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Project acronym 3DIMAGE
Project 3D Imaging Across Lengthscales: From Atoms to Grains
Researcher (PI) Paul Anthony Midgley
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Summary "Understanding structure-property relationships across lengthscales is key to the design of functional and structural materials and devices. Moreover, the complexity of modern devices extends to three dimensions and as such 3D characterization is required across those lengthscales to provide a complete understanding and enable improvement in the material's physical and chemical behaviour. 3D imaging and analysis from the atomic scale through to granular microstructure is proposed through the development of electron tomography using (S)TEM, and 'dual beam' SEM-FIB, techniques offering complementary approaches to 3D imaging across lengthscales stretching over 5 orders of magnitude. We propose to extend tomography to include novel methods to determine atom positions in 3D with approaches incorporating new reconstruction algorithms, image processing and complementary nano-diffraction techniques. At the nanoscale, true 3D nano-metrology of morphology and composition is a key objective of the project, minimizing reconstruction and visualization artefacts. Mapping strain and optical properties in 3D are ambitious and exciting challenges that will yield new information at the nanoscale. Using the SEM-FIB, 3D 'mesoscale' structures will be revealed: morphology, crystallography and composition can be mapped simultaneously, with ~5nm resolution and over volumes too large to tackle by (S)TEM and too small for most x-ray techniques. In parallel, we will apply 3D imaging to a wide variety of key materials including heterogeneous catalysts, aerospace alloys, biomaterials, photovoltaic materials, and novel semiconductors. We will collaborate with many departments in Cambridge and institutes worldwide. The personnel on the proposal will cover all aspects of the tomography proposed using high-end TEMs, including an aberration-corrected Titan, and a Helios dual beam. Importantly, a postdoc is dedicated to developing new algorithms for reconstruction, image and spectral processing."
"Understanding structure-property relationships across lengthscales is key to the design of functional and structural materials and devices. Moreover, the complexity of modern devices extends to three dimensions and as such 3D characterization is required across those lengthscales to provide a complete understanding and enable improvement in the material's physical and chemical behaviour. 3D imaging and analysis from the atomic scale through to granular microstructure is proposed through the development of electron tomography using (S)TEM, and 'dual beam' SEM-FIB, techniques offering complementary approaches to 3D imaging across lengthscales stretching over 5 orders of magnitude. We propose to extend tomography to include novel methods to determine atom positions in 3D with approaches incorporating new reconstruction algorithms, image processing and complementary nano-diffraction techniques. At the nanoscale, true 3D nano-metrology of morphology and composition is a key objective of the project, minimizing reconstruction and visualization artefacts. Mapping strain and optical properties in 3D are ambitious and exciting challenges that will yield new information at the nanoscale. Using the SEM-FIB, 3D 'mesoscale' structures will be revealed: morphology, crystallography and composition can be mapped simultaneously, with ~5nm resolution and over volumes too large to tackle by (S)TEM and too small for most x-ray techniques. In parallel, we will apply 3D imaging to a wide variety of key materials including heterogeneous catalysts, aerospace alloys, biomaterials, photovoltaic materials, and novel semiconductors. We will collaborate with many departments in Cambridge and institutes worldwide. The personnel on the proposal will cover all aspects of the tomography proposed using high-end TEMs, including an aberration-corrected Titan, and a Helios dual beam. Importantly, a postdoc is dedicated to developing new algorithms for reconstruction, image and spectral processing."
Project acronym AFTERTHEGOLDRUSH
Project Addressing global sustainability challenges by changing perceptions in catalyst design
Researcher (PI) Graham John Hutchings
Host Institution (HI) CARDIFF UNIVERSITY
Summary One of the greatest challenges facing society is the sustainability of resources. At present, a step change in the sustainable use of resources is needed and catalysis lies at the heart of the solution by providing new routes to carbon dioxide mitigation, energy security and water conservation. It is clear that new high efficiency game-changing catalysts are required to meet the challenge. This proposal will focus on excellence in catalyst design by learning from recent step change advances in gold catalysis by challenging perceptions. Intense interest in gold catalysts over the past two decades has accelerated our understanding of gold particle-size effects, gold-support and gold-metal interactions, the interchange between atomic and ionic gold species, and the role of the gold-support interface in creating and maintaining catalytic activity. The field has also driven the development of cutting-edge techniques, particularly in microscopy and transient kinetics, providing detailed structural characterisation on the nano-scale and probing the short-range and often short-lived interactions. By comparison, our understanding of other metal catalysts has remained relatively static. The proposed programme will engender a step change in the design of supported-metal catalysts, by exploiting the learning and the techniques emerging from gold catalysis. The research will be set out in two themes. In Theme 1 two established key grand challenges will be attacked; namely, energy vectors and greenhouse gas control. Theme 2 will address two new and emerging grand challenges in catalysis namely the effective low temperature activation of primary carbon hydrogen bonds and CO2 utilisation where instead of treating CO2 as a thermodynamic endpoint, the aim will be to re-use it as a feedstock for bulk chemical and fuel production. The legacy of the research will be the development of a new catalyst design approach that will provide a tool box for future catalyst development.
One of the greatest challenges facing society is the sustainability of resources. At present, a step change in the sustainable use of resources is needed and catalysis lies at the heart of the solution by providing new routes to carbon dioxide mitigation, energy security and water conservation. It is clear that new high efficiency game-changing catalysts are required to meet the challenge. This proposal will focus on excellence in catalyst design by learning from recent step change advances in gold catalysis by challenging perceptions. Intense interest in gold catalysts over the past two decades has accelerated our understanding of gold particle-size effects, gold-support and gold-metal interactions, the interchange between atomic and ionic gold species, and the role of the gold-support interface in creating and maintaining catalytic activity. The field has also driven the development of cutting-edge techniques, particularly in microscopy and transient kinetics, providing detailed structural characterisation on the nano-scale and probing the short-range and often short-lived interactions. By comparison, our understanding of other metal catalysts has remained relatively static. The proposed programme will engender a step change in the design of supported-metal catalysts, by exploiting the learning and the techniques emerging from gold catalysis. The research will be set out in two themes. In Theme 1 two established key grand challenges will be attacked; namely, energy vectors and greenhouse gas control. Theme 2 will address two new and emerging grand challenges in catalysis namely the effective low temperature activation of primary carbon hydrogen bonds and CO2 utilisation where instead of treating CO2 as a thermodynamic endpoint, the aim will be to re-use it as a feedstock for bulk chemical and fuel production. The legacy of the research will be the development of a new catalyst design approach that will provide a tool box for future catalyst development.
Project acronym ARITHMUS
Project Peopling Europe: How data make a people
Researcher (PI) Evelyn Sharon Ruppert
Host Institution (HI) GOLDSMITHS' COLLEGE
Summary Who are the people of Europe? This question is facing statisticians as they grapple with standardising national census methods so that their numbers can be assembled into a European population. Yet, by so doing—intentionally or otherwise—they also contribute to the making of a European people. This, at least, is the central thesis of ARITHMUS. While typically framed as a methodological or statistical problem, the project approaches this as a practical and political problem of assembling multiple national populations into a European population and people. Why is this both an urgent political and practical problem? Politically, Europe is said to be unable to address itself to a constituted polity and people, which is crucial to European integration. Practically, its efforts to constitute a European population are also being challenged by digital technologies, which are being used to diversify census methods and bringing into question the comparability of national population data. Consequently, over the next several years Eurostat and national statistical institutes are negotiating regulations for the 2020 census round towards ensuring 'Europe-wide comparability.' ARITHMUS will follow this process and investigate the practices of statisticians as they juggle scientific independence, national autonomy and EU comparability to innovate census methods. It will then connect this practical work to political questions of the making and governing of a European people and polity. It will do so by going beyond state-of-the art scholarship on methods, politics and science and technology studies. Five case studies involving discourse analysis and ethnographic methods will investigate the situated practices of EU and national statisticians as they remake census methods, arguably the most fundamental changes since modern censuses were launched over two centuries ago. At the same time it will attend to how these practices affect the constitution of who are the people of Europe.
Who are the people of Europe? This question is facing statisticians as they grapple with standardising national census methods so that their numbers can be assembled into a European population. Yet, by so doing—intentionally or otherwise—they also contribute to the making of a European people. This, at least, is the central thesis of ARITHMUS. While typically framed as a methodological or statistical problem, the project approaches this as a practical and political problem of assembling multiple national populations into a European population and people. Why is this both an urgent political and practical problem? Politically, Europe is said to be unable to address itself to a constituted polity and people, which is crucial to European integration. Practically, its efforts to constitute a European population are also being challenged by digital technologies, which are being used to diversify census methods and bringing into question the comparability of national population data. Consequently, over the next several years Eurostat and national statistical institutes are negotiating regulations for the 2020 census round towards ensuring 'Europe-wide comparability.' ARITHMUS will follow this process and investigate the practices of statisticians as they juggle scientific independence, national autonomy and EU comparability to innovate census methods. It will then connect this practical work to political questions of the making and governing of a European people and polity. It will do so by going beyond state-of-the art scholarship on methods, politics and science and technology studies. Five case studies involving discourse analysis and ethnographic methods will investigate the situated practices of EU and national statisticians as they remake census methods, arguably the most fundamental changes since modern censuses were launched over two centuries ago. At the same time it will attend to how these practices affect the constitution of who are the people of Europe.
Project acronym ASYFAIR
Project Fair and Consistent Border Controls? A Critical, Multi-methodological and Interdisciplinary Study of Asylum Adjudication in Europe
Researcher (PI) Nicholas Mark Gill
Host Institution (HI) THE UNIVERSITY OF EXETER
Summary 'Consistency' is regularly cited as a desirable attribute of border control, but it has received little critical social scientific attention. This inter-disciplinary project, at the inter-face between critical human geography, border studies and law, will scrutinise the consistency of European asylum adjudication in order to develop richer theoretical understanding of this lynchpin concept. It will move beyond the administrative legal concepts of substantive and procedural consistency by advancing a three-fold conceptualisation of consistency – as everyday practice, discursive deployment of facts and disciplinary technique. In order to generate productive intellectual tension it will also employ an explicitly antagonistic conceptualisation of the relationship between geography and law that views law as seeking to constrain and systematise lived space. The project will employ an innovative combination of methodologies that will produce unique and rich data sets including quantitative analysis, multi-sited legal ethnography, discourse analysis and interviews, and the findings are likely to be of interest both to academic communities like geographers, legal and border scholars and to policy makers and activists working in border control settings. In 2013 the Common European Asylum System (CEAS) was launched to standardise the procedures of asylum determination. But as yet no sustained multi-methodological assessment of the claims of consistency inherent to the CEAS has been carried out. This project offers not only the opportunity to assess progress towards harmonisation of asylum determination processes in Europe, but will also provide a new conceptual framework with which to approach the dilemmas and risks of inconsistency in an area of law fraught with political controversy and uncertainty around the world. Most fundamentally, the project promises to debunk the myths surrounding the possibility of fair and consistent border controls in Europe and elsewhere.
'Consistency' is regularly cited as a desirable attribute of border control, but it has received little critical social scientific attention. This inter-disciplinary project, at the inter-face between critical human geography, border studies and law, will scrutinise the consistency of European asylum adjudication in order to develop richer theoretical understanding of this lynchpin concept. It will move beyond the administrative legal concepts of substantive and procedural consistency by advancing a three-fold conceptualisation of consistency – as everyday practice, discursive deployment of facts and disciplinary technique. In order to generate productive intellectual tension it will also employ an explicitly antagonistic conceptualisation of the relationship between geography and law that views law as seeking to constrain and systematise lived space. The project will employ an innovative combination of methodologies that will produce unique and rich data sets including quantitative analysis, multi-sited legal ethnography, discourse analysis and interviews, and the findings are likely to be of interest both to academic communities like geographers, legal and border scholars and to policy makers and activists working in border control settings. In 2013 the Common European Asylum System (CEAS) was launched to standardise the procedures of asylum determination. But as yet no sustained multi-methodological assessment of the claims of consistency inherent to the CEAS has been carried out. This project offers not only the opportunity to assess progress towards harmonisation of asylum determination processes in Europe, but will also provide a new conceptual framework with which to approach the dilemmas and risks of inconsistency in an area of law fraught with political controversy and uncertainty around the world. Most fundamentally, the project promises to debunk the myths surrounding the possibility of fair and consistent border controls in Europe and elsewhere.
