Jose Apesteguia is an ICREA Research Professor at the Department of Economics and Business, Universitat Pompeu Fabra, Barcelona, Spain. His research focuses on behavioral economics, decision theory, experimental economics, and game theory, with particular emphasis on topics such as behavioral heterogeneity, rationality measures, stochastic choice models, and social preferences. Apesteguia has collaborated extensively with scholars like Miguel A. Ballester and Jörg Oechssler, producing influential work on topics ranging from imitation dynamics to the impact of language on moral decisions. His research integrates theoretical frameworks with experimental methods, exploring how individuals make decisions under uncertainty, time preferences, and social contexts. Key contributions include the development of measures of rationality and welfare, as well as analyses of behavioral adaptation and the role of information in competitive environments. His work frequently bridges economic theory with empirical validation, addressing real-world issues such as rule compliance in public institutions and team performance in organizations. Apesteguia’s publications span top journals including the American Economic Journal: Microeconomics , Journal of Economic Theory , and Econometrica . He teaches advanced courses on bounded rationality and behavioral decision theory at the undergraduate and graduate levels. His research has been applied to fields like finance (e.g., copy trading behavior) and public policy (e.g., promoting compliance in libraries).
Amy R Greenwald is a Professor of Computer Science at Brown University. Her research spans artificial intelligence, algorithmic game theory, and computational economics, with a focus on multiagent reinforcement learning and market equilibrium computation. Education PhD, New York University (1999) MS, Cornell University (1995) MS, Oxford University (1992) BS, University of Pennsylvania (1991) Research Focus Greenwald's work explores strategic interactions in computational systems, including: Game-theoretic modeling of multiagent systems Algorithmic approaches to market equilibrium Simulation-based equilibrium learning Stackelberg game formulations for hierarchical decision making Applications to supply chain negotiations and economic design Her recent publications emphasize tractable equilibrium computation, social influence in economic models, and advanced reinforcement learning techniques for strategic settings. Teaching CSCI 0100 - Data Fluency for All CSCI 0180 - Computer Science: An Integrated Introduction CSCI 1440 - Algorithmic Game Theory CSCI 2440 - Advanced Algorithmic Game Theory CSCI 2951Z - Advanced Algorithmic Game Theory
Marina Agranov is Professor of Economics at the California Institute of Technology (Caltech), affiliated with the Division of Humanities and Social Sciences. She directs research through the Ronald and Maxine Linde Institute of Economic and Management Sciences, Center for Social Information Sciences (CSIS), and Center for Theoretical and Experimental Social Sciences (CTESS), and serves as Research Associate at the National Bureau of Economic Research (NBER). Her academic credentials include a B.A. from St. Petersburg State Technical University (1999), M.A. from Tel Aviv University (2004), and Ph.D. from New York University (2010). She joined Caltech as Assistant Professor in 2010 and was promoted to full Professor in 2017. Agranov's research pioneers experimental and behavioral economics, focusing on strategic decision-making in bargaining games, social learning environments, network interactions, and information dynamics. Her work examines how individuals form beliefs and navigate tensions between personal goals and collective outcomes, often using controlled laboratory experiments to test theoretical predictions about human behavior under uncertainty. Her recent publications reveal a consistent methodological approach: blending game-theoretic models with experimental validation to investigate communication effects, randomization preferences, and institutional design. Key trends include analyzing how uncertainty impacts committee negotiations, how complexity influences egalitarian outcomes in legislative bargaining, and how information structures shape social learning on networks. Her scientific recognition includes: Associated Students of Caltech (ASCIT) Teaching Award (2017-18) Professor Agranov's research has secured significant institutional support through Caltech centers and NBER affiliation, with findings featured in major economics journals and Caltech news coverage including "Decision by Committee: How Uncertainty Shapes Negotiations" (December 2024) and "Experimental Economics in Theory and Practice" (July 2023). Her work on committee decision-making under uncertainty has direct implications for institutional design in political and corporate governance. She actively contributes to Caltech's research ecosystem through CSIS and CTESS, which facilitate interdisciplinary collaborations in social sciences and experimental methodology development.
