جست‌وجوی استاد و پژوهشگر

James A. Robinsonمشاهده پروفایل

استاد

• Political Economy
• Economic Development
• Institutional Analysis
• +۳ مورد دیگر

James A. Robinson is a University Professor at the University of Chicago with joint appointments in the Harris School of Public Policy and Department of Political Science. An economist and political scientist, he conducts influential research on political and economic development, examining how political power, institutions, and prosperity interact through both quantitative economic modeling and qualitative fieldwork methodologies. Robinson's research focuses on institutional analysis and political economy, with deep regional expertise in sub-Saharan Africa and Latin America. He has conducted extensive fieldwork across Bolivia, Colombia, Haiti, Democratic Republic of Congo, Nigeria, Sierra Leone, South Africa, and Zimbabwe, investigating how historical institutions shape contemporary economic outcomes. His interdisciplinary approach integrates economic theory with anthropological and historical case studies to explain patterns of economic divergence and political stability. Recent publications (2023-2025) reveal persistent themes in institutional persistence, state-society dynamics, and the cultural foundations of development. His work increasingly examines the interaction of economic and political inequality, the role of non-institutional factors in leadership strategies, and the historical roots of peripheral development trajectories across diverse global contexts. Scientific recognition includes: 2024 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel Fellow, Institute of African Studies at the University of Nigeria, Nsukka Robinson co-authored three seminal books with Daron Acemoglu: Economic Origins of Dictatorship and Democracy (theoretical foundations of regime stability), Why Nations Fail (translated into 41 languages, arguing inclusive institutions drive prosperity), and The Narrow Corridor (analyzing state-society struggles for liberty). He maintained a 28-year summer school at Colombia's University of the Andes (1994-2022) and continues active research collaborations across Africa and Latin America.

Esther Dufloمشاهده پروفایل

استاد

• Development Economics
• Poverty Alleviation
• Health
• +۷ مورد دیگر

Esther Duflo is the Abdul Latif Jameel Professor of Poverty Alleviation and Development Economics in the Department of Economics at the Massachusetts Institute of Technology (MIT). She is also co-founder and co-director of the Abdul Latif Jameel Poverty Action Lab (J-PAL), holds the Chaire, Pauvreté et politiques publiques at the Collège de France, and serves as President of the Paris School of Economics. Her research focuses on understanding the economic lives of people living in poverty to help design and evaluate social policies. Her work spans multiple domains including: Development Economics Poverty Alleviation strategies Health interventions Educational programs Financial inclusion initiatives Environmental policy Governance improvements Duflo revolutionized developmental economics by pioneering the use of randomized controlled trials to test poverty reduction measures. Her empirical approach has challenged conventional opinions about development and has helped improve the efficient use of resources in poverty alleviation programs worldwide. She co-authored the influential books "Poor Economics" and "Good Economics for Hard Times" with Abhijit Banerjee, demonstrating through field experiments how specific interventions (like providing lentils to mothers for child immunization) can dramatically improve social outcomes. Her notable scientific achievements include: Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel (2019) Princess of Asturias Award for Social Sciences (2015) Infosys Prize (2014) John Bates Clark Medal (2010) MacArthur "Genius Grant" Fellowship (2009) A.SK Social Science Award (2015) Duflo has established J-PAL as a global network of over a hundred affiliated professors who use scientific evidence to inform policy decisions in the fight against poverty. J-PAL has offices across Africa, Europe, Latin America and the Caribbean, North America, and South and Southeast Asia. Her work has demonstrated the crucial importance of information in policymaking, with numerous field experiments showing how carefully designed interventions can have significant impacts on social outcomes across multiple domains including health, education, and economic opportunity.