Project acronym BAPS
Project Bayesian Agent-based Population Studies: Transforming Simulation Models of Human Migration
Researcher (PI) Jakub KAZIMIERZ BIJAK
Host Institution (HI) UNIVERSITY OF SOUTHAMPTON
Summary The aim of BAPS is to develop a ground-breaking simulation model of international migration, based on a population of intelligent, cognitive agents, their social networks and institutions, all interacting with one another. The project will transform the study of migration – one of the most uncertain population processes and a top-priority EU policy area – by offering a step change in the way it can be understood, predicted and managed. In this way, BAPS will effectively integrate behavioural and social theory with modelling. To develop micro-foundations for migration studies, model design will follow cutting-edge developments in demography, statistics, cognitive psychology and computer science. BAPS will also offer a pioneering environment for applying the findings in practice through a bespoke modelling language. Bayesian statistical principles will be used to design innovative computer experiments, and learn about modelling the simulated individuals and the way they make decisions. In BAPS, we will collate available information for migration models; build and test the simulations by applying experimental design principles to enhance our knowledge of migration processes; collect information on the underpinning decision-making mechanisms through psychological experiments; and design software for implementing Bayesian agent-based models in practice. The project will use various information sources to build models bottom-up, filling an important epistemological gap in demography. BAPS will be carried out by the Allianz European Demographer 2015, recognised as a leader in the field for methodological innovation, directing an interdisciplinary team with expertise in demography, agent-based models, statistical analysis of uncertainty, meta-cognition, and computer simulations. The project will open up exciting research possibilities beyond demography, and will generate both academic and practical impact, offering methodological advice for policy-relevant simulations.
The aim of BAPS is to develop a ground-breaking simulation model of international migration, based on a population of intelligent, cognitive agents, their social networks and institutions, all interacting with one another. The project will transform the study of migration – one of the most uncertain population processes and a top-priority EU policy area – by offering a step change in the way it can be understood, predicted and managed. In this way, BAPS will effectively integrate behavioural and social theory with modelling. To develop micro-foundations for migration studies, model design will follow cutting-edge developments in demography, statistics, cognitive psychology and computer science. BAPS will also offer a pioneering environment for applying the findings in practice through a bespoke modelling language. Bayesian statistical principles will be used to design innovative computer experiments, and learn about modelling the simulated individuals and the way they make decisions. In BAPS, we will collate available information for migration models; build and test the simulations by applying experimental design principles to enhance our knowledge of migration processes; collect information on the underpinning decision-making mechanisms through psychological experiments; and design software for implementing Bayesian agent-based models in practice. The project will use various information sources to build models bottom-up, filling an important epistemological gap in demography. BAPS will be carried out by the Allianz European Demographer 2015, recognised as a leader in the field for methodological innovation, directing an interdisciplinary team with expertise in demography, agent-based models, statistical analysis of uncertainty, meta-cognition, and computer simulations. The project will open up exciting research possibilities beyond demography, and will generate both academic and practical impact, offering methodological advice for policy-relevant simulations.
Project acronym BAYNET
Project Bayesian Networks and Non-Rational Expectations
Researcher (PI) Ran SPIEGLER
Summary "This project will develop a new framework for modeling economic agents having ""boundedly rational expectations"" (BRE). It is based on the concept of Bayesian networks (more generally, graphical models), borrowed from statistics and AI. In the framework's basic version, an agent is characterized by a directed acyclic graph (DAG) over the set of all relevant random variables. The DAG is the agent's ""type"" – it represents how he systematically distorts any objective probability distribution into a subjective belief. Technically, the distortion takes the form of the standard Bayesian-network factorization formula given by the agent's DAG. The agent's choice is modeled as a ""personal equilibrium"", because his subjective belief regarding the implications of his actions can vary with his own long-run behavior. The DAG representation unifies and simplifies existing models of BRE, subsuming them as special cases corresponding to distinct graphical representations. It captures hitherto-unmodeled fallacies such as reverse causation. The framework facilitates behavioral characterizations of general classes of models of BRE and expands their applicability. I will demonstrate this with applications to monetary policy, behavioral I.O., asset pricing, etc. I will extend the basic formalism to multi-agent environments, addressing issues beyond the reach of current models of BRE (e.g., formalizing the notion of ""high-order"" limited understanding of statistical regularities). Finally, I will seek a learning foundation for the graphical representation of BRE, in the sense that it will capture how the agent extrapolates his belief from a dataset (drawn from the objective distribution) containing ""missing values"", via some intuitive ""imputation method"". This part, too, borrows ideas from statistics and AI, further demonstrating the project's interdisciplinary nature."
"This project will develop a new framework for modeling economic agents having ""boundedly rational expectations"" (BRE). It is based on the concept of Bayesian networks (more generally, graphical models), borrowed from statistics and AI. In the framework's basic version, an agent is characterized by a directed acyclic graph (DAG) over the set of all relevant random variables. The DAG is the agent's ""type"" – it represents how he systematically distorts any objective probability distribution into a subjective belief. Technically, the distortion takes the form of the standard Bayesian-network factorization formula given by the agent's DAG. The agent's choice is modeled as a ""personal equilibrium"", because his subjective belief regarding the implications of his actions can vary with his own long-run behavior. The DAG representation unifies and simplifies existing models of BRE, subsuming them as special cases corresponding to distinct graphical representations. It captures hitherto-unmodeled fallacies such as reverse causation. The framework facilitates behavioral characterizations of general classes of models of BRE and expands their applicability. I will demonstrate this with applications to monetary policy, behavioral I.O., asset pricing, etc. I will extend the basic formalism to multi-agent environments, addressing issues beyond the reach of current models of BRE (e.g., formalizing the notion of ""high-order"" limited understanding of statistical regularities). Finally, I will seek a learning foundation for the graphical representation of BRE, in the sense that it will capture how the agent extrapolates his belief from a dataset (drawn from the objective distribution) containing ""missing values"", via some intuitive ""imputation method"". This part, too, borrows ideas from statistics and AI, further demonstrating the project's interdisciplinary nature."
Project acronym BEHAVFRICTIONS
Project Behavioral Implications of Information-Processing Frictions
Researcher (PI) Jakub STEINER
Host Institution (HI) NARODOHOSPODARSKY USTAV AKADEMIE VED CESKE REPUBLIKY VEREJNA VYZKUMNA INSTITUCE
Summary BEHAVFRICTIONS will use novel models focussing on information-processing frictions to explain choice patterns described in behavioral economics and psychology. The proposed research will provide microfoundations that are essential for (i) identification of stable preferences, (ii) counterfactual predictions, and (iii) normative conclusions. (i) Agents who face information-processing costs must trade the precision of choice against information costs. Their behavior thus reflects both their stable preferences and the context-dependent procedures that manage their errors stemming from imperfect information processing. In the absence of micro-founded models, the two drivers of the behavior are difficult to disentangle for outside observers. In some pillars of the proposal, the agents follow choice rules that closely resemble logit rules used in structural estimation. This will allow me to reinterpret the structural estimation fits to choice data and to make a distinction between the stable preferences and frictions. (ii) Such a distinction is important in counterfactual policy analysis because the second-best decision procedures that manage the errors in choice are affected by the analysed policy. Incorporation of the information-processing frictions into existing empirical methods will improve our ability to predict effects of the policies. (iii) My preliminary results suggest that when an agent is prone to committing errors, biases--such as overconfidence, confirmatory bias, or perception biases known from prospect theory--arise under second-best strategies. By providing the link between the agent's environment and the second-best distribution of the perception errors, my models will delineate environments in which these biases shield the agents from the most costly mistakes from environments in which the biases turn into maladaptations. The distinction will inform the normative debate on debiasing.
BEHAVFRICTIONS will use novel models focussing on information-processing frictions to explain choice patterns described in behavioral economics and psychology. The proposed research will provide microfoundations that are essential for (i) identification of stable preferences, (ii) counterfactual predictions, and (iii) normative conclusions. (i) Agents who face information-processing costs must trade the precision of choice against information costs. Their behavior thus reflects both their stable preferences and the context-dependent procedures that manage their errors stemming from imperfect information processing. In the absence of micro-founded models, the two drivers of the behavior are difficult to disentangle for outside observers. In some pillars of the proposal, the agents follow choice rules that closely resemble logit rules used in structural estimation. This will allow me to reinterpret the structural estimation fits to choice data and to make a distinction between the stable preferences and frictions. (ii) Such a distinction is important in counterfactual policy analysis because the second-best decision procedures that manage the errors in choice are affected by the analysed policy. Incorporation of the information-processing frictions into existing empirical methods will improve our ability to predict effects of the policies. (iii) My preliminary results suggest that when an agent is prone to committing errors, biases--such as overconfidence, confirmatory bias, or perception biases known from prospect theory--arise under second-best strategies. By providing the link between the agent's environment and the second-best distribution of the perception errors, my models will delineate environments in which these biases shield the agents from the most costly mistakes from environments in which the biases turn into maladaptations. The distinction will inform the normative debate on debiasing.
Project acronym BIGlobal
Project Firm Growth and Market Power in the Global Economy
Researcher (PI) Swati DHINGRA
Host Institution (HI) LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Summary According to the European Commission, to design effective policies for ensuring a "more dynamic, innovative and competitive" economy, it is essential to understand the decision-making process of firms as they differ a lot in terms of their capacities and policy responses (EC 2007). The objective of my future research is to provide such an analysis. BIGlobal will examine the sources of firm growth and market power to provide new insights into welfare and policy in a globalized world. Much of analysis of the global economy is set in the paradigm of markets that allocate resources efficiently and there is little role for policy. But big firms dominate economic activity, especially across borders. How do firms grow and what is the effect of their market power on the welfare impact of globalization? This project will determine how firm decisions matter for the aggregate gains from globalization, the division of these gains across different individuals and their implications for policy design. Over the next five years, I will incorporate richer firms behaviour in models of international trade to understand how trade and industrial policies impact the growth process, especially in less developed markets. The specific questions I will address include: how can trade and competition policy ensure consumers benefit from globalization when firms engaged in international trade have market power, how do domestic policies to encourage agribusiness firms affect the extent to which small farmers gain from trade, how do industrial policies affect firm growth through input linkages, and what is the impact of banking globalization on the growth of firms in the real sector. Each project will combine theoretical work with rich data from developing economies to expand the frontier of knowledge on trade and industrial policy, and to provide a basis for informed policymaking.
According to the European Commission, to design effective policies for ensuring a "more dynamic, innovative and competitive" economy, it is essential to understand the decision-making process of firms as they differ a lot in terms of their capacities and policy responses (EC 2007). The objective of my future research is to provide such an analysis. BIGlobal will examine the sources of firm growth and market power to provide new insights into welfare and policy in a globalized world. Much of analysis of the global economy is set in the paradigm of markets that allocate resources efficiently and there is little role for policy. But big firms dominate economic activity, especially across borders. How do firms grow and what is the effect of their market power on the welfare impact of globalization? This project will determine how firm decisions matter for the aggregate gains from globalization, the division of these gains across different individuals and their implications for policy design. Over the next five years, I will incorporate richer firms behaviour in models of international trade to understand how trade and industrial policies impact the growth process, especially in less developed markets. The specific questions I will address include: how can trade and competition policy ensure consumers benefit from globalization when firms engaged in international trade have market power, how do domestic policies to encourage agribusiness firms affect the extent to which small farmers gain from trade, how do industrial policies affect firm growth through input linkages, and what is the impact of banking globalization on the growth of firms in the real sector. Each project will combine theoretical work with rich data from developing economies to expand the frontier of knowledge on trade and industrial policy, and to provide a basis for informed policymaking.
Project acronym BioDisOrder
Project Order and Disorder at the Surface of Biological Membranes.
Researcher (PI) Alfonso DE SIMONE
Host Institution (HI) IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Summary Heterogeneous biomolecular mechanisms at the surface of cellular membranes are often fundamental to generate function and dysfunction in living systems. These processes are governed by transient and dynamical macromolecular interactions that pose tremendous challenges to current analytical tools, as the majority of these methods perform best in the study of well-defined and poorly dynamical systems. This proposal aims at a radical innovation in the characterisation of complex processes that are dominated by structural order and disorder, including those occurring at the surface of biological membranes such as cellular signalling, the assembly of molecular machinery, or the regulation vesicular trafficking. I outline a programme to realise a vision where the combination of experiments and theory can delineate a new analytical platform to study complex biochemical mechanisms at a multiscale level, and to elucidate their role in physiological and pathological contexts. To achieve this ambitious goal, my research team will develop tools based on the combination of nuclear magnetic resonance (NMR) spectroscopy and molecular simulations, which will enable probing the structure, dynamics, thermodynamics and kinetics of complex protein-protein and protein-membrane interactions occurring at the surface of cellular membranes. The ability to advance both the experimental and theoretical sides, and their combination, is fundamental to define the next generation of methods to achieve our transformative aims. We will provide evidence of the innovative nature of the proposed multiscale approach by addressing some of the great questions in neuroscience and elucidate the details of how functional and aberrant biological complexity is achieved via the fine tuning between structural order and disorder at the neuronal synapse.
Heterogeneous biomolecular mechanisms at the surface of cellular membranes are often fundamental to generate function and dysfunction in living systems. These processes are governed by transient and dynamical macromolecular interactions that pose tremendous challenges to current analytical tools, as the majority of these methods perform best in the study of well-defined and poorly dynamical systems. This proposal aims at a radical innovation in the characterisation of complex processes that are dominated by structural order and disorder, including those occurring at the surface of biological membranes such as cellular signalling, the assembly of molecular machinery, or the regulation vesicular trafficking. I outline a programme to realise a vision where the combination of experiments and theory can delineate a new analytical platform to study complex biochemical mechanisms at a multiscale level, and to elucidate their role in physiological and pathological contexts. To achieve this ambitious goal, my research team will develop tools based on the combination of nuclear magnetic resonance (NMR) spectroscopy and molecular simulations, which will enable probing the structure, dynamics, thermodynamics and kinetics of complex protein-protein and protein-membrane interactions occurring at the surface of cellular membranes. The ability to advance both the experimental and theoretical sides, and their combination, is fundamental to define the next generation of methods to achieve our transformative aims. We will provide evidence of the innovative nature of the proposed multiscale approach by addressing some of the great questions in neuroscience and elucidate the details of how functional and aberrant biological complexity is achieved via the fine tuning between structural order and disorder at the neuronal synapse.
Project acronym BIOSEC
Project Biodiversity and Security: understanding environmental crime, illegal wildlife trade and threat finance.
Researcher (PI) Rosaleen DUFFY
Host Institution (HI) THE UNIVERSITY OF SHEFFIELD
Summary The core intellectual aim of BIOSEC is to explore whether concerns about biodiversity protection and global security are becoming integrated, and if so, in what ways. It will do so via building new theoretical approaches for political ecology. Achim Steiner, UN Under-Secretary General and Executive Director of UNEP recently stated 'the scale and role of wildlife and forest crime in threat finance calls for much wider policy attention'. The argument that wildlife trafficking constitutes a significant source of 'threat finance' takes two forms: first as a lucrative business for organised crime networks in Europe and Asia, and second as a source of finance for militias and terrorist networks, most notably Al Shabaab, Lord's Resistance Army and Janjaweed. BIOSEC is a four year project designed to lead debates on these emerging challenges. It will build pioneering theoretical approaches and generate new empirical data. BIOSEC takes a fully integrated approach: it will produce a better conceptual understanding of the role of illegal wildlife trade in generating threat finance; it will examine the links between source and end user countries for wildlife products; and it will investigate and analyse the emerging responses of NGOs, government agencies and international organisations to these challenges. BIOSEC goes beyond the 'state-of-the art' because biodiversity protection and global security currently inhabit distinctive intellectual 'silos'; however, they need to be analysed via an interdisciplinary research agenda that cuts across human geography, politics and international relations, criminology and conservation biology. This research is timely because in the last two years, the idea that the illegal wildlife trade constitutes a major security threat has become more prevalent in academic and policy circles, yet it is an area that is under researched and poorly understood. These recent shifts demand urgent conceptual and empirical interrogation.
The core intellectual aim of BIOSEC is to explore whether concerns about biodiversity protection and global security are becoming integrated, and if so, in what ways. It will do so via building new theoretical approaches for political ecology. Achim Steiner, UN Under-Secretary General and Executive Director of UNEP recently stated 'the scale and role of wildlife and forest crime in threat finance calls for much wider policy attention'. The argument that wildlife trafficking constitutes a significant source of 'threat finance' takes two forms: first as a lucrative business for organised crime networks in Europe and Asia, and second as a source of finance for militias and terrorist networks, most notably Al Shabaab, Lord's Resistance Army and Janjaweed. BIOSEC is a four year project designed to lead debates on these emerging challenges. It will build pioneering theoretical approaches and generate new empirical data. BIOSEC takes a fully integrated approach: it will produce a better conceptual understanding of the role of illegal wildlife trade in generating threat finance; it will examine the links between source and end user countries for wildlife products; and it will investigate and analyse the emerging responses of NGOs, government agencies and international organisations to these challenges. BIOSEC goes beyond the 'state-of-the art' because biodiversity protection and global security currently inhabit distinctive intellectual 'silos'; however, they need to be analysed via an interdisciplinary research agenda that cuts across human geography, politics and international relations, criminology and conservation biology. This research is timely because in the last two years, the idea that the illegal wildlife trade constitutes a major security threat has become more prevalent in academic and policy circles, yet it is an area that is under researched and poorly understood. These recent shifts demand urgent conceptual and empirical interrogation.