damage to the tissue when inserted into the tissue. The current microendoscopes cannot provide images in >1 mm depth since the damage to the tissue changes the whole tissue structure. Miniaturized microendoscopic tools with subcellular resolution are vital for deep tissue imaging (>1 mm). The product of this SBIR project will be 100 µm diameter, a hair-size micro-endoscope allowing researchers and scientists to conduct their studies at >3 mm depth in a live animal. The state of the art of optical design and nanofabrication techniques will be utilized to make the miniaturized microendoscope. This project will lead to derisking the risks associated with the miniaturization of the optical microendoscope and enabling its usage for in vivo imaging.<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.
|
08/22/2024
|
08/22/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2432611
|
{'FirstName': 'Mohammad Amin', 'LastName': 'Tadayon', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mohammad Amin Tadayon', 'EmailAddress': '[email protected]', 'NSF_ID': '000789932', 'StartDate': '08/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'LENSGUIDE IMAGING TECHNOLOGY INC', 'CityName': 'ROCKVILLE', 'ZipCode': '208502104', 'PhoneNumber': '6122981071', 'StreetAddress': '707 ANDERSON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'MD08', 'ORG_UEI_NUM': 'VGLLXNMDNHQ5', 'ORG_LGL_BUS_NAME': 'LENSGUIDE IMAGING TECHNOLOGY INC', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'LENSGUIDE IMAGING TECHNOLOGY INC', 'CityName': 'ROCKVILLE', 'StateCode': 'MD', 'ZipCode': '208500392', 'StreetAddress': '155 Gibbs St Unit 519', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_PERF': 'MD08'}
|
{'Code': '537100', 'Text': 'SBIR Phase I'}
|
2024~275000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432611.xml'}
|
EAGER: Youth-Led Community Learning: Enhancing Semiconductor Engagement through Musical Circuit Bending
|
NSF
|
08/15/2024
|
07/31/2026
| 296,239 | 296,239 |
{'Value': 'Standard Grant'}
|
{'Code': '11090000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DRL', 'LongName': 'Division Of Research On Learning'}}
|
{'SignBlockName': 'Wu He', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032920000'}
|
Semiconductors are fundamental to modern technology, driving advancements in fields such as communication, healthcare, and national security. To maintain global competitiveness in the semiconductor industry, the U.S. must cultivate a skilled and diverse workforce. However, many young individuals, particularly those who are neurodivergent, lack opportunities to engage with the foundational elements of electronics in a hands-on and creative manner. This project will investigate how neurodivergent youth can stimulate community-centered learning of electronic circuits through playful arts-based practices in underserved public spaces. The project aims to amplify engagement with electronics and semiconductors by integrating musical circuit bending, which involves creatively manipulating circuits to produce new sounds or effects, into informal learning settings during public events where music and technology are interdependent. Recognizing neurodiversity as a baseline, the project seeks to generate informal teaching and pop-up learning practices that cater to the unique characteristics of all learners. By introducing practical skills through an early-intervention STEAM-based approach, the project will create multiple pathways into the world of circuits and semiconductors. Utilizing the HOMAGO (Hanging Out, Messing Around, Geeking Out) framework, the project will connect youth through hands-on, minds-on, hearts-on, and social-on experiences. This initiative will directly impact 12 neurodivergent youth community educators who will participate in a one-week intensive course on electronic circuits and subsequently facilitate workshops on circuit bending at two community pop-up events, engaging at least 100 pop-up attendees. This effort aligns with the goals of the CHIPS and Science Act to increase interest in STEM fields by supporting the growth of the semiconductor workforce in Arizona. Partnerships with local community colleges offering accelerated semiconductor workforce training programs will further reinforce this project.<br/><br/>This EAGER project will introduce circuits and semiconductor technology to neurodivergent youth community educators using arts-based informal learning methods in underserved public spaces. The study will employ a STEM-rich tinkering approach, focusing on experiential learning and the HOMAGO framework to enhance meaningful and multisensory learning. Circuit bending offers an innovative, cost-effective approach to engaging with electronics, fostering creativity and problem-solving. The project will involve 12 neurodivergent youth community educators who will receive training to facilitate pop-up learning events, fostering personalized learning that adapts to the individual needs of neurodiverse learners and encouraging expression and social interaction. Additionally, up to 20 students in total will participate in the circuit bending course for free. The project will host two pop-up events, each engaging at least 50 attendees per event with the potential to impact many more, providing participants with circuit bending kits and educational materials. The research team will utilize mixed methods research design to collect both quantitative and qualitative data, analyzing engagement patterns and the development of STEM identities among participants. Data collection will include video journals, interviews, quizzes, surveys, and video recordings of pop-up events. Anticipated project outcomes include increased interest in STEM careers, enhanced leadership skills among neurodivergent youth, and a greater public understanding and appreciation of semiconductors and electronics. This project will promote inclusive, diverse learning environments and contribute to workforce development in the semiconductor industry. This project is funded by the Advancing Informal STEM Learning (AISL) program, which supports projects that: (a) contribute to research and practice that considers informal STEM learning's role in equity and belonging in STEM; (b) promote personal and educational success in STEM; (c) advance public engagement in scientific discovery; (d) foster interest in STEM careers; (e) create and enhance the theoretical and empirical foundations for effective informal STEM learning; (f) improve community vibrancy; and/or (g) enhance science communication and the public's engagement in and understanding of STEM and STEM 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.
|
08/09/2024
|
08/09/2024
|
None
|
Grant
|
47.076
|
1
|
4900
|
4900
|
2432637
|
[{'FirstName': 'Jennifer', 'LastName': 'Blain Christen', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jennifer M Blain Christen', 'EmailAddress': '[email protected]', 'NSF_ID': '000519753', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Evan', 'LastName': 'Tobias', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Evan Tobias', 'EmailAddress': '[email protected]', 'NSF_ID': '000681683', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Mirka', 'LastName': 'Koro', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mirka Koro', 'EmailAddress': '[email protected]', 'NSF_ID': '000691337', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Margarita', 'LastName': 'Pivovarova', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Margarita Pivovarova', 'EmailAddress': '[email protected]', 'NSF_ID': '000701586', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Seth', 'LastName': 'Thorn', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Seth D Thorn', 'EmailAddress': '[email protected]', 'NSF_ID': '000807375', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'Arizona State University', 'CityName': 'TEMPE', 'ZipCode': '852813670', 'PhoneNumber': '4809655479', 'StreetAddress': '660 S MILL AVENUE STE 204', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arizona', 'StateCode': 'AZ', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'AZ04', 'ORG_UEI_NUM': 'NTLHJXM55KZ6', 'ORG_LGL_BUS_NAME': 'ARIZONA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Arizona State University', 'CityName': 'TEMPE', 'StateCode': 'AZ', 'ZipCode': '852813670', 'StreetAddress': '660 S MILL AVENUE STE 204', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'AZ04'}
|
{'Code': '725900', 'Text': 'AISL'}
|
2024~296239
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432637.xml'}
|
HCC: Small: Direct Manipulation for Everyday Programming
|
NSF
|
01/01/2025
|
12/31/2027
| 599,578 | 599,578 |
{'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': 'Dan Cosley', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032928832'}
|
Computer programming is an important skill for modern society. However, it is difficult for beginners to learn and even for experienced programmers, programming can be mentally demanding. This is because computer programs are typically represented in text-based code that can be difficult to read and understand. One way to help with understanding programs is to use visual representations of computer programs, data, and outputs. Using visual materials to explain code is common in educational materials and classrooms, and there are even some programming systems that are primarily visual. This project's key insight is that, instead of using visual materials to explain code or replace code, programming tools might allow programmers to work on linked visual and textual representations of programs, directly manipulating the graphics to understand and change the code. The goal is to fundamentally transform the nature of programming by integrating textual code with directly manipulable graphics, making coding more intuitive and accessible. <br/><br/>Previous attempts to replace text-based programming with graphical interfaces have not met the goal of revolutionizing programming. These attempts failed because they discarded not only the weaknesses of textual code but also its strengths: textual code is economical, unambiguous, and supported by a robust ecosystem of industrial-strength packages and tooling. This project takes the view that direct manipulable graphics can augment text rather than replace it. To do this, the research team will develop a better understanding of visual representations of code, then design, build, and evaluate the first direct manipulation programming system for everyday code. Specifically, the research team will begin by investigating programmer-produced diagrams to understand what constitutes effective manipulable graphics for supporting programming. Then, the team will design a programming system that incorporates these identified qualities, and evaluate this new programming paradigm in scientific, educational, and AI interaction contexts, generating initial theories and empirical evidence regarding the suitability of direct manipulation-supported programming in these diverse settings.<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
|
47.070
|
1
|
4900
|
4900
|
2432644
|
[{'FirstName': 'Samuel', 'LastName': 'Lau', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Samuel Lau', 'EmailAddress': '[email protected]', 'NSF_ID': '000947543', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Haijun', 'LastName': 'Xia', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Haijun Xia', 'EmailAddress': '[email protected]', 'NSF_ID': '000811049', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'University of California-San Diego', 'CityName': 'LA JOLLA', 'ZipCode': '920930021', 'PhoneNumber': '8585344896', 'StreetAddress': '9500 GILMAN DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_ORG': 'CA50', 'ORG_UEI_NUM': 'UYTTZT6G9DT1', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, SAN DIEGO', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'UNIVERSITY OF CALIFORNIA, SAN DIEGO', 'CityName': 'LA JOLLA', 'StateCode': 'CA', 'ZipCode': '920930515', 'StreetAddress': '9500 GILMAN DRIVE MC 0515', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_PERF': 'CA50'}
|
{'Code': '736700', 'Text': 'HCC-Human-Centered Computing'}
|
2024~599578
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432644.xml'}
|
Collaborative Research: DASI Track 2--A Distributed Meteor Radar and Optical Network in South America