Sean Caoمشاهده پروفایل

دانشیار

• Artificial Intelligence in Finance
• Machine Learning Applications
• Capital Market Research
• +۵ مورد دیگر

Sean Cao serves as Associate Professor (with tenure) at the Robert H. Smith School of Business, University of Maryland, where he is Director and Co-founder of the AI Initiative for Capital Market Research. He also holds an affiliation as professor at Harvard Business School's D 3 Institute. His academic journey began with a Ph.D. from the University of Illinois at Urbana-Champaign. Dr. Cao's research focuses on the intersection of artificial intelligence and capital markets, with particular expertise in how machine learning transforms financial analysis, corporate disclosure practices, and investment decision-making. His work examines the evolving relationship between human analysts and AI systems, blockchain applications in financial reporting, and the strategic adaptation of corporate communications for machine readership. He has pioneered research on the "AI divide" among investor groups and developed frameworks for human-AI collaborative stock analysis. His publication portfolio spans top journals including Journal of Financial Economics, Review of Financial Studies, Journal of Accounting Research, and Management Science. The research demonstrates consistent thematic progression toward increasingly sophisticated AI applications in finance, with recent work exploring distributed ledger technologies for auditing, machine learning for extracting private information from disclosures, and the economics of greenwashing in ESG funds. His studies frequently combine textual analysis with traditional financial metrics to uncover novel market insights. Fama-DFA Prize from Journal of Financial Economics for best paper in capital markets and asset pricing Michael J. Brennan Award from Review of Financial Studies Deloitte Initiative for AI and Learning award for developing trustworthy AI for social equity PanAgora Asset Management's Dr. Richard A. Crowell Memorial Prize Multiple best paper awards from Midwest Finance Association, Global AI Finance Conference, and Asian Finance Association Dr. Cao has delivered over 200 invited research talks at major institutions including the Central Bank of Japan, Central Bank of Thailand, and U.S. Securities and Exchange Commission. He serves as Guest Associate Editor for Management Science and has co-chaired Review of Financial Studies conferences on FinTech and Machine Learning. His educational initiatives include a widely adopted free AI textbook for finance and accounting that has been implemented at universities worldwide including Indiana University, UT Dallas, and University of Minnesota. As Director of the AI Initiative for Capital Market Research, Dr. Cao leads a multidisciplinary team exploring practical AI applications in finance. The initiative has secured significant funding including a $150,000 grant from GRF CPAs & Advisors. His research group maintains strong industry connections through partnerships with regulatory bodies, financial institutions, and technology companies, facilitating the translation of academic research into practical financial applications.

Alexander Stroh-Steckelbergمشاهده پروفایل

استاد

• Comparative Democracy Research
• African Politics
• Judicial Politics
• +۵ مورد دیگر

Prof. Dr. Alexander Stroh-Steckelberg is Professor of Political Science with a focus on African Politics & Development Policy at the University of Bayreuth since 2022. He serves as Deputy Head of the Bayreuth International Graduate School of African Studies (BIGSAS) until 2025 and has held prior roles as Junior Professor and Senior Fellow at BIGSAS (2015–2021). His academic career includes research associate positions at the GIGA German Institute of Global and Area Studies (2006–2015) and teaching roles at the Universities of Abomey-Calavi, Heidelberg, and Lüneburg. Stroh-Steckelberg’s research spans comparative democracy studies , judicial politics , electoral systems , political party dynamics , and development policy in Africa, with regional expertise in Francophone West Africa and Rwanda . His work emphasizes institutional diffusion, informal networks in courts, and the interplay between formal and informal governance structures. Recent publications reveal a focus on judicial appointment policies , electoral manipulation , and local governance challenges across Africa. He contributes to methodological advancements in comparative area studies and network analysis , particularly in non-Western democracies. Stroh-Steckelberg is actively involved in academic communities including the American Political Science Association , German Political Science Association , and Association for African Studies in Germany .

• Constitutional Law
• Statutory Interpretation
• Human Rights Law
• +۲ مورد دیگر

Professor Dan Meagher is a Chair in Law at Deakin University's Faculty of Business and Law, where he leads research in constitutional law and statutory interpretation. He serves as Director of Research at Deakin Law School and actively contributes to legal scholarship through publications, editorial work, and supervision of doctoral candidates. Doctor of Philosophy, University of New South Wales Master of Laws, Monash University Bachelor of Economics, Monash University Bachelor of Laws (LLB), Monash University His research focuses on constitutional law, statutory interpretation, and human rights protections. He explores the principle of legality, responsible government norms, and the interplay between common law and statutory frameworks, often advocating for enhanced rights protections through judicial interpretation. Professor Meagher's scholarly output highlights trends in Australian constitutionalism, including proportionality in secondary legislation, non-discrimination principles, and the evolution of common law rights. His work bridges doctrinal analysis with practical implications for legislative drafting and judicial review. Elected Fellow of the Australian Academy of Law Comments Editor for the Public Law Review Director of Research at Deakin Law School He supervises doctoral research on topics like human rights protection and legislative drafting models. His professional activities include co-editing major legal texts and contributing to debates on constitutional evolution and judicial interpretation.

Panos Ipeirotisمشاهده پروفایل

استاد

• Crowdsourcing
• Machine Learning
• Human-AI Collaboration
• +۷ مورد دیگر

Panos Ipeirotis is a Professor at the Leonard N. Stern School of Business at New York University, affiliated with the Department of Technology, Operations, and Statistics. He also serves as the George A. Kellner Faculty Fellow and is associated with the Center for Data Science and Computer Science departments at NYU. PhD in Computer Science (Columbia University, 2004) MSc in Computer Science (Columbia University, 2001) BSc in Computer Engineering & Informatics (University of Patras, 1999) His research spans crowdsourcing, machine learning, human-AI collaboration, online labor markets, and social media analytics. He pioneered human-machine loop systems that combine human and machine intelligence to achieve superior outcomes. His work has applications in data quality assurance, visual media search (e.g., Google Project Glass), and economic valuation of user-generated content. Recent publications focus on algorithmic fairness in hiring systems, occupational segregation analysis, and theoretical advancements in crowdsourcing consensus mechanisms. Earlier work includes foundational studies on data quality in crowdsourcing platforms, economic impacts of product reviews, and query optimization for text-centric tasks. 2015 Lagrange Prize in Complex Systems NSF CAREER Award SIGKDD Test of Time Award (2020) Multiple Best Paper awards (WWW 2011, KDD 2008, SIGMOD 2006) He has received significant grants, including a $1.5 million Google Research Grant (2013) for integrating crowdsourcing with machine learning algorithms. His work bridges computer science, economics, and social psychology, with implications for policy-making and business strategy.

Celestine Mendler-Dünnerمشاهده پروفایل

استاد

• Machine Learning in Social Context
• Algorithmic Collective Action
• Performative Prediction
• +۶ مورد دیگر

Celestine Mendler-Dünner is a Principal Investigator at the ELLIS Institute in Tübingen, co-affiliated with the Max Planck Institute for Intelligent Systems and the Tübingen AI Center. She leads the Algorithms and Society research group, focusing on machine learning in social contexts and the role of prediction in digital economies. Her work bridges theoretical machine learning with practical societal impact, developing tools for safe, reliable, and equitable AI ecosystems. Her educational background includes a PhD from ETH Zurich in collaboration with IBM Research, followed by an SNSF postdoctoral fellowship at UC Berkeley hosted by Moritz Hardt. She was previously a group leader at the Max Planck Institute for Intelligent Systems before joining the ELLIS Institute. Mendler-Dünner's research spans several interconnected themes including performative prediction (where predictions change the behavior they aim to predict), algorithmic collective action (how participants can steer AI systems toward common goals), and the role of LLMs in social science research. Her work combines theoretical foundations with practical implementations, addressing challenges in interactive machine learning, optimization in dynamic environments, and context-specific evaluation of AI systems. She particularly examines how algorithmic predictions mediate services and platforms at societal scale, exploring concepts of economic power in digital markets. Her publication record shows a clear evolution from system-aware machine learning algorithms (including foundational work on IBM Snap ML) toward increasingly sociotechnical questions at the intersection of machine learning, economics, and policy. Recent work focuses on measuring performative power in digital economies, evaluating LLMs as risk scores, and developing frameworks for algorithmic collective action in recommender systems and labor markets. Among her notable recognitions are the ETH Medal for her dissertation, the IBM Research Division Award, the Fritz Kutter Award, and the IBM Eminence and Excellence Award. She is an ELLIS Scholar, a fellow of the Elisabeth-Schiemann-Kolleg, and affiliated with several prestigious research programs including the International Max Planck Research School for Intelligent Systems and the Max Planck ETH Center for Learning Systems. ETH Medal (dissertation award) IBM Research Division Award Fritz Kutter Award IBM Eminence and Excellence Award SNSF Early Postdoc Mobility Fellowship Mendler-Dünner actively mentors the next generation of researchers, advising PhD student Patrik Wolf and supervising research interns including Joachim Baumann, Haiqing Zhu, and Anna Badalyan, as well as Master's student Dorothee Sigg. She serves as core faculty for the International Max Planck Research School and associated faculty for the Max Planck ETH Center for Learning Systems. Her group has secured significant research funding through fellowships and institutional support, enabling work on projects like Powermeter (measuring search engine influence) and Snap ML (resource-efficient machine learning library with over 1 million PyPI downloads). She leads the Algorithms and Society research group, which examines machine learning as part of broader sociotechnical ecosystems. The group explores human-population interactions with algorithmic systems and incorporates these insights into learning system fundamentals. Current projects include investigating economic incentives in digital platforms, developing tools for systematic LLM evaluation in social science contexts, and creating frameworks for collective action in algorithmic systems. Mendler-Dünner also co-organizes the Algorithmic Collective Action workshop at NeurIPS 2025, demonstrating her leadership in emerging research directions at the AI-society interface.

David M. Dodsonمشاهده پروفایل

مدرس

• Entrepreneurship
• Business Management
• Entrepreneurial Acquisition
• +۳ مورد دیگر

David M. Dodson is a Lecturer in Management at Stanford University’s Graduate School of Business (GSB), where he teaches courses on managing growing enterprises and entrepreneurial acquisition. His career spans over 30 years in business management, including founding three search funds and serving as CEO of a technology manufacturer and Executive Chairman of a telecommunications firm. He co-founded Sanku (formerly Project Healthy Children), a nonprofit addressing micronutrient deficiencies in Africa through fortified grains, recognized for its life-saving impact. Dodson holds an MBA from Stanford GSB (1987) and a BA in Economics from Stanford University (1983). His research focuses on entrepreneurial acquisition strategies and managing small-to-medium enterprises. Notable awards include the MSx Teaching Excellence Award (2023, 2021) and recognition as a top lecturer by Stanford GSB students. Beyond academia, he invests in over 40 businesses and serves on 21 corporate boards. In 2020, he founded StudentVotes.org to empower student voting during the pandemic. His media contributions include columns for The Boston Globe and frequent TV commentary on CNBC and Fox Business.