Professor Gabrielle Lynch is a leading scholar in Comparative Politics and African Studies at the University of Warwick. She holds the academic rank of Professor and serves as PAIS Impact Director, Comparative Politics cluster lead, and Warwick UCU Equalities Officer. Her research focuses on ethnic identities, elections, transitional justice, and social media's role in African politics. Lynch earned her BA, MPhil, and DPhil from the University of Oxford. She has conducted extensive fieldwork in Kenya, Ghana, and Uganda, supported by grants from the ESRC, Warwick Policy Support Fund, and others. Her awards include the ESRC Award for Outstanding International Impact (2019) and the Market Research Society’s President’s Medal. Lynch is editor of African Affairs and a member of the African Studies Association of the UK and British Institute in Eastern Africa. Lynch’s work bridges academia and public engagement, including columns in The Saturday Nation and The East African . She founded the African Judiciaries Research Network and co-authored influential books like Performances of Injustices and The Moral Economy of Elections in Africa . Her research emphasizes democratization challenges, electoral integrity, and the intersection of technology and politics in Africa.
Professor Torun Dewan is a Professor of Political Science and Deputy Head of Department for Research in the Department of Government at the London School of Economics and Political Science (LSE). Her expertise lies in Political Economy, Political Parties, and Coalitions. She holds a position in CBG 4.22 and can be contacted at t.dewan@lse.ac.uk. Her work spans historical and contemporary political analysis, including studies on Victorian voting patterns, electoral competition dynamics, and ministerial tenure in the UK. Key research interests include the origins of party orientation, class alignment, and coalition formation. Her research also explores topics such as refugee protection policies and implicit burden-sharing mechanisms. She has contributed to edited volumes on rational choice theory and political behavior. No scientific awards or grants are explicitly mentioned in the provided texts. Her advising record is not detailed here. She is affiliated with the LSE's Department of Government, contributing to both research and administrative leadership roles.
İBRAHİM ERDEM SEÇİLMİŞ is a Professor of Economics at Hacettepe University's Faculty of Economics and Administrative Sciences. His research focuses on experimental economics, public goods theory, behavioral economics, and tax policy with notable contributions to understanding risk perception, social discount rates, and creative industries in Mediterranean economies. He has authored/co-authored over 40 peer-reviewed publications and edited several academic volumes. Key research areas include: Experimental analysis of public goods provision Behavioral responses to environmental policies Comparative analysis of social discount rates in transition economies Evaluation of tax reforms through behavioral lenses Impact of cultural industries on regional development Notable publications include seminal works on Turkish presidential election policies (2025), risk aversion in public goods (2019), and Mediterranean creative industries (2016). His work frequently bridges theoretical economics with policy applications, particularly focusing on sustainability and social equity. He has presented at international conferences such as the Regional Studies Association European Conference (2014) and contributed to edited volumes on game theory applications and economic philosophy. Current research trends emphasize behavioral tax policy design and the socio-economic consequences of rising inequality.
Daniel E. Ho holds multiple prestigious positions at Stanford University: William Benjamin Scott and Luna M. Scott Professor of Law Professor of Political Science Professor of Computer Science (by courtesy) Senior Fellow, Stanford Institute for Economic Policy Research Senior Fellow, Stanford Institute for Human-Centered Artificial Intelligence Faculty Fellow, Center for Advanced Study in the Behavioral Sciences He serves on the National Artificial Intelligence Advisory Commission (NAIAC), as Senior Advisor on Responsible AI at the U.S. Department of Labor, and as a Public Member of the Administrative Conference of the United States (ACUS). Ho earned his J.D. from Yale Law School and Ph.D. from Harvard University, completing a clerkship with Judge Stephen F. Williams on the U.S. Court of Appeals for the District of Columbia Circuit. His research bridges artificial intelligence, law, and public policy with emphasis on: Regulatory governance frameworks for AI systems Fairness and bias mitigation in algorithmic decision-making Environmental enforcement using satellite imagery and computer vision Methods for estimating racial disparities without direct demographic data Legal AI reliability and statutory research systems Analysis of his 2025 publications reveals a consistent focus on practical AI governance tools addressing real-world regulatory challenges. Key themes include developing benchmarks for legal applications, mitigating hallucination in legal AI tools, and creating systems for statutory research. His work demonstrates strong integration of technical AI methods with policy implementation, particularly in environmental enforcement and fairness assessment. As Director of the Regulation, Evaluation, and Governance Lab (RegLab), Ho leads interdisciplinary research partnerships with government agencies. While specific grant details aren't provided, RegLab's operational model indicates substantial research funding for policy-relevant AI projects. No student advisees are mentioned in available materials. Ho's leadership extends to national advisory roles where he shapes federal AI policy through evidence-based recommendations, particularly regarding environmental protection and civil rights enforcement mechanisms.
