جستجوی استاد راهنمای دانشگاهی

Paul Gölzمشاهده پروفایل

استادیار

• Social Choice Theory
• Algorithmic Fairness
• AI Ethics
• +۳ مورد دیگر

Paul Gölz is an Assistant Professor at Cornell University's School of Operations Research and Information Engineering (ORIE), with affiliations in Computer Science. His research focuses on computational social choice, algorithmic fairness, and AI ethics, addressing topics like democratic innovation, fair resource allocation, and AI systems for diverse users. Education: Undergraduate studies at Saarland University (Germany), PhD in Computer Science from Carnegie Mellon University, followed by postdoctoral research at Harvard University, UC Berkeley, and the Simons Laufer Mathematical Sciences Institute. His work has been recognized with awards including the JPMorgan Chase AI Research Fellowship (2021) and honorable mentions for prestigious dissertation awards (Dantzig and ACM SIGecom). Research Highlights : Developed Panelot, a tool for selecting citizens' assemblies using state-of-the-art algorithms. His work on fair refugee resettlement and apportionment methods has been featured in Operations Research and Nature . Recent projects include AI alignment distortion analysis and generative social choice mechanisms. Teaching : Teaches Optimized Democracy (Spring 2025) and Mathematical Programming (Fall 2024). Supervises PhD students in ORIE, focusing on interdisciplinary applications of optimization and social choice. Awards & Grants : Received a $40K Structural Democracy Fellowship (Crankstart) and an OpenAI grant for Democratic Inputs to AI. Active in policy briefs (e.g., mini-public selection strategies). Labs/Tools : Co-developed Panelot.org , a nonprofit platform for fair citizen assembly selection. Active in open-source tool development for social choice applications.

• Algorithmic Game Theory
• Computational Social Choice
• Fair Division
• +۴ مورد دیگر

Warut Suksompong is an Assistant Professor in the School of Computing at the National University of Singapore (NUS), where he holds the NUS Presidential Young Professorship. Previously, he was a postdoctoral researcher at the University of Oxford, hosted by Edith Elkind, and completed his PhD at Stanford University under Tim Roughgarden. He holds bachelor's and master's degrees from MIT. His research focuses on algorithmic game theory, computational social choice, mechanism design, and interdisciplinary problems at the intersection of computer science, economics, mathematics, and operations research. He is particularly known for contributions to fair division, including envy-freeness, proportionality, and maximin fairness in both divisible and indivisible resource allocation contexts. Key awards include the IJCAI 2021 Distinguished Paper Award for work on dividing land with geometric constraints and the WINE 2021 Best Student Paper Award for research on funding public projects via the Nash product rule. His work bridges theoretical foundations with practical applications, addressing challenges such as connectivity constraints, budget allocation, and social choice mechanisms. He has authored over 100 publications in top conferences and journals, including SIAM Journal on Discrete Mathematics, Artificial Intelligence, and Games and Economic Behavior. His research has been supported by grants from NUS and international collaborations.

• Artificial Intelligence
• Computational Social Choice
• Computational Complexity
• +۵ مورد دیگر

Edith Hemaspaandra is a Professor in the Department of Computer Science at the Rochester Institute of Technology (RIT), located in the Golisano College of Computing and Information Sciences. She holds a BS, MS, and Ph.D. in Computer Science from the University of Amsterdam (the Netherlands). Her research focuses on computational social choice, computational complexity theory, logic complexity, and formal methods. She teaches courses such as CSCI-262/263 (Introduction to Computer Science Theory) and CSCI-664 (Computational Complexity). Her work explores the algorithmic aspects of voting systems, including election manipulation, control, and bribery, with a focus on their computational complexity. She has also contributed to formal methods for automata theory, educational tools like JFLAP extensions, and the study of complexity classes such as LWPP and WPP. Her research bridges theoretical computer science with practical applications in social choice theory and algorithm design. Her grants include an NSF-funded project on computationally protecting elections from manipulation (2011). She actively publishes in top venues like STACS and ISAAC, addressing topics ranging from graph reconstruction to hybrid election models. Though no awards are explicitly listed, her extensive publication record highlights her contributions to theoretical computer science. Her advising and grant activities include collaborative research projects and educational tool development. She is affiliated with RIT’s Department of Computer Science and maintains a personal website and ORCID profile.