Dean Ecklesمشاهده پروفایل

دانشیار

• Social Influence
• Network Analysis
• Causal Inference
• +۴ مورد دیگر

Dean Eckles is an Associate Professor of Marketing at MIT Sloan School of Management and serves as an Associate Director of the MIT Institute for Data, Systems, and Society (IDSS). He is also affiliated with the MIT Schwarzman College of Computing through the Institute for Data, Systems & Society and its Statistics and Data Science Center. Additionally, he leads the analytics research area at the Initiative on the Digital Economy and organizes the annual Conference on Digital Experimentation (CODE@MIT). His educational background includes a BA in philosophy, BS and MS in cognitive science, MS in statistics, and PhD in communication, all from Stanford University. Prior to joining MIT, Eckles worked as a scientist at Facebook, where he contributed to areas including News Feed, messaging, advertising, tools for randomized experiments, and survey methods. He previously held research positions at Nokia and Yahoo. Eckles's research primarily focuses on social influence mediated by interactive technologies, examining how communication technologies mediate, amplify, and direct social influence. His work spans multiple specific areas including social interactions, contagion, and interventions in networks; experimental design and inference in networks; and methods for causal inference. His research often combines social science with advanced statistical methods. His notable publications include research on long ties in social networks and their relationship to economic prosperity, how network structure affects social contagions, and algorithmic transparency in social media platforms. His work has appeared in prestigious journals including PNAS and Nature Human Behaviour, and he has provided expert testimony before the US Senate on algorithmic ranking. Long ties, disruptive life events and economic prosperity (PNAS) Long ties accelerate noisy threshold-based contagions (Nature Human Behaviour) Algorithmic transparency and assessing effects of algorithmic ranking (Senate testimony) Eckles actively shares his research through social media platforms including Bluesky, Twitter, and Mastodon, as well as through his blog and contributions to the Gelman et al. blog. His work bridges academic research with practical applications in technology and policy.

Jonathan N. Katzمشاهده پروفایل

استاد

• Political Methodology
• Statistics
• Political Economy
• +۳ مورد دیگر

Jonathan N. Katz is the Kay Sugahara Professor of Social Sciences and Statistics at the California Institute of Technology (Caltech). He holds a S.B. from MIT (1990), M.A. from UC San Diego (1992), and Ph.D. from UC San Diego (1995). His career includes roles as Assistant Professor (1995-98), Associate Professor (1998-2003), and Professor (2003-11) at Caltech, with subsequent appointments as Sugahara Professor (2012–present), Executive Officer for Social Sciences (2007), and Division Chair (2007–14). His research focuses on statistical methods in social sciences, electoral systems, and public policy. Key affiliations include the Caltech/MIT Voting Technology Project and the Linde Institute of Economic and Management Sciences. Katz is Deputy Editor for Social Sciences at Science Advances and a Fellow of the American Academy of Arts and Sciences (2011) and the Society for Political Methodology (2008). Research interests span political methodology, formal theory, and American politics. Recent work addresses partisan fairness in electoral systems, statistical rigor in political modeling, and institutional dynamics in legislative and judicial contexts. Notable contributions include critiques of electoral college bias and audits of political behavior research methodologies. Awards: Career Achievement Award in Political Methodology (2024), Inaugural Fellow, Society for Political Methodology (2008). Grants/Labs: Caltech/MIT Voting Technology Project, Linde Institute Directorship (2013–14).

Daniela Iorioمشاهده پروفایل

دانشیار

• Political Economy
• Health Economics
• Public Economics
• +۵ مورد دیگر

Daniela Iorio is an Associate Professor at the Department of Economics, University of Bologna, and holds a part-time professorship at the European University Institute’s School of Transnational Governance. She specializes in Political Economy, Health Economics, and Public Economics. Her work addresses topics like voting behavior, eating disorders, reproductive health, and parental investments. She earned a Ph.D. in Economics from the University of Pennsylvania and has held positions at institutions including USC, Universitat Autònoma de Barcelona, and the Barcelona Graduate School of Economics. Her research focuses on health policy, behavioral economics, and political institutions. Notable contributions include analyzing the link between eating disorders and addictive behaviors, evaluating IVF success disparities, and developing parenting measurement tools through digital interventions. She has been awarded the 2016 Oliver E. Williamson Prize and the Rita Levi Montalcini grant. Iorio teaches advanced courses on political economy and health economics at the PhD and master’s levels. She directs the Health Economics, Management and Policy master’s program at Bologna and has advised over a dozen graduate students. Her grants include a €758k MIUR project on child development and parental engagement. She serves as an Associate Editor for the European Economic Review and referees for top journals like the American Economic Review .