|
NSF
|
01/01/2025
|
12/31/2028
| 1,069,934 | 276,085 |
{'Value': 'Continuing Grant'}
|
{'Code': '06020200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
|
{'SignBlockName': 'Nicholas Anderson', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924715'}
|
This project will establish a distributed network of meteor radars and optical instruments in the mid-latitudes of South America, providing continuous measurements of upper atmospheric winds and nighttime wave perturbations in the mesosphere and thermosphere. This network will be able to make multi-point observations to resolve detailed four-dimensional (spatial and temporal) structures of small-scale (tens to hundreds km) waves. These small-scale waves are known to be a key player in driving variabilities at all spatial and temporal scales in this region and this network will provide a much-needed dataset for investigations of these waves and their impacts. The project will provide opportunities to a postdoctoral researcher and Ph.D. students to gain real world experience in working at remote areas to conduct engineering and research work. The project will also promote strong international collaboration with scientists from the United States, Germany, Chile, and Argentina, and will strengthen the ground-based network of instruments for geospace observations in South America.<br/><br/>This network will be built upon two NSF-funded projects to fully leverage the existing infrastructure and expertise that are already developed through NSF’s investments: a Major Research Instrumentation project that supported the deployment of a multi-static meteor radar (MR) system in northern Chile; and an NSF Distributed Array of Small Instruments project MANGO (Midlatitude Allsky-imaging Network for GeoSpace Observations) that established a network across the continental United States with multiple all-sky imagers and Fabry-Perot Interferometers (FPIs). This project will expand the MR system by adding two additional receiver stations, establish an optical network with airglow imagers and an FPI and a data infrastructure to promptly retrieve and share all data products, based on instruments and software developed in MANGO.<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
|
47.050
|
1
|
4900
|
4900
|
2432699
|
{'FirstName': 'Alan', 'LastName': 'Liu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alan Liu', 'EmailAddress': '[email protected]', 'NSF_ID': '000308821', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Embry-Riddle Aeronautical University', 'CityName': 'DAYTONA BEACH', 'ZipCode': '321143910', 'PhoneNumber': '3862267695', 'StreetAddress': '1 AEROSPACE BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'FL06', 'ORG_UEI_NUM': 'U5MMBAC9XAM5', 'ORG_LGL_BUS_NAME': 'EMBRY-RIDDLE AERONAUTICAL UNIVERSITY, INC.', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Embry-Riddle Aeronautical University', 'CityName': 'DAYTONA BEACH', 'StateCode': 'FL', 'ZipCode': '321143910', 'StreetAddress': '1 AEROSPACE BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'FL06'}
|
{'Code': '420200', 'Text': 'Upper Atmospheric Facilities'}
|
2024~276085
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432699.xml'}
|
Collaborative Research: DASI Track 2--A Distributed Meteor Radar and Optical Network in South America
|
NSF
|
01/01/2025
|
12/31/2028
| 337,005 | 197,498 |
{'Value': 'Continuing Grant'}
|
{'Code': '06020200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
|
{'SignBlockName': 'Nicholas Anderson', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924715'}
|
This project will establish a distributed network of meteor radars and optical instruments in the mid-latitudes of South America, providing continuous measurements of upper atmospheric winds and nighttime wave perturbations in the mesosphere and thermosphere. This network will be able to make multi-point observations to resolve detailed four-dimensional (spatial and temporal) structures of small-scale (tens to hundreds km) waves. These small-scale waves are known to be a key player in driving variabilities at all spatial and temporal scales in this region and this network will provide a much-needed dataset for investigations of these waves and their impacts. The project will provide opportunities to a postdoctoral researcher and Ph.D. students to gain real world experience in working at remote areas to conduct engineering and research work. The project will also promote strong international collaboration with scientists from the United States, Germany, Chile, and Argentina, and will strengthen the ground-based network of instruments for geospace observations in South America.<br/><br/>This network will be built upon two NSF-funded projects to fully leverage the existing infrastructure and expertise that are already developed through NSF’s investments: a Major Research Instrumentation project that supported the deployment of a multi-static meteor radar (MR) system in northern Chile; and an NSF Distributed Array of Small Instruments project MANGO (Midlatitude Allsky-imaging Network for GeoSpace Observations) that established a network across the continental United States with multiple all-sky imagers and Fabry-Perot Interferometers (FPIs). This project will expand the MR system by adding two additional receiver stations, establish an optical network with airglow imagers and an FPI and a data infrastructure to promptly retrieve and share all data products, based on instruments and software developed in MANGO.<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
|
47.050
|
1
|
4900
|
4900
|
2432700
|
{'FirstName': 'Jonathan', 'LastName': 'Makela', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jonathan J Makela', 'EmailAddress': '[email protected]', 'NSF_ID': '000273447', 'StartDate': '08/09/2024', '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': '420200', 'Text': 'Upper Atmospheric Facilities'}
|
2024~197498
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432700.xml'}
|
Collaborative Research: DASI Track 2--A Distributed Meteor Radar and Optical Network in South America
|
NSF
|
01/01/2025
|
12/31/2028
| 592,999 | 187,713 |
{'Value': 'Continuing Grant'}
|
{'Code': '06020200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
|
{'SignBlockName': 'Nicholas Anderson', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924715'}
|
This project will establish a distributed network of meteor radars and optical instruments in the mid-latitudes of South America, providing continuous measurements of upper atmospheric winds and nighttime wave perturbations in the mesosphere and thermosphere. This network will be able to make multi-point observations to resolve detailed four-dimensional (spatial and temporal) structures of small-scale (tens to hundreds km) waves. These small-scale waves are known to be a key player in driving variabilities at all spatial and temporal scales in this region and this network will provide a much-needed dataset for investigations of these waves and their impacts. The project will provide opportunities to a postdoctoral researcher and Ph.D. students to gain real world experience in working at remote areas to conduct engineering and research work. The project will also promote strong international collaboration with scientists from the United States, Germany, Chile, and Argentina, and will strengthen the ground-based network of instruments for geospace observations in South America.<br/><br/>This network will be built upon two NSF-funded projects to fully leverage the existing infrastructure and expertise that are already developed through NSF’s investments: a Major Research Instrumentation project that supported the deployment of a multi-static meteor radar (MR) system in northern Chile; and an NSF Distributed Array of Small Instruments project MANGO (Midlatitude Allsky-imaging Network for GeoSpace Observations) that established a network across the continental United States with multiple all-sky imagers and Fabry-Perot Interferometers (FPIs). This project will expand the MR system by adding two additional receiver stations, establish an optical network with airglow imagers and an FPI and a data infrastructure to promptly retrieve and share all data products, based on instruments and software developed in MANGO.<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
|
47.050
|
1
|
4900
|
4900
|
2432701
|
{'FirstName': 'Asti', 'LastName': 'Bhatt', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Asti Bhatt', 'EmailAddress': '[email protected]', 'NSF_ID': '000604344', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'SRI International', 'CityName': 'MENLO PARK', 'ZipCode': '940253493', 'PhoneNumber': '7032478529', 'StreetAddress': '333 RAVENSWOOD AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_ORG': 'CA16', 'ORG_UEI_NUM': 'SRG2J1WS9X63', 'ORG_LGL_BUS_NAME': 'SRI INTERNATIONAL', 'ORG_PRNT_UEI_NUM': 'SRG2J1WS9X63'}
|
{'Name': 'SRI International', 'CityName': 'MENLO PARK', 'StateCode': 'CA', 'ZipCode': '940253493', 'StreetAddress': '333 RAVENSWOOD AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_PERF': 'CA16'}
|
{'Code': '420200', 'Text': 'Upper Atmospheric Facilities'}
|
2024~187713
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432701.xml'}
|
SBIR Phase I: RELAI: Enhancing Reliability of Large Language Models
|
NSF
|
09/01/2024
|
08/31/2025
| 275,000 | 275,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Parvathi Chundi', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032925198'}
|
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project are significant and multifaceted. By improving the reliability of advanced artificial intelligence (AI) models such as Large Language Models (LLMs), this project will contribute to safer and more effective AI implementations across various industries, thereby enhancing economic competitiveness and fostering public trust in AI technologies. This project not only contributes to the foundational understanding of LLM reliability but also provides practical solutions that can be widely adopted in the industry. Additionally, the enhancements in AI reliability will have far-reaching impacts on sectors like healthcare, finance, and customer service, where accurate and unbiased decision-making is crucial. For instance, in healthcare, reliable LLMs can lead to better diagnostic tools and personalized treatment plans, ultimately improving patient outcomes and reducing healthcare costs. In finance, these models can enhance risk assessment and fraud detection, providing more secure and efficient financial services. The project’s integration with academic and industry partners ensures that the developed technologies are not only cutting-edge but also grounded in real-world applicability. Furthermore, the project includes a strong educational component aimed at training the next generation of AI practitioners in ethical AI practices.<br/><br/>This Small Business Innovation Research (SBIR) Phase I project introduces innovative methodologies to enhance the reliability of large language models (LLMs). In particular, the project presents methodologies to inspect and mitigate jailbreaking issues of LLMs, where adversarial prompts can circumvent their alignment, methodologies to inspect and mitigate LLM hallucinations, where models can generate non-factual responses, and methodologies to inspect and mitigate LLM biases. In particular, the development of methodologies to inspect and mitigate jailbreaking in LLMs represents a significant advancement in adversarial machine learning. This work not only identifies the vulnerabilities in current LLMs but also proposes robust countermeasures to fortify these models against sophisticated attacks. Moreover, the methodologies to inspect and mitigate hallucinations in LLMs involves sophisticated analysis of model outputs to identify when and why hallucinations occur, providing deeper insights into the internal workings of LLMs. Finally, addressing biases in LLMs is a critical component of ensuring ethical and fair artificial intelligence (AI). By integrating these advanced tools into a comprehensive, user-friendly, and unified platform, this project establishes a new benchmark for the development and deployment of reliable AI 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.
|
08/20/2024
|
08/20/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2432702
|
{'FirstName': 'Soheil', 'LastName': 'Feizi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Soheil Feizi', 'EmailAddress': '[email protected]', 'NSF_ID': '000781480', 'StartDate': '08/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'RELAI, INC.', 'CityName': 'BETHESDA', 'ZipCode': '208176624', 'PhoneNumber': '8576008157', 'StreetAddress': '7600 NEWMARKET DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'MD08', 'ORG_UEI_NUM': 'RQY1RHCGQBV7', 'ORG_LGL_BUS_NAME': 'RELAI, INC.', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'RELAI, INC.', 'CityName': 'BETHESDA', 'StateCode': 'MD', 'ZipCode': '208176624', 'StreetAddress': '7600 NEWMARKET DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_PERF': 'MD08'}
|
{'Code': '537100', 'Text': 'SBIR Phase I'}
|
2024~275000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432702.xml'}
|
STTR Phase I: Dynamic Covalent Polymers for Transition to Circular Plastics Economy
|
NSF
|
09/01/2024
|
08/31/2025
| 275,000 | 275,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Rajesh Mehta', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922174'}
|
The broader/commercial impact of this Small Business Technology Transfer Research (STTR) Phase I project is reducing society’s reliance on hard-to-recycle plastics and transitioning towards a more circular plastics economy. 400M metric tons of virgin plastic is produced each year, <10% of which is recycled. 12% of global virgin plastic productions are thermosets which have a recycling rate of nearly 0%. In the US alone, 2% of energy consumption is dedicated to manufacturing virgin plastics, polymer resin, and synthetic rubbers. By enabling closed-loop plastic recycling with an infinitely recyclable material, waste can be reduced, costs can be lowered, energy consumption can be cut, and greenhouse gas emissions can be drastically reduced. This technology may enable plastic material recovery and significantly mitigate the volume of plastics ending up in landfills and the broader environment, ultimately curtailing a massive source of environmental microplastics that threaten human health. Incorporating commercially viable bio-based inputs will lower the environmental impacts of plastic production by upcycling agricultural waste and using plant-based feedstocks, providing domestically sourced and sustainable inputs. Overall, the technology is positioned to enable and incentivize plastic material recovery, mitigating the plastic waste issue that has allowed plastics to infiltrate water resources, the environment, and the food supply.<br/><br/><br/><br/>The technical innovation of this project lies in the unique features of Enamine Covalent Adaptable Networks (ECANs). These networks have the potential to revolutionize handling of hard-to-recycle plastics, enabling closed-loop lifecycles and significantly reduced waste. ECANs are a platform polymer technology that produces a variety of resins for manufacture into films, sheets, foams, fibers and textiles, adhesives, composites, elastomers, and other high-value raw materials. Unlike conventional polymers, ECANs are dynamic covalent polymers that can undergo associative dynamic bond exchange reactions. ECANs are chemically recyclable and can be quickly recovered and remanufactured into next-generation ECANs. Platform development will occur through the following objectives: 1) develop new pathways for the synthesis of environmentally friendly and cost effective ECANs, 2) develop a platform of ECANs with controllable properties meeting the needs of diverse customers and applications, and 3) validate recyclability over multiple lifecycles. Production of resins with tunable properties will be examined through combinations of small molecules, triketones, polyamines, plasticizers, solvents, and colorants using various synthetic and processing conditions. Thermo-mechanical and rheological measurements will be performed on each newly formed ECAN to determine performance through each new generation. Extrusion and other existing plastics manufacturing processes will be employed for customer ease of adoption of ECAN resins. Recycling parameters will be optimized to increase purity, yield while decreasing cost, energy, and CO2 emissions.<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
|
2432707
|
[{'FirstName': 'Joao', 'LastName': 'Maia', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joao Maia', 'EmailAddress': '[email protected]', 'NSF_ID': '000527273', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Kezi', 'LastName': 'Cheng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kezi Cheng', 'EmailAddress': '[email protected]', 'NSF_ID': '000878336', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
|
{'Name': 'FLO MATERIALS, INC.', 'CityName': 'EMERYVILLE', 'ZipCode': '946082508', 'PhoneNumber': '3476317147', 'StreetAddress': '5400 HOLLIS ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'CA12', 'ORG_UEI_NUM': 'EJX7DD2J4V58', 'ORG_LGL_BUS_NAME': 'FLO MATERIALS, INC.', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'FLO MATERIALS, INC.', 'CityName': 'BERKELEY', 'StateCode': 'CA', 'ZipCode': '947208099', 'StreetAddress': '1 CYCLOTRON RD BLDG 62-113', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'CA12'}
|
{'Code': '150500', 'Text': 'STTR Phase I'}
|
2024~275000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432707.xml'}
|
SBIR Phase I: Triblock copolymer micelles for enhanced drug solubilization and stability
|
NSF
|
09/01/2024
|
08/31/2025
| 275,000 | 275,000 |
{'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 is rooted in enhancing the therapeutic use of hydrophobic drugs and yielding improved treatment outcomes with fewer side effects. The proposed technology has the potential to revolutionize the pharmaceutical field by increasing the bioavailability of known hydrophobic drugs and stabilizing new drugs. The technology will improve the health of the American population by allowing more therapeutic to be injected at lower volumes, thereby increasing therapeutic availability and efficacy. The platform will enhance America’s economic competitiveness in the global nanopharmaceutical market by providing a critically needed solubility-enhancing carrier platform. Research, sales, manufacturing, and management jobs will also be created domestically. The technology will engage with pharma companies and academic research groups on the evaluation, co-development, and licensing of novel drug formulations that improve the therapeutic window and reduce side effects. The platform will hasten the development and success rates of therapies that address the unmet medical needs of patients suffering from a broad spectrum of indications including cardiovascular conditions, cancer, infectious diseases, and neurological conditions like Alzheimer’s and dementia.<br/><br/>This Small Business Innovation Research (SBIR) Phase I project will enhance the efficacy and safety of hydrophobic drugs and drug candidates through a polymeric micelle approach to drug solubilization. Estimates suggest 40% of approved drugs and 90% of molecules in the discovery pipeline are poorly soluble, thereby hindering bioavailability and efficacy and preventing many late-stage drug candidates from reaching the market. Current solubility-enhancing drug carriers require high amounts of inactive excipients, which adds costs and complexity and may cause adverse side effects. As such, there is a clear need for improved drug delivery methods. This Phase I work will establish the capabilities and safety of the polymeric micelle platform as a robust and widely applicable method of solubilizing and stabilizing hydrophobic drugs to enhance therapeutic efficacy. Objectives are to 1) improve formulation of spherical micelles for enhanced stability and drug solubilization, 2) perform initial toxicity study on polymeric micelles establishing the safety of the platform, and 3) demonstrate efficacy of the platform for solubilization of compounds of different drug classes. The proposed work will generate a scalable, well-characterized, and improved polymeric product for solubilizing active but poorly soluble active pharmaceutical ingredients, thereby enhancing clinical development and commercialization of much-needed therapeutics.<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.
|
08/28/2024
|
08/28/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2432717
|
{'FirstName': 'Bruce', 'LastName': 'Frank', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bruce Frank', 'EmailAddress': '[email protected]', 'NSF_ID': '000906414', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'DELAQUA PHARMACEUTICALS INC', 'CityName': 'CHAPEL HILL', 'ZipCode': '275149787', 'PhoneNumber': '4025987385', 'StreetAddress': '7016 TURKEY FARM RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'NC04', 'ORG_UEI_NUM': 'K8KTE53NVVL9', 'ORG_LGL_BUS_NAME': 'DELAQUA PHARMACEUTICALS, INC', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'DELAQUA PHARMACEUTICALS INC', 'CityName': 'CHAPEL HILL', 'StateCode': 'NC', 'ZipCode': '275993280', 'StreetAddress': '250 Bell Tower Dr.', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'NC04'}
|
{'Code': '537100', 'Text': 'SBIR Phase I'}
|
2024~275000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432717.xml'}
|
Travel: Student Participation in the Emerging Memory Infrastructure Workshop
|
NSF
|
06/15/2024
|
05/31/2025
| 16,500 | 16,500 |
{'Value': 'Standard Grant'}
|
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
|
{'SignBlockName': 'Usha Varshney', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032925385'}
|
The "Emerging Memory Infrastructure" workshop is dedicated to exploring novel materials and technologies poised to transcend the limitations of traditional computing. Traditional von Neumann architectures, which segregate processing and memory, often incur significant energy and time costs due to necessary data transfers during computational tasks. These inefficiencies are magnified by the growing volume and complexity of data-centric applications. In contrast, in-memory computing, leveraging cutting-edge memory materials and devices, heralds a significant shift. Integrating analog and digital processing directly within the memory's storage and control circuits paves the way for innovations in materials, device architecture, and circuit design. The upcoming workshop is set to gather 40-60 senior researchers and 12 graduate students specializing in the design and fabrication of novel and emerging memory materials, device, and circuit design architecture. Given the wide geographic spread across the US of the research community focused on this topic, this workshop will serve as a vital platform for educational and professional in-person engagement. It aims to bring together a geographically and demographically diverse group of students, each with unique personal experiences and professional goals. These students will have the opportunity to connect with peers and a broader network of mentors within their field of study. <br/><br/><br/>Present-day memory technologies, including DRAM and Flash memory, hinge on charge storage and can retain data without power. However, the quest to scale these technologies below 10 nanometers has surfaced formidable challenges that undermine performance, reliability, and endurance. The industry's ambition is to forge a path toward non-volatile memory systems that excel in speed, durability, and energy efficiency and are scalable to 2 nanometers or below. However, such a solution is only possible by using a new class of materials and devices emerging since 2010. In the past decade, four emerging non-volatile memory technologies have shown considerable promise; Filamentary Memories (RRAM), Phase Change Memories (PCM), Magnetic Memories (MRAM), and Ferroelectric memories (FeRAM). Despite promising developments in these emerging memories, bridging the knowledge gaps has been a protracted endeavor. Distinct challenges thwart the progression: the nuanced requirements of in-memory processing vis-à-vis conventional storage solutions; the prevalence of inconsistent and unvalidated research findings attributed to less-than-ideal fabrication conditions; and the restricted availability of state-of-the-art fabrication equipment are typically confined to selected industrial and national research facilities. This confluence of obstacles underscores the critical need to convene the relevant research community, including the pivotal participation of graduate students, to engage in discourse, confront these challenges, and ideate on solutions.<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
|
47.041
|
1
|
4900
|
4900
|
2432718
|
{'FirstName': 'Linda', 'LastName': 'Katehi', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Linda P Katehi', 'EmailAddress': '[email protected]', 'NSF_ID': '000472154', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'ZipCode': '778433124', 'PhoneNumber': '9798626777', 'StreetAddress': '3124 TAMU', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'QD1MX6N5YTN4', 'ORG_LGL_BUS_NAME': 'TEXAS A&M ENGINEERING EXPERIMENT STATION', 'ORG_PRNT_UEI_NUM': 'QD1MX6N5YTN4'}
|
{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778433128', 'StreetAddress': '3128 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}
|
{'Code': '151700', 'Text': 'EPMD-ElectrnPhoton&MagnDevices'}
|
2024~16500
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432718.xml'}
|
The Dynamic Assembly and Resilience of Panicum Root-associated Microbiota
|
NSF
|
01/01/2024
|
07/31/2026
| 672,686 | 661,989 |
{'Value': 'Standard Grant'}
|
{'Code': '08070000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'MCB', 'LongName': 'Div Of Molecular and Cellular Bioscience'}}
|
{'SignBlockName': 'Cathie Aime', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924572'}
|
A series of pivotal scientific discovies over the past decade has shed light on the diversity of bacteria, termed the microbiome, that exist in the environment, particularly in soils. Plants cohabitate soil with these diverse bacterial communities, a subset of which are recruited to plant roots via a myriad of processes and can provide beneficial services to the host. For example, root associated bacteria can help the host plant acquire critical nutrients, thwart pathogen attack, and promote growth and yield. Therefore, there is widespread interest in harnessing the plant microbiome to increase yield and environmental resilience of agricultural commodities. A roadblock, however, is the complexity of the soil microbiome and the environment from which the host plants recruit root-associated bacteria. This makes dissection of the microbiome assembly process difficult under natural settings. A promising avenue to overcome this hurdle is by using controlled synthetic microbial communities, where previously isolated and characterized bacterial strains are inoculated into a controlled system.<br/><br/>This research investigates the spatiotemporal dynamics of the switchgrass root microbiome by implementing synthetic microbial communities which are tractable, reproducible, and ecologically relevant. Switchgrass is native to the North America and is used as both a biofuel feedstock and in soil restoration. Previous efforts by the researchers undertook a comprehensive effort to cultivate members of the switchgrass microbiome across diverse locations. Here, the researchers will use these previously isolated bacterial strains to form reduced complexity communities to examine how bacteria assemble both across time and space on plant roots. This information will be used to form a network to infer microbe-microbe interactions which can be further tested by dropping out select microbial modules. These results will bring the field closer to fully understanding the root microbiome assembly process, will provide a resource in the form of a universal switchgrass synthetic microbiome which will be shared with other switchgrass / plant microbial ecologists, and may provide new avenues for beneficial microbe delivery into agronomic 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.
|
05/29/2024
|
05/29/2024
|
None
|
Grant
|
47.074
|
1
|
4900
|
4900
|
2432733
|
{'FirstName': 'Joseph', 'LastName': 'Edwards', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joseph Edwards', 'EmailAddress': '[email protected]', 'NSF_ID': '000898704', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Texas A&M AgriLife Research', 'CityName': 'COLLEGE STATION', 'ZipCode': '778430001', 'PhoneNumber': '9798626777', 'StreetAddress': '2147 TAMU', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'KU3DCFJJTVN3', 'ORG_LGL_BUS_NAME': 'TEXAS A&M AGRILIFE RESEARCH', 'ORG_PRNT_UEI_NUM': 'DM2CDWR8LAG3'}
|
{'Name': 'Texas A&M AgriLife Research', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778430001', 'StreetAddress': '2147 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}
|
{'Code': '727500', 'Text': 'Cross-BIO Activities'}
|
2023~661989
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432733.xml'}
|
Planning: Strategic Planning and Sustainability of the Natural Drosophila Species Stock Center
|
NSF
|
09/01/2024
|
08/31/2025
| 99,664 | 99,664 |
{'Value': 'Standard Grant'}
|
{'Code': '08080000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DBI', 'LongName': 'Div Of Biological Infrastructure'}}
|
{'SignBlockName': 'Reed Beaman', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927163'}
|
An award is made to provide support for strategic planning for the Drosophila Species Stock Center (DSSC) at Cornell University. Flies in the genus Drosophila have been important models to the study of genetics, development, neurobiology, ecology, and evolution for over 100 years. Studies on this simple fruit fly have helped society better understand the complex genetic bases of development and stimulated advances in medicine, human health, and our understanding of biological diversity. The DSSC is a national repository for a diverse collection of over 1400 living stocks from approximately 250 species of Drosophila and related genera. The DSSC has maintained these cultures since the 1940s and distributes to researchers working in a variety of biological fields to facilitate research aimed at studying the underlying principles and mechanisms of life. <br/><br/>This award will support development of a strategic plan to sustain and facilitate comparative research on Drosophila species, in the face of rising staff and supply costs, in ways that best serves the research community. DSSC staff provides technical expertise in the areas of husbandry, natural history, systematics, evolution, and ecology of Drosophila. Whole genome sequences now exist for all ~250 species currently maintained in living culture, and sequencing on all ~1400 geographic strains is underway. This aspect of the collection further adds to its value and utility as a resource for comparative research into the correlation between phenotypic change, genome evolution, and species divergence.<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
|
47.074
|
1
|
4900
|
4900
|
2432763
|
{'FirstName': 'Patrick', 'LastName': "O'Grady", 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': "Patrick M O'Grady", 'EmailAddress': '[email protected]', 'NSF_ID': '000167496', 'StartDate': '08/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Cornell University', 'CityName': 'ITHACA', 'ZipCode': '148502820', 'PhoneNumber': '6072555014', 'StreetAddress': '341 PINE TREE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'G56PUALJ3KT5', 'ORG_LGL_BUS_NAME': 'CORNELL UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Cornell University', 'CityName': 'ITHACA', 'StateCode': 'NY', 'ZipCode': '148502820', 'StreetAddress': '341 PINE TREE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}
|
{'Code': '167Y00', 'Text': 'Capacity: Bio Collections'}
|
2024~99664
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432763.xml'}
|
Collaborative Research: Implementing a Humanities-driven Curriculum to Address Critical Thinking and Empathy Skills Among Engineering Students
|
NSF
|
01/01/2024
|
05/31/2024
| 150,000 | 61,535 |
{'Value': 'Standard Grant'}
|
{'Code': '11040000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DUE', 'LongName': 'Division Of Undergraduate Education'}}
|
{'SignBlockName': 'Karen Crosby', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032922124'}
|
This project aims to serve the national interest by understanding how critical thinking and empathetic science, technology, engineering, and mathematics (STEM) professionals can be developed through a humanities-driven curricular and problem-solving approach. The need for empathetic and critical thinking skills for STEM professionals is becoming readily evident due to the increased complexities of our society. Continued globalization through technologies means that the work of scientists and engineers has a greater impact on how we interact and communicate than ever before and presents a new set of grand challenges for our society. Traditionally, the humanities have played little to no role in STEM education even though critical thinking and empathy skills are hallmarks of a humanities education. There are, however, natural links that may enrich STEM students' educational experience and better prepare them to meet these grand challenges. This project will present science and engineering problem-solving within a humanities setting, an approach called humanities-driven STEM (HDSTEM). This approach will engage an interdisciplinary collaboration between humanities and engineering situated at two universities, Texas Tech University (TTU) and Rochester Institute of Technology (RIT). With this collaboration, students will develop problem-solving skills that require them to empathize and think critically. Through the NSF IUSE:EHR Engaged Student Learning track, this work will meet the program's goal to seek transformative approaches to generating and using new knowledge about STEM teaching and learning to improve STEM education for undergraduate students.<br/><br/>This project will examine the effectiveness of two problem-solving assignments: typical problem-solving and empathy-embedded problem-solving within two-course designs: a HDSTEM design with team-taught Humanities and STEM faculty, and instruction by STEM faculty in an introductory engineering curriculum. Curriculum treatments will be compared across two universities, TTU and RIT. While considering different faculty and instructors for this curriculum at the two institutions, the curriculum will be tied together through shared typical and empathy-embedded problem-solving assignments. The purpose of these treatments is to deepen STEM students' ability to empathize and think critically. At the same time, the project will examine which of the two implementation processes (i.e., HDSTEM curriculum and introductory engineering curriculum) performs better. This study will use a mixed-methods approach to analyze data and results. Multiple sources of data will be collected, analyzed, and compared for triangulation. Comparisons will be made between the data collected at the beginning and end of the courses. Discourse and content analysis in conjunction with commonly used rubrics for critical thinking and empathy will measure and assess differences from the curriculum treatments. Results will show benefits in critical thinking and empathy from the HDSTEM environment. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.<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
|
2432771
|
{'FirstName': 'Iris', 'LastName': 'Rivero', 'PI_MID_INIT': 'V', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Iris V Rivero', 'EmailAddress': '[email protected]', 'NSF_ID': '000478377', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': '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': '199800', 'Text': 'IUSE'}
|
2022~61535
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432771.xml'}
|
Collaborative Research: DASI Track 2: Deployment and Operations of the Ham Radio Science Citizen Investigation (HamSCI) Personal Space Weather Station Network
|
NSF
|
01/01/2025
|
12/31/2028
| 485,309 | 210,124 |
{'Value': 'Continuing Grant'}
|
{'Code': '06020200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
|
{'SignBlockName': 'Roman Makarevich', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927207'}
|
The Ham radio Science Citizen Investigation (HamSCI) network is a Distributed Array of Small Instruments (DASI) designed for the study of space weather impacts. The Personal Space Weather Station (PSWS) platform was previously developed through DASI Track 1 program in 2019. PSWS stations have one or more instruments, each capable of sensing a different aspect of the geospace environment. Several stations were deployed as proof-of-concept including those by amateur Ham radio operators and today, the PSWS network consists of over thirty-five stations located primarily in the continental US, but some also in Canada, Alaska, and Europe. It is used to study the ionospheric impacts of solar flares, solar eclipses, geomagnetic storms, traveling ionospheric disturbances, and other small-scale ionospheric variability. <br/><br/>This project will provide the backbone for the HamSCI PSWS network to enable a range of scientific investigations by deploying thirty standardized stations capable of observing high frequency (HF) Doppler shifts, HF amateur radio transmissions, Very Low Frequency transmissions and natural radio emissions, and the geomagnetic field. Ten fully automated, Global Positioning System (GPS) disciplined amateur radio transmitters will be also deployed to serve as a new source of GPS-stabilized HF beacon signals. Once deployed, this enhanced network will enable researchers to investigate both local and continental space weather effects, including those caused by traveling ionospheric disturbances, solar flares, and geomagnetic storms. The network has been developed as a collaboration between the professional scientific and amateur radio communities. It thus provides a unique opportunity for participation by and outreach to over 730,000 licensed US amateurs and about 3 million worldwide. This work will improve synergies between professional scientific and amateur radio communities, develop open technologies and observation networks that can be used in conjunction with existing geospace infrastructure, and develop materials that can be used in formal and informal educational institutions to teach space and radio science. HamSCI has a large online presence and following within the amateur radio community. This translates to the potential for extensive public relations and large outreach. This project will also support several undergraduate students’ participation and include major participation of both a Minority Serving Institution and an emerging (non-R1) academic institution.<br/><br/>This project is funded by the Geospace Facilities program with co-funding from the Aeronomy program in the Division of Atmospheric and Geospace 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.
|
08/21/2024
|
08/21/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2432821
|
{'FirstName': 'Nathaniel', 'LastName': 'Frissell', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nathaniel A Frissell', 'EmailAddress': '[email protected]', 'NSF_ID': '000667316', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Scranton', 'CityName': 'SCRANTON', 'ZipCode': '185102429', 'PhoneNumber': '5709416362', 'StreetAddress': '800 LINDEN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'PA08', 'ORG_UEI_NUM': 'WV3XJPNFUL58', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SCRANTON', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'University of Scranton', 'CityName': 'SCRANTON', 'StateCode': 'PA', 'ZipCode': '185102429', 'StreetAddress': '800 LINDEN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_PERF': 'PA08'}
|
{'Code': '420200', 'Text': 'Upper Atmospheric Facilities'}
|
2024~210124
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432821.xml'}
|
Collaborative Research: DASI Track 2: Deployment and Operations of the Ham Radio Science Citizen Investigation (HamSCI) Personal Space Weather Station Network
|
NSF
|
01/01/2025
|
12/31/2028
| 621,455 | 165,476 |
{'Value': 'Continuing Grant'}
|
{'Code': '06020200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
|
{'SignBlockName': 'Roman Makarevich', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927207'}
|
The Ham radio Science Citizen Investigation (HamSCI) network is a Distributed Array of Small Instruments (DASI) designed for the study of space weather impacts. The Personal Space Weather Station (PSWS) platform was previously developed through DASI Track 1 program in 2019. PSWS stations have one or more instruments, each capable of sensing a different aspect of the geospace environment. Several stations were deployed as proof-of-concept including those by amateur Ham radio operators and today, the PSWS network consists of over thirty-five stations located primarily in the continental US, but some also in Canada, Alaska, and Europe. It is used to study the ionospheric impacts of solar flares, solar eclipses, geomagnetic storms, traveling ionospheric disturbances, and other small-scale ionospheric variability. <br/><br/>This project will provide the backbone for the HamSCI PSWS network to enable a range of scientific investigations by deploying thirty standardized stations capable of observing high frequency (HF) Doppler shifts, HF amateur radio transmissions, Very Low Frequency transmissions and natural radio emissions, and the geomagnetic field. Ten fully automated, Global Positioning System (GPS) disciplined amateur radio transmitters will be also deployed to serve as a new source of GPS-stabilized HF beacon signals. Once deployed, this enhanced network will enable researchers to investigate both local and continental space weather effects, including those caused by traveling ionospheric disturbances, solar flares, and geomagnetic storms. The network has been developed as a collaboration between the professional scientific and amateur radio communities. It thus provides a unique opportunity for participation by and outreach to over 730,000 licensed US amateurs and about 3 million worldwide. This work will improve synergies between professional scientific and amateur radio communities, develop open technologies and observation networks that can be used in conjunction with existing geospace infrastructure, and develop materials that can be used in formal and informal educational institutions to teach space and radio science. HamSCI has a large online presence and following within the amateur radio community. This translates to the potential for extensive public relations and large outreach. This project will also support several undergraduate students’ participation and include major participation of both a Minority Serving Institution and an emerging (non-R1) academic institution.<br/><br/>This project is funded by the Geospace Facilities program with co-funding from the Aeronomy program in the Division of Atmospheric and Geospace 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.
|
08/21/2024
|
08/21/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2432822
|
{'FirstName': 'Travis', 'LastName': 'Atkison', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Travis Atkison', 'EmailAddress': '[email protected]', 'NSF_ID': '000619338', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'University of Alabama Tuscaloosa', 'CityName': 'TUSCALOOSA', 'ZipCode': '354012029', 'PhoneNumber': '2053485152', 'StreetAddress': '801 UNIVERSITY BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Alabama', 'StateCode': 'AL', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'AL07', 'ORG_UEI_NUM': 'RCNJEHZ83EV6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ALABAMA', 'ORG_PRNT_UEI_NUM': 'TWJWHYEM8T63'}
|
{'Name': 'University of Alabama Tuscaloosa', 'CityName': 'TUSCALOOSA', 'StateCode': 'AL', 'ZipCode': '354012029', 'StreetAddress': '801 UNIVERSITY BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Alabama', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AL07'}
|
[{'Code': '420200', 'Text': 'Upper Atmospheric Facilities'}, {'Code': '689700', 'Text': 'AGS-ATM & Geospace Sciences'}]
|
2024~165476
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432822.xml'}
|
Collaborative Research: DASI Track 2: Deployment and Operations of the Ham Radio Science Citizen Investigation (HamSCI) Personal Space Weather Station Network
|
NSF
|
01/01/2025
|
12/31/2028
| 351,855 | 93,859 |
{'Value': 'Continuing Grant'}
|
{'Code': '06020200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
|
{'SignBlockName': 'Roman Makarevich', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927207'}
|
The Ham radio Science Citizen Investigation (HamSCI) network is a Distributed Array of Small Instruments (DASI) designed for the study of space weather impacts. The Personal Space Weather Station (PSWS) platform was previously developed through DASI Track 1 program in 2019. PSWS stations have one or more instruments, each capable of sensing a different aspect of the geospace environment. Several stations were deployed as proof-of-concept including those by amateur Ham radio operators and today, the PSWS network consists of over thirty-five stations located primarily in the continental US, but some also in Canada, Alaska, and Europe. It is used to study the ionospheric impacts of solar flares, solar eclipses, geomagnetic storms, traveling ionospheric disturbances, and other small-scale ionospheric variability. <br/><br/>This project will provide the backbone for the HamSCI PSWS network to enable a range of scientific investigations by deploying thirty standardized stations capable of observing high frequency (HF) Doppler shifts, HF amateur radio transmissions, Very Low Frequency transmissions and natural radio emissions, and the geomagnetic field. Ten fully automated, Global Positioning System (GPS) disciplined amateur radio transmitters will be also deployed to serve as a new source of GPS-stabilized HF beacon signals. Once deployed, this enhanced network will enable researchers to investigate both local and continental space weather effects, including those caused by traveling ionospheric disturbances, solar flares, and geomagnetic storms. The network has been developed as a collaboration between the professional scientific and amateur radio communities. It thus provides a unique opportunity for participation by and outreach to over 730,000 licensed US amateurs and about 3 million worldwide. This work will improve synergies between professional scientific and amateur radio communities, develop open technologies and observation networks that can be used in conjunction with existing geospace infrastructure, and develop materials that can be used in formal and informal educational institutions to teach space and radio science. HamSCI has a large online presence and following within the amateur radio community. This translates to the potential for extensive public relations and large outreach. This project will also support several undergraduate students’ participation and include major participation of both a Minority Serving Institution and an emerging (non-R1) academic institution.<br/><br/>This project is funded by the Geospace Facilities program with co-funding from the Aeronomy program in the Division of Atmospheric and Geospace 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.
|
08/21/2024
|
08/21/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2432823
|
[{'FirstName': 'Hyomin', 'LastName': 'Kim', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hyomin Kim', 'EmailAddress': '[email protected]', 'NSF_ID': '000611525', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Gareth', 'LastName': 'Perry', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gareth Perry', 'EmailAddress': '[email protected]', 'NSF_ID': '000801205', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'New Jersey Institute of Technology', 'CityName': 'NEWARK', 'ZipCode': '071021824', 'PhoneNumber': '9735965275', 'StreetAddress': '323 DR MARTIN LUTHER KING JR BLV', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'NJ10', 'ORG_UEI_NUM': 'SGBMHQ7VXNH5', 'ORG_LGL_BUS_NAME': 'NEW JERSEY INSTITUTE OF TECHNOLOGY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'New Jersey Institute of Technology', 'CityName': 'NEWARK', 'StateCode': 'NJ', 'ZipCode': '071021824', 'StreetAddress': '323 DR MARTIN LUTHER KING JR BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Jersey', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'NJ10'}
|
{'Code': '420200', 'Text': 'Upper Atmospheric Facilities'}
|
2024~93859
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432823.xml'}
|
Collaborative Research: DASI Track 2: Deployment and Operations of the Ham Radio Science Citizen Investigation (HamSCI) Personal Space Weather Station Network
|
NSF
|
01/01/2025
|
12/31/2028
| 337,501 | 88,176 |
{'Value': 'Continuing Grant'}
|
{'Code': '06020200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
|
{'SignBlockName': 'Roman Makarevich', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927207'}
|
The Ham radio Science Citizen Investigation (HamSCI) network is a Distributed Array of Small Instruments (DASI) designed for the study of space weather impacts. The Personal Space Weather Station (PSWS) platform was previously developed through DASI Track 1 program in 2019. PSWS stations have one or more instruments, each capable of sensing a different aspect of the geospace environment. Several stations were deployed as proof-of-concept including those by amateur Ham radio operators and today, the PSWS network consists of over thirty-five stations located primarily in the continental US, but some also in Canada, Alaska, and Europe. It is used to study the ionospheric impacts of solar flares, solar eclipses, geomagnetic storms, traveling ionospheric disturbances, and other small-scale ionospheric variability. <br/><br/>This project will provide the backbone for the HamSCI PSWS network to enable a range of scientific investigations by deploying thirty standardized stations capable of observing high frequency (HF) Doppler shifts, HF amateur radio transmissions, Very Low Frequency transmissions and natural radio emissions, and the geomagnetic field. Ten fully automated, Global Positioning System (GPS) disciplined amateur radio transmitters will be also deployed to serve as a new source of GPS-stabilized HF beacon signals. Once deployed, this enhanced network will enable researchers to investigate both local and continental space weather effects, including those caused by traveling ionospheric disturbances, solar flares, and geomagnetic storms. The network has been developed as a collaboration between the professional scientific and amateur radio communities. It thus provides a unique opportunity for participation by and outreach to over 730,000 licensed US amateurs and about 3 million worldwide. This work will improve synergies between professional scientific and amateur radio communities, develop open technologies and observation networks that can be used in conjunction with existing geospace infrastructure, and develop materials that can be used in formal and informal educational institutions to teach space and radio science. HamSCI has a large online presence and following within the amateur radio community. This translates to the potential for extensive public relations and large outreach. This project will also support several undergraduate students’ participation and include major participation of both a Minority Serving Institution and an emerging (non-R1) academic institution.<br/><br/>This project is funded by the Geospace Facilities program with co-funding from the Aeronomy program in the Division of Atmospheric and Geospace 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.
|
08/21/2024
|
08/21/2024
|
None
|
Grant
|
47.050
|
1
|
4900
|
4900
|
2432824
|
[{'FirstName': 'Christian', 'LastName': 'Zorman', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christian A Zorman', 'EmailAddress': '[email protected]', 'NSF_ID': '000277422', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Kristina', 'LastName': 'Collins', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kristina Collins', 'EmailAddress': '[email protected]', 'NSF_ID': '000794939', 'StartDate': '08/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
|
{'Name': 'Case Western Reserve University', 'CityName': 'CLEVELAND', 'ZipCode': '441061712', 'PhoneNumber': '2163684510', 'StreetAddress': '10900 EUCLID AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'OH11', 'ORG_UEI_NUM': 'HJMKEF7EJW69', 'ORG_LGL_BUS_NAME': 'CASE WESTERN RESERVE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Case Western Reserve University', 'CityName': 'CLEVELAND', 'StateCode': 'OH', 'ZipCode': '441061712', 'StreetAddress': '10900 EUCLID AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'OH11'}
|
{'Code': '420200', 'Text': 'Upper Atmospheric Facilities'}
|
2024~88176
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432824.xml'}
|
SBIR Phase I: Fluctuation Flow Propulsion
|
NSF
|
08/15/2024
|
07/31/2025
| 275,000 | 275,000 |
{'Value': 'Standard Grant'}
|
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
|
{'SignBlockName': 'Anna Brady', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927077'}
|
The broader impact/commercial potential of this Phase I Small Business Innovation Research (SBIR) project is based on a new type of space vehicle propulsion (the initial product will be a reaction control system) that operates with fluctuation flow based propulsion and has a long operation lifetime with a compact and lightweight form factor. It enables orders of magnitude greater maneuver capability than current state-of-the-art electric or chemical propulsion. Space vehicles will be able to operate longer on station and will have the freedom to change inclinations and altitudes to optimize mission performance. It will significantly increase the US leadership in the space industry, speeding the deployment of space-based services that will greatly help society and the American public. Fluctuation flow propulsion supports the national defense of the United States by enabling rapid redeployment and tasking of space assets to respond to current requirements and potential threats. The breakthrough improvement in propulsion performance will also enable efficient and high-speed interplanetary travel, opening opportunities for deep space exploration missions, asteroid mining ventures, and scientific expeditions. The innovation will enhance our understanding of how quantum vacuum fluctuations interact with and can be controlled by asymmetric nanostructures and potentials.<br/><br/>This SBIR Phase I project proposes to develop a new type of propulsion based on the motive forces predicted to be generated from the interaction between quantum vacuum fluctuations and asymmetric nanostructures and potentials such are found in Resonant Tunneling Diodes. Asymmetric nanostructure devices will be fabricated on micron-scale cantilevers. The cantilevers will be deflected by the force generated. The amount of defection will be measured using white-light interferometry and the associated force will be determined. A parametric series of device configurations will be measured, and steps will be taken to ensure that that there are no outside factors (such as vibrational, thermal, and electromagnetic effects) influencing the results. The devices will be measured in both up and down orientations which will change the direction of the force, making it readily discernible from other factors and the influence of gravity. The proposed experiments will be the first measurements of vacuum fluctuation based motive forces. The experimental results will enhance our understanding of the quantum vacuum and will be the first-time broken symmetry has been proven to control vacuum fluctuation behavior.<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.
|
08/07/2024
|
08/07/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2432831
|
{'FirstName': 'Charles', 'LastName': 'Chase', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Charles Chase', 'EmailAddress': '[email protected]', 'NSF_ID': '0000A035D', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'UNLAB LLC', 'CityName': 'SAVANNAH', 'ZipCode': '314055480', 'PhoneNumber': '8184725756', 'StreetAddress': '5407 REYNOLDS ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'GA01', 'ORG_UEI_NUM': 'G9XAGDKH1WQ3', 'ORG_LGL_BUS_NAME': 'UNLAB LLC', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'UNLAB LLC', 'CityName': 'SAVANNAH', 'StateCode': 'GA', 'ZipCode': '314055480', 'StreetAddress': '5407 REYNOLDS ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'GA01'}
|
{'Code': '537100', 'Text': 'SBIR Phase I'}
|
2024~275000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432831.xml'}
|
Including Ecosystems in Process Design and Life Cycle Assessment for Environmental Sustainability and Innovation
|
NSF
|
10/01/2023
|
10/31/2024
| 360,000 | 52,084 |
{'Value': 'Standard Grant'}
|
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
|
{'SignBlockName': 'Bruce Hamilton', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032920000'}
|
Even though all human activities require goods and services from nature for their sustenance, conventional engineering has kept ecosystems outside its decision boundary. Ignoring or undervaluing these critical ecosystem goods and services (ES) has resulted in their over use and degradation, and can also mean lost opportunities for innovation and environmental sustainability. Recent efforts are accounting for the role of ecosystems in supporting human activities and are demonstrating the many economic, environmental and societal benefits of including nature in human decisions. Such advances related to engineering design and life cycle assessment have been demonstrated through case studies, but rigorous methods are needed for systematic inclusion of ecosystems in engineering decisions. This work will advance the framework of Techno-Ecological Synergy (TES), with specific focus on developing methods for, 1) integrated design of chemical processes and ecosystems on and around manufacturing sites while accounting for their temporal and spatial variation, 2) including ecosystem services in life cycle assessment (LCA) by means of a rigorous mathematical framework, 3) education and outreach activities to improve knowledge about ecosystem services among students and practitioners.<br/><br/>Local TES design at a manufacturing site will be formulated as a multi-objective optimization problem that accounts for spatial and temporal variation of these systems such as the intermittent availability of many ecosystem services versus the continuous demand for these services from human activities. The mathematical framework for ES in LCA will explicitly include ecosystems in LCA along with their synergies and trade-offs in providing ES, and their interaction with technological systems. It will enable calculation of<br/>sustainability metrics by comparing the demand and supply of ES at multiple spatial scales. This work will be in collaboration with an expert in ecosystem services, and will be applied to problems of interest to industry sustainability.<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
|
47.041
|
1
|
4900
|
4900
|
2432851
|
{'FirstName': 'Bhavik', 'LastName': 'Bakshi', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bhavik R Bakshi', 'EmailAddress': '[email protected]', 'NSF_ID': '000107938', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Arizona State University', 'CityName': 'TEMPE', 'ZipCode': '852813670', 'PhoneNumber': '4809655479', 'StreetAddress': '660 S MILL AVENUE STE 204', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arizona', 'StateCode': 'AZ', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'AZ04', 'ORG_UEI_NUM': 'NTLHJXM55KZ6', 'ORG_LGL_BUS_NAME': 'ARIZONA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'Arizona State University', 'CityName': 'TEMPE', 'StateCode': 'AZ', 'ZipCode': '852813670', 'StreetAddress': '660 S MILL AVENUE STE 204', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'AZ04'}
|
[{'Code': '140300', 'Text': 'Proc Sys, Reac Eng & Mol Therm'}, {'Code': '150400', 'Text': 'GOALI-Grnt Opp Acad Lia wIndus'}, {'Code': '764300', 'Text': 'EnvS-Environmtl Sustainability'}]
|
['2018~890', '2019~51194']
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432851.xml'}
|
SBIR Phase I: The LADDR Platform for Precise Delivery of Nucleic Acid Therapy for Head and Neck Cancer and Esophageal Cancer
|
NSF
|
09/01/2024
|
08/31/2025
| 275,000 | 275,000 |
{'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 is in the development of Illuminate Therapeutics’ Light Activated Drug Delivery and Release (LADDR) platform technology to improve patient outcomes in head and neck (H&N) and esophageal cancer treatment. H&N and esophageal cancers are some of the most common cancers worldwide and make up 4.5% of all new cancer cases in the US. Over 60,000 cases of H&N cancer and over 20,000 cases of esophageal cancer are newly diagnosed in the US each year. The total market for H&N cancer treatment is ~$1.2 billion in 2021, with a CAGR of 12.5% during the forecast period. The esophageal cancer market is similarly sized, with the market valued at $1.14 billion in 2021, and it is expected to grow at a CAGR of 8.50%. The LADDR platform enables precise spatiotemporal delivery of small therapeutic RNAs to tumors by a combination of nanoparticle-mediated delivery and activation triggered by external light. The use of LADDR with microRNA mimics in the treatment of cancer will preserve healthy tissues, maintaining critical tissue function while eliminating the common side effects associated with current standard-of-care treatments.<br/><br/>This Small Business Innovation Research (SBIR) Phase I project is crucial to the commercialization of the LADDR technology by derisking two major potential issues: 1) predicting responsive and non-responsive tumors and 2) determining the impact of route of administration on LADDR’s basic pharmacokinetic/dynamic properties. The key objectives in this study are to: 1) identify microRNA-mimic-responsive and non-responsive patient-derived tumors, 2) select the predictive markers for responsive tumors, and 3) determine the basic pharmacokinetics and pharmacodynamics of the LADDR vehicle for delivering functional microRNA mimics to tumors in vivo. The research is separated into two objectives. Objective 1 will determine the breadth of each microRNA mimic’s activity in representative patient-derived tumor organoids derived from H&N and esophageal cancers and identify biomarkers of responsive and non-responsive tumors for the development of personalized therapies. Objective 2 will determine the impact of the route on LADDR’s basic pharmacokinetic/dynamic properties. The insight gained in this study will allow the identification of the functional targets of microRNA mimics in H&N and esophageal tumors and provide a proof-of-concept for therapeutic microRNA mimic delivery using light-activated LADDR vehicles in vivo.<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
|
47.084
|
1
|
4900
|
4900
|
2432864
|
{'FirstName': 'Suzanne', 'LastName': 'Berezovsky', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Suzanne E Berezovsky', 'EmailAddress': '[email protected]', 'NSF_ID': '000934561', 'StartDate': '08/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'ILLUMINATE THERAPEUTICS, INC.', 'CityName': 'PORTOLA VALLEY', 'ZipCode': '940287527', 'PhoneNumber': '2166504177', 'StreetAddress': '16 ALISO WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_ORG': 'CA16', 'ORG_UEI_NUM': 'WVLWH6J17CP5', 'ORG_LGL_BUS_NAME': 'ILLUMINATE THERAPEUTICS, INC.', 'ORG_PRNT_UEI_NUM': None}
|
{'Name': 'ILLUMINATE THERAPEUTICS, INC.', 'CityName': 'PORTOLA VALLEY', 'StateCode': 'CA', 'ZipCode': '940287527', 'StreetAddress': '16 ALISO WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_PERF': 'CA16'}
|
{'Code': '537100', 'Text': 'SBIR Phase I'}
|
2024~275000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432864.xml'}
|
EAGER: PBI: Using machine learning to generate datasets and models to assess socio-economic impacts of place-based innovation
|
NSF
|
09/01/2024
|
08/31/2026
| 299,738 | 299,738 |
{'Value': 'Standard Grant'}
|
{'Code': '15020000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'ITE', 'LongName': 'Innovation and Technology Ecosystems'}}
|
{'SignBlockName': 'Rebecca Shearman', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032927403'}
|
Understanding the impact of place-based innovations on socio-economic aspects is crucial for accurately measuring recent adaptation and mitigation efforts. Current methods and tools used to address the impact of such activities on communities are still not properly capturing the nuances associated with biases towards specific ethnic and racial communities or simply including socio-vulnerable populations. This project is focused on assessing the impact of the U.S. National Science Foundation's Regional Innovation Engines (NSF Engines) in New York and Louisiana. We will utilize advanced ML tools to analyze and quantify these impacts, ultimately applying, for the first time to our knowledge, AI tools to such socio-economic problems related to climate change and creating scalable models that can be applied to other regions and areas.<br/><br/><br/>ML tools can be used to discover patterns and relationships among datasets and build new inference models that can connect changes among variables. In the case of this specific project, the project will use ML to discover relationships among socio-economic, climate and environmental datasets and model such relationships with a specific emphasis in identifying biases of historical models on socially-vulnerable populations. However, to counterbalance the potential “black-box” effects of ML-based approaches, the project will make use of Explanatory Artificial Intelligence (XAI). XAI tools help characterize the accuracy, transparency, fairness, and outcomes of AI-powered decision-making. Specifically, the project will make use of an XAI technique based on Shapley coefficients, which quantifies the relative role of each predictor on the model performances. This will allow us not only to understand the drivers of potential changes - eg. due to NSF investements in those areas - but also to better understand the “quality” of the ML outputs that will be required to fulfill basic rules based on the knowledge of the processes under study from a qualitative point of view. Convening workshops with experts will help identify the specific datasets and optimal approaches for creating a database that will unveil the impact of new activities on communities through ML models.<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.
|
07/12/2024
|
07/12/2024
|
None
|
Grant
|
47.084
|
1
|
4900
|
4900
|
2432870
|
{'FirstName': 'Marco', 'LastName': 'Tedesco', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marco Tedesco', 'EmailAddress': '[email protected]', 'NSF_ID': '000477271', 'StartDate': '07/12/2024', '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': 'LDEO - Columbia University', 'CityName': 'Palisades', 'StateCode': 'NY', 'ZipCode': '109648000', 'StreetAddress': '61 rte 9W', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_PERF': 'NY17'}
|
{'Code': '301Y00', 'Text': 'NSF Engines - Type 2'}
|
2024~299738
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432870.xml'}
|
Conference: Tropical Forest Futures
|
NSF
|
08/01/2024
|
01/31/2025
| 67,000 | 67,000 |
{'Value': 'Standard Grant'}
|
{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}
|
{'SignBlockName': 'Betsy Von Holle', 'PO_EMAI': '[email protected]', 'PO_PHON': '7032924974'}
|
The tropics are home to the largest diversity of species on Earth, and the future of the tropics has significant implications for the planet. Scientists predict that the most serious impacts of environmental change will likely be in the tropics, where almost half of the planet’s human population resides. Understanding how tropical ecosystems will change requires a long-term perspective, scientific expertise, and a strategic approach. Over the past 100 years, generations of scientists have conducted field studies on Panama’s Barro Colorado Island, today considered the world’s best-studied tropical forest. Contributions from these studies have greatly advanced our current knowledge of tropical ecosystems, but there is much more to understand about these complex environments. Our ability to anticipate the future of the tropics plays a critical role in the predictive capacity of Earth System Models (ESM).<br/>The Tropical Forest Future workshop will convene specialists in tropical studies to build on the last century of research and develop new methods for understanding and predicting changes to these important ecosystems. A series of three parallel working groups will draw upon diverse experts and next-generation leaders to build the basis for future directions in tropical forest studies. Each working group will explore promising new technologies, approaches, and strategic opportunities to advance future directions in research. A group on Tropical Plant Community Dynamics will aim to determine the combination of theory, modeling, analyses, and data needed to assess the various forces responsible for maintenance of tree diversity. A group on Tropical Arthropod Monitoring for Global Change will examine next generation monitoring technologies, including metabarcoding, bioacoustics, and systems for Automated Monitoring of Insects (AMI). A group on Integrating Metabolomics, Functional Traits, and Life History in Forest Ecology will synthesize pre-existing metabolomic, morphological, physiological, and demographic trait datasets to inform models of species interactions and predict plant responses to anthropogenic change. An additional, nonconcurrent plenary workshop entitled “Building Equitable and Inclusive Forest Research Programs in the Tropics” will bring together scientists of all career levels and explore the challenges and opportunities around developing greater equity and inclusivity in tropical research. Outputs from these three workshops will define the big questions and the future of the frontier of tropical science, as well as identifying key pathways and multidisciplinary opportunities for future research in a way that is inclusive and collaborative.<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
|
47.074
|
1
|
4900
|
4900
|
2432873
|
{'FirstName': 'Oris', 'LastName': 'Sanjur', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Oris Sanjur', 'EmailAddress': '[email protected]', 'NSF_ID': '000871770', 'StartDate': '07/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
|
{'Name': 'Smithsonian Institution', 'CityName': 'WASHINGTON', 'ZipCode': '205600008', 'PhoneNumber': '2026337110', 'StreetAddress': '1000 JEFFERSON DR SW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'KQ1KJG78NNS9', 'ORG_LGL_BUS_NAME': 'SMITHSONIAN INSTITUTION', 'ORG_PRNT_UEI_NUM': 'KQ1KJG78NNS9'}
|
{'Name': 'Smithsonian Tropical Research Institute', 'CityName': 'Panama', 'StateCode': None, 'ZipCode': '0000', 'StreetAddress': 'Tupper Building, Ancon', 'CountryCode': 'PM', 'CountryName': 'Panama', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
|
{'Code': '112800', 'Text': 'Population & Community Ecology'}
|
2024~67000
|
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432873.xml'}
|
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