Professor Jason Rentfrow is a Professor of Personality & Individual Differences and Director of Graduate Education at the University of Cambridge's Department of Psychology. His research focuses on geographical psychology, exploring how regional environments shape personality, cultural differences, and societal outcomes. He also serves as Director of Studies in Psychology at Fitzwilliam College, Cambridge. Key research interests include the psychological effects of geography on traits like openness, conscientiousness, and neuroticism; the role of music preferences in personality expression; and the impact of socioeconomic status on self-concept. He has pioneered studies linking personality to political behavior, urban planning, and public health responses to crises like the 2020 pandemic. His work combines large-scale data analysis with spatial methodology, examining datasets from over 133 nations. Notable contributions include frameworks for measuring regional personality differences and their implications for innovation, entrepreneurship, and electoral outcomes. He has also developed psychometric tools like the Test of Attribute Preferences (TAP) for studying musical preferences. Recent research highlights include analyzing how Roman historical legacies influence modern German well-being disparities, the psychological roots of Brexit and Trump voter behavior, and the link between childhood trauma and adult empathy levels. His interdisciplinary approach spans psychology, sociology, economics, and geography. Professional activities include supervising graduate students, reviewing for top journals, and advising on cultural policy. He maintains an active lab focused on personality-environment interactions and their societal consequences.
Airo Hino is a Professor at the Faculty of Political Science and Economics , Waseda University. He holds a Ph.D. in Government from the University of Essex and MA/BA in Political Science from Waseda University. His work spans Comparative Politics , Voting Behavior , and Political Communication , with a focus on populism , authoritarian values , and Twitter-based well-being indicators . Education: Ph.D. (University of Essex), MA/BA (Waseda University) His research explores electoral systems , party polarization , and social media's role in politics , including the development of the SWB-J index for measuring subjective well-being via Twitter. His 2021-2024 publications analyze populist attitudes, conspiracy theories, and electoral dynamics in Japan and global contexts. Scientific awards include: 2021 - Best Paper Award, International QCA Paper Development Workshop 2016 - Waseda Research Award (High-Impact Publication) 2015 - Okuma Memorial Academic Award 2015 - Best Article Award, Japanese Association of Electoral Studies He has received JSPS KAKENHI grants (2020-2025) for studies on political polarization and populism , and 2017-2022 grants for research on electoral system impacts .
Dr. Jonathan Bright is a Senior Research Fellow and Associate Professor at the Oxford Internet Institute, University of Oxford , specializing in computational approaches to the social and political sciences. His research explores how digital technologies reshape political participation and how new data sources enhance governmental decision-making. Research Interests: Focused on social media, political behavior, computational social science, and big data , Bright’s work addresses digital governance, algorithmic bureaucracy, and the dynamics of political fragmentation online. His empirical studies span open government data usage, crowdsourced geographical information, and the impact of neighborhood effects on data completeness. Scientific Contributions: Leading studies on algorithmic governance in UK local authorities (2020) Investigating geodemographic biases in crowdsourced platforms like OpenStreetMap (2018) Mapping political fragmentation in social media ecosystems (2018) Grants & Collaborations: Funded by UK taxpayers, ESRC, and Google, his work intersects with projects on vaccine misinformation, hate speech monitoring, and digital economies. Formerly held positions as Research Fellow and Research Associate at OII from 2013 to present.
Mallory Elizabeth SoRelle serves as the Tony & Teddie Brown Associate Professor at Duke University's Sanford School of Public Policy. Her research examines how public policies both stem from and perpetuate socioeconomic and political inequality in the U.S., with a focus on consumer financial protection and civil justice—issues critical to marginalized communities yet often neglected by welfare state scholars. Her academic credentials include: Ph.D. in Government, Cornell University (2016) M.A. in Government, Cornell University (2014) Master of Public Policy, Harvard University (2010) B.A. in Government, Smith College (2006) SoRelle's scholarly work centers on policy feedback effects, investigating how existing policies shape political behavior and future policy design. She analyzes consumer finance regulation, student debt relief, voting access reforms, and preemption politics, highlighting their disparate impacts on vulnerable populations and implications for democratic health. Her recent publications demonstrate a cohesive research agenda applying policy feedback theory across diverse policy domains. Key themes include the political consequences of financial regulation, the dynamics of student debt politics, and the erosion of voting rights, all examined through the lens of inequality and democratic participation. Dr. SoRelle holds the distinguished Tony & Teddie Brown Associate Professorship at Duke University. She is an active educator teaching courses such as The Political Economy of Policymaking and Public Policy, Political Power, and Social Change. Her research is supported by an NSF CAREER grant (2024-2029) investigating the political economy of fringe financial technologies and their impact on economic inequality.
Elias Dinas is a Full-time Professor in the Department of Political and Social Sciences at the European University Institute (EUI). He holds the Swiss Chair in Federalism, Democracy, and International Governance. His research focuses on political socialization, authoritarian legacies, and research methodology. Dinas earned his PhD in Political Science from the EUI in 2010. His research interests include the impact of historical traumas on political attitudes, experimental methods, and the dynamics of norm change. He collaborates with institutions like the Graduate Institute in Geneva through seminars, conferences, and methodological workshops. Recent work explores topics such as ideology mapping via AI, the electoral effects of early voting experiences, and the interplay between migration crises and public policy. His research has been published in top journals like the American Political Science Review and highlighted in outlets like The New York Times. Received the Michael Wallerstein Award (2019) for his work on migration and hostility. Supervises 14 students researching memory politics, norm change, and intergroup relations. Leads projects on post-authoritarian ideologies, German political identity, and elite-driven norm erosion. His teaching and supervision emphasize causal inference, experimental design, and quantitative methods, reflecting his commitment to rigorous political analysis.
Sandro Ambuehl is the UBS Foundation Assistant Professor of Behavioral Economics of Financial Markets at the Department of Economics, University of Zurich. He holds a PhD in Economics from Stanford University (2016) and previously served as Assistant Professor at the University of Toronto's Rotman School of Business. His research focuses on improving financial decision-making, ethical incentives in repugnant transactions (e.g., organ donation, clinical trials), and foundational decision theory. He employs experimental and theoretical methods, supported by grants like the Swiss National Science Foundation Starting Grant (2022) and the Alfred P. Sloan Foundation (2017). Education: PhD in Economics (Stanford University, 2016); previous roles include Assistant Professor at University of Toronto (Rotman School of Business and Department of Management, UTSC). Research Interests: Behavioral and experimental economics, financial decision-making interventions, ethical policies for repugnant transactions, and welfare economics. His work has been featured in outlets like the Wall Street Journal , Financial Times , and NPR . Articles highlight themes like paternalistic motivations, participation incentives in trials, and welfare state design. His 2021 American Economic Review paper on paternalism earned the Exeter Prize. Recent studies explore blind peer advice in finance and welfare state preferences through experiments. Awards include the Exeter Prize (2022), Alfred P. Sloan Grant (2017), and Swiss National Science Foundation support. Grants focus on behavioral welfare economics and policy interventions. Labs/Teams: Affiliated with the UBS Center for Economics in Society at UZH, contributing to interdisciplinary behavioral economics research.
Rosa Ferrer is a Serra-Hunter Associate Professor at Universitat Pompeu Fabra and an Associate Research Professor at the Barcelona School of Economics. She also serves as a Research Affiliate at CEPR in London and as Co-Director of the Master in Competition, Regulation & Markets program. Her academic journey began with a PhD from Vanderbilt University, establishing a strong foundation for her research career in economics. Dr. Ferrer's research spans several key areas within economics, with a particular focus on Law and Economics, Industrial Organization, and the Digital Economy. She combines empirical and theoretical methods to explore consumer choice, demand estimation, gender economics, and law enforcement challenges. Her work is inspired by Gary Becker's view on economic incentives beyond monetary rewards, applying industrial organization and applied microeconomics to diverse applications. She has made significant contributions to understanding gender gaps in professional performance, particularly in the legal profession, as well as consumer behavior in product-harm crises and digital markets. Her publication record demonstrates consistent scholarly output across high-impact journals including Management Science, Journal of Political Economy, and Review of Economic Studies. Her recent work focuses on digital economy challenges, gender differences in media consumption, and career trajectories in professional settings. This research portfolio shows a clear progression from foundational work in law enforcement and decision theory to contemporary issues in digital markets and gender economics. As Co-Director of the Master in Competition, Regulation & Markets, Dr. Ferrer plays a significant role in shaping the next generation of economists and policy experts. Her leadership in this program reflects her commitment to bridging academic research with practical policy applications in competition and regulatory frameworks.
Stephen Billings is an Associate Professor of Finance at the Leeds School of Business, University of Colorado Boulder, where he holds the Global Real Estate Capital Markets Chair position. He serves as the faculty director of the MS in Real Estate program and research director for the CU Real Estate Center. His work spans multiple research centers including the Center for Research on Consumer Financial Decision Making and the Michael A. Klump Center for Real Estate. Billings received his PhD in Economics from the University of Colorado, a MS in urban planning from the University of North Carolina, and a BS in economics from Georgetown University. Prior to joining CU Boulder in 2016, he was faculty at the University of North Carolina Charlotte with appointments in both economics and public policy, where he also served as faculty director for the real estate center. His research focuses on the intersection of housing, schools, neighborhoods and crime, addressing critical policy issues including the impact of public investment in light-rail transit on neighborhoods, school segregation's influence on academic achievement and crime, neighborhood gentrification causes, lead-based paint in low-income housing, and the effects of sea level rise and natural disasters on neighborhood sorting and household finances. Billings employs sophisticated analysis of large micro-datasets with studies based on data and policies in Charlotte, NC and Denver, CO. His work connects urban economics with public policy, demonstrating how neighborhood environments shape individual outcomes across multiple dimensions. Billings' recent publication record demonstrates a consistent focus on neighborhood effects, school choice impacts, crime economics, and housing market dynamics. His work frequently examines the intersection of race, housing, and economic outcomes, with particular attention to policy implications. He has developed innovative methodological approaches to studying residential amenities and neighborhood spillovers, with increasing attention to climate change impacts on housing markets. His research appears in top journals including The Quarterly Journal of Economics, American Economic Review: Insights, and Journal of Urban Economics. As an educator, Billings teaches undergraduate and masters classes in real estate finance and economics, as well as doctoral and masters level courses on cost-benefit analysis and statistical methods. He has extensive consulting experience conducting economic impact studies, including assessments of North Carolina's public higher education system, affordable housing needs in Colorado communities, and the economic effects of marijuana legalization on property markets. His practical policy work complements his academic research, creating a bridge between theoretical insights and real-world applications. Billings leads significant research initiatives through the CU Real Estate Center, where he directs studies examining the impact of business improvement districts and other urban development policies. His work bridges academic research with practical policy applications, making substantial contributions to our understanding of how housing, education, and neighborhood environments shape individual outcomes and community development. His December 2023 memo on the HUD Officer Next Door Program exemplifies his engagement with current housing policy issues.