Todd Sorensenمشاهده پروفایل

عضو هیئت علمی

• Labor Market Structure
• Immigration
• Discrimination

Todd Sorensen is an Associate Teaching Professor at the University of California, Merced (UC Merced), affiliated with the School of Social Sciences, Humanities & Arts and the Economics and Business Management department. He holds fellowships at IZA (Institute of Labor Economics) and GLO (Global Labor Organization). Prior to UC Merced, he served as an Associate Professor at the University of Nevada, Reno (2014–2023) and an Assistant Professor at UC Riverside (2007–2014). His professional journey includes a visiting role as Visiting Associate Professor at UC Merced before his current appointment in 2022. Education: PhD in Economics, University of Arizona, 2007 Research Interests: Todd's work focuses on labor market structures , exploring topics like monopsony power and wage-setting dynamics; immigration , including its demographic and policy implications; and discrimination , particularly in criminal sentencing and labor markets. His research has been published in journals like ILR Review , Labour Economics , and the Journal of Population Economics , with findings cited in the U.S. Economic Report of the President. Scientific Awards: Fellow at IZA (2022–present) Fellow at GLO (2022–present) Advising & Grants: Todd has advised students across various levels but no specific advisees are listed. His grants and funding sources are not detailed in the provided text. He collaborates with interdisciplinary teams and maintains affiliations across UC campuses through his and his spouse’s academic careers. Labs/Teams: Engaged with research networks at IZA and GLO, focusing on labor market policies and migration studies. Active in collaborative projects analyzing immigration trends, labor market competition, and discrimination metrics.

Max Kwiekمشاهده پروفایل

دانشیار

• Applied Microeconomic Theory
• Political Economy
• Committee Design
• +۴ مورد دیگر

Dr. Max Kwiek is an Associate Professor in the Department of Economics at the University of Southampton and serves as Deputy Head of School (Education). His research focuses on applied microeconomic theory, political economy, committee design, and auctions. He teaches microeconomics modules, including principles, game theory, and advanced topics. His research interests include voting systems, game theory applications, and experimental economics. Key projects involve analyzing voting mechanisms, intermediary communication, and conclave dynamics. He has supervised PhD student Yanchi Zhang and led a project funded by the British Academy on experimental investigations of conclaves. Externally, he is a committee member of the Virtual Seminars in Economic Theory and Poleconuk Webinars. His work bridges theoretical models with real-world applications in political and economic decision-making processes.

Rahul Mukherjiمشاهده پروفایل

استاد

• Indian Politics
• Political Economy
• International Relations
• +۳ مورد دیگر

Rahul Mukherji is a Professor at the Department of Political Science, South Asia Institute, Heidelberg University. He has held visiting positions at institutions including the University of Goa, Tata Institute of Social Sciences, and Fudan University. His research spans Indian politics, political economy, international relations, and climate policy. Education: PhD in Political Science, Columbia University (1999) M.Phil and MA in South Asian Studies, Jawaharlal Nehru University (1992, 1990) Bachelor in Economics (Honours), Delhi University (1988) Mukherji examines democratic backsliding , climate governance , and political economy of reforms in India. His recent work explores the intersection of COVID-19 and authoritarian trends , alongside state capacity in welfare delivery. Scientific Awards NUS Award for Research Excellence (2014, 2012) President’s Fellow, Columbia University (1997-1999) Ambedkar Overseas Fellow in International Relations (1993-1996) Mukherji serves on the editorial boards of journals like India Review , Pacific Affairs , and Governance . He is series editor for Oxford Institutions and Development in South Asia and editor of Indian Politics and Policy .

• Behavioral Economics
• Decision Theory
• Game Theory
• +۸ مورد دیگر

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).