Anna Weissmanمشاهده پروفایل

پژوهشگر ارشد

• Political Representation
• Local Political Economy
• Political Geography
• +۳ مورد دیگر

Anna Weissman is a Political Scientist completing her PhD at the University of California, Berkeley in 2025. She will join the Center for the Study of Democratic Politics at Princeton University as a Postdoctoral Fellow starting September 2025. Her academic home is within the Department of Political Science in the College of Letters and Science at UC Berkeley. PhD, Political Science, University of California, Berkeley (2025) B.A., Political Science, Philosophy, and German, Tufts University Weissman's research focuses on representation, local political economy, and political geography, with specific attention to who holds power in American local governments and how this drives policymaking. Her work examines municipal officials' embeddedness in their communities and the implications for policy outcomes, particularly relating to land use, with special interest in small-town and rural America. Another significant branch of her research investigates attitudes about descriptive representation at the national level. She employs diverse methodological approaches including causal inference designs for observational data, text analysis, and original surveys and survey experiments. Her publication record shows a strong focus on representation and local politics, with articles appearing in top political science journals including the Journal of Politics and the Journal of Political Institutions and Political Economy. Her work demonstrates consistent attention to how representation functions across different political contexts and scales. Research Associate, Political Science Department, MIT (prior to graduate school) Weissman has served as a Graduate Student Instructor and Tutor at UC Berkeley for multiple courses including Decision Analysis and Quant Methods, Politics of Public Policy, Introduction to American Politics, and research methods courses. Her teaching experience spans both graduate and undergraduate levels, demonstrating her commitment to political science education. Her research portfolio includes significant work on local government dynamics, representation, and political behavior, with several publications in prestigious journals and multiple works in progress examining the relationship between place-based attachment and political attitudes.

Éric Bélangerمشاهده پروفایل

استاد

• Canadian Politics
• Quebec Politics
• Political Parties and Party Systems
• +۴ مورد دیگر

Éric Bélanger is a Professor in the Department of Political Science at McGill University, specializing in Canadian and Quebec politics. His research focuses on electoral behavior, political parties, nationalism, and public opinion dynamics. He holds a PhD from the Université de Montréal and has published extensively on topics such as generational shifts in Quebec nationalism, party realignment, and municipal voting patterns. His work frequently employs quantitative methods, including advanced econometric modeling for election forecasting. Research interests include: Quebec and Canadian political systems Political party competition and realignment Nationalist movements and identity politics Economic voting and fiscal policy impacts Municipal elections and local governance Comparative studies of electoral systems His recent work highlights innovative approaches to forecasting elections in diverse contexts like France and Latin America, while maintaining a strong focus on Quebec-specific issues such as generational voting patterns and the evolving nationalist landscape. Bélanger’s research often bridges theoretical frameworks with empirical analysis, contributing to both Canadian and comparative political science literatures.

Florian Brandlمشاهده پروفایل

دانشیار

• Microeconomics
• Social Choice Theory
• Decision Theory
• +۴ مورد دیگر

Florian Brandl is an Argelander Professor (associate professor with tenure) at the University of Bonn, holding positions in both the Department of Economics and the Hausdorff Center for Mathematics. Previously, he was a postdoctoral research scholar at Princeton University and Stanford University. His academic career demonstrates a strong foundation in mathematical economics and game theory, with affiliations spanning multiple prestigious institutions. Brandl earned his Doctoral degree in Mathematics (summa cum laude) from the Technical University of Munich in 2018, following a Master's degree (2013) and Bachelor's degree (2011) from the same institution. His doctoral work focused on "Zero-Sum Games in Social Choice and Game Theory" under the supervision of Felix Brandt, establishing the foundation for his research trajectory. Prof. Brandl's research spans microeconomic theory with a focus on social choice theory, decision theory, and game theory. He is particularly interested in decision-making under uncertainty, connections between social choice and game theory, and dynamic processes converging to equilibrium. His work employs mathematical tools to analyze interactions of multiple entities in economic contexts, often incorporating algorithmic approaches and methods from theoretical computer science. He has made significant contributions to fair division, mechanism design, and probabilistic social choice. His publication record shows consistent contributions across multiple subfields, with recent work focusing on patience effects in fair division, social learning barriers, and axiomatic characterizations of equilibrium concepts. Brandl's research demonstrates strong interdisciplinary connections between economics, mathematics, and computer science, with publications in top journals across all three disciplines. Best Student Paper Award at WINE 2021 for "Funding Public Projects: A Case for the Nash Product Rule" Associate Editor for Theoretical Economics Co-organizer of the COMSOC Video Seminar Prof. Brandl actively contributes to academic service and community building. He co-organizes the COMSOC Video Seminar and will host a Trimester Program on "Advances in Mechanism Design" in Bonn in summer 2026. He serves on program committees for major conferences including COMSOC 2023 and EC 2023. His research has been supported through his position as a Bonn Junior Fellow at the Hausdorff Center for Mathematics since 2021. Based at the Institute for Microeconomics and affiliated with the Hausdorff Center for Mathematics, Brandl collaborates with a broad network of researchers across economics and computer science. His work often involves interdisciplinary collaboration, as evidenced by his numerous co-authored publications with researchers from various institutions worldwide. He maintains strong connections with the University of Oxford's Global Priorities Institute as a Research Affiliate.

B. Pablo Montagnesمشاهده پروفایل

دانشیار

• Formal Political Theory
• Political Economy
• Public Policy Analysis
• +۳ مورد دیگر

B. Pablo Montagnes is an Associate Professor of Political Science and Quantitative Theory and Methods at Emory University. He holds a Ph.D. in Managerial Economics and Strategy from the Kellogg School of Management, Northwestern University (2010). Before joining Emory in 2015, he was an Assistant Professor at the Harris School of Public Policy, University of Chicago. His research focuses on formal political theory and political economy, with a particular emphasis on strategic behavior in legislative settings, regulatory policy, and public opinion dynamics. Key topics include partisan approval rates, legislative bargaining, and the design of organizational and market mechanisms. Montagnes has published in leading journals such as the Journal of Politics , American Economic Review , and Proceedings of the National Academy of Sciences (PNAS) . Education: Ph.D. in Managerial Economics and Strategy, Kellogg School of Management, Northwestern University (2010) Previous Affiliation: Harris School of Public Policy, University of Chicago (Assistant Professor) Teaching: QTM 110 (Scientific Methods), QTM 315 (Game Theory) Montagnes’ work addresses questions like how regulatory uncertainty affects firm investment, the strategic implications of sequential voting in legislatures, and the reliability of survey-based partisan approval metrics. His recent projects explore polarization incentives, internal labor markets, and the role of lobbyists in policy gatekeeping. He currently holds an office at 311 Tarbutton Hall, Emory University, and can be contacted via email . No awards are explicitly listed in the provided materials.

Douglas L. Krinerمشاهده پروفایل

استاد

• American Politics
• Political Institutions
• Separation of Powers
• +۳ مورد دیگر

Douglas L. Kriner is the Clinton Rossiter Professor in American Institutions at Cornell University, affiliated with the College of Arts and Sciences and Department of Government. His work bridges American political institutions , separation of powers , and U.S. foreign and health policy . He has authored five influential books, including The Myth of the Imperial Presidency (2020) on public opinion’s constraints on executive power, and Investigating the President (2016) on congressional oversight. His research spans military policymaking , executive particularism , and vaccine trust dynamics , published in top journals like American Political Science Review and New England Journal of Medicine . Email: kriner@cornell.edu Scientific awards include the D.B. Hardeman Prize (2013), Richard F. Fenno Jr. Prize (2017), and Richard E. Neustadt Award (2015). His articles explore congressional investigations , presidential particularism , and pandemic-related health behavior . He teaches courses on American government , presidency , and quantitative methods . Recent work examines emerging technology’s impact on democracy and biofuels policy , with a focus on partisan dynamics and public trust in science .

Samara Klarمشاهده پروفایل

استاد

• Political psychology
• Voter behavior
• Public opinion
• +۳ مورد دیگر

Samara Klar is a Professor at the University of Arizona School of Government and Public Policy and holds the Melody S. Robidoux Fund Professorship. She serves as Co-Coordinator of the Arizona Policy Lab and specializes in political psychology, voter behavior, and public opinion research. Dr. Klar received her PhD in Political Science from Northwestern University with additional degrees from Columbia University and McGill University. Dr. Klar's research focuses on how personal identities and social surroundings influence political attitudes and behavior, employing experimental methods, surveys, and statistical tools. Her award-winning book Independent Politics (co-authored with Yanna Krupnikov) was published by Cambridge University Press in 2016, and she recently co-authored Partisan Hostility and American Democracy (University of Chicago Press, 2024). Her work appears in top journals including Science , Nature Human Behaviour , American Political Science Review , and Journal of Politics . Dr. Klar's research program demonstrates a clear trajectory from studying political independents and identity politics toward contemporary research on partisan polarization, affective polarization, and political behavior during crises. Her most recent work examines cross-border political influences, gender in politics, and the impact of social movements like #MeToo on political evaluations. Philip E. Converse Award Robert E. Lane Award Best Book in Experimental Political Science Scholar of the Year (2025) from University of Arizona's College of Social and Behavioral Sciences Dr. Klar has received research funding from the National Science Foundation, Time-sharing Experiments for the Social Sciences, and the Social Science Research Council. She founded WomenAlsoKnowStuff.com to promote women in political science, which has grown to feature over 2,000 women scholars and inspired similar initiatives globally. She regularly contributes to media outlets including the New York Times , Washington Post , and CNN.com, and provides expert consulting on public opinion and political communication.

• Comparative Corporate Law
• Corporate Governance
• Mergers and Acquisitions
• +۷ مورد دیگر

Afra Afsharipour is the Martin Luther King, Jr. Professor of Law at the University of California, Davis School of Law. She served as Senior Associate Dean for Academic Affairs from 2018 to 2024 and teaches courses in business associations, mergers and acquisitions, startups and venture capital, and antitrust. B.A., Cornell University (magna cum laude, 1996) J.D., Columbia Law School (Harlan Fiske Stone Scholar, 1999) Her research focuses on comparative corporate law, corporate governance, and mergers and acquisitions. Recent work explores ESG integration in dealmaking, gender dynamics in corporate law, and inclusive leadership practices. She has contributed to global discussions on board diversity, risk management, and shareholder rights. Her publications have been featured in top journals like the University of Chicago Law Review and Vanderbilt Law Review , with recognition as a Top Ten Corporate and Securities Article in 2011 and 2023. She has delivered talks in India, China, and Taiwan and serves on editorial boards such as the Asian Journal of Law and Society and the Indian Law Review . Scientific Awards & Honors: Elected member of the American Law Institute (ALI) ECGI Research Member (2023) American Bar Foundation Fellow (2019) AALS Outstanding Mentor Award (2018) Lawyers of Color’s 50 Under 50 list (2014) Prior to academia, she practiced at Davis Polk & Wardwell LLP, focusing on mergers, securities offerings, and corporate governance. She clerked for Judge Rosemary Barkett on the Eleventh Circuit Court of Appeals.

• Algorithmic Game Theory
• Computational Social Choice
• Artificial Intelligence
• +۳ مورد دیگر

Edith Elkind is a Professor of Computer Science at the University of Oxford and a Non-Tutorial Fellow at Balliol College (leaving October 2024). Her research focuses on algorithmic game theory and computational social choice. She joined Oxford in 2013 after roles at Nanyang Technological University (Singapore), Princeton University (PhD 2005), and postdoctoral positions at the University of Warwick, University of Liverpool, Hebrew University of Jerusalem, and University of Southampton. Her work addresses voting systems, cooperative games, and complexity analysis. Key contributions include studies on multiwinner elections, justified representation, and coalition formation. She has advised six PhD/Master’s students and authored/co-authored over 30 publications. Notable works include Properties of multiwinner voting rules (2017) and Justified representation in approval-based committee voting (2017), advancing fairness and efficiency in voting mechanisms. Her research spans theoretical computer science and AI, with applications in social choice theory and game dynamics. Collaborations include projects on foundational AI and computational social choice. She has contributed to foundational texts like Computational Aspects of Cooperative Game Theory (2011).

• Computational Social Choice
• Algorithmic Game Theory
• Fairness in Machine Learning
• +۳ مورد دیگر

Anson Kahng is an Assistant Professor in the Department of Computer Science and the Goergen Institute of Data Science at the University of Rochester. He previously held postdoctoral positions at the University of Toronto and completed his PhD at Carnegie Mellon University under the supervision of Ariel Procaccia, focusing on computational social choice. PhD, Computer Science, Carnegie Mellon University Undergraduate degree, Computer Science, Harvard College His research explores the intersection of computer science and democracy, developing frameworks like virtual democracy and liquid democracy while analyzing fairness in participatory budgeting and voting systems. He combines theoretical analysis with empirical methods, emphasizing interdisciplinary collaboration. Recent work includes advancements in ranked choice voting optimization, fairness metrics for elections, and structural analysis in cryo-electron tomography. He has published in top venues such as IJCAI, AAAI, NeurIPS, and ACM Transactions on Economics and Computation. NeurIPS 2019 Spotlight Presentation (top 2.5% of submissions) Kahng advises PhD students Alina Chadwick and Joe Saber, and has mentored multiple undergraduate researchers. He teaches courses on algorithmic game theory and computational statistics at the University of Rochester.

Paul Moritz Wiegmannمشاهده پروفایل

استادیار

• Standardization
• Innovation Ecosystems
• Sustainable Development
• +۳ مورد دیگر

Paul Moritz Wiegmann is an Assistant Professor in the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e), where he is part of the ITEM group. He currently serves as President of the European Academy of Standardisation (EURAS). His academic career includes visiting research positions at TU Berlin (2014 & 2015), Yonsei University, Seoul (2018), and the University of California, Davis (2023). Paul holds a PhD from Rotterdam School of Management, Erasmus University, alongside additional degrees from Erasmus University and the University of Warwick. His educational background emphasizes interdisciplinary training, reflected in his research and teaching. His research focuses on the role of standardization in innovation ecosystems, particularly how explicit and implicit rules enable value creation and capture. He employs mixed-methods approaches, including case studies, grounded theory, choice experiments, and conjoint analysis. His work aligns with UN Sustainable Development Goals, addressing societal challenges like sustainability and smart technologies through collaborative frameworks. Notable awards include the Industria Education Award 2022-2023 for Best Teacher Talent (2023) and the ISPIM Dissertation Award 2020 (2020). These recognize his contributions to both education and research in standardization and innovation. In advising and grants, Paul has supervised 30 works (names not listed) and leads the Measuring societal impact of standards project (2021–2022). He also coordinates the FIQCS: FIeldlab Quantum Cryptography Solutions for Safe Society initiative (2023–2028). His activities include organizing conferences like EU-SPRI 2025 and delivering invited talks on topics ranging from standardization governance to quantum technologies. Paul teaches courses such as Methodology for IE research and Patents design rights & standards exploration course , reflecting his expertise in standardization and research methods. He contributed to the Standardization literature database (2024), an interdisciplinary review, and engages in media discussions on topics like AI adoption in SMEs and quantum threat mitigation in public safety.

Steven Bramsمشاهده پروفایل

استاد

• Game Theory
• Social Choice Theory
• Fair Division
• +۶ مورد دیگر

Steven Brams is a Professor of Politics at New York University's Department of Politics within the College of Arts & Science. His research focuses on game theory, social choice theory, fair division, voting systems, and international politics. He holds a B.S. from MIT (1962) and a Ph.D. from Northwestern University (1966). Brams' work emphasizes fair allocation mechanisms, including envy-free division algorithms, voting system reforms, and rule design in sports and conflict resolution. He has collaborated extensively with researchers like D. Marc Kilgour and Mehmet S. Ismail on topics such as fair shootouts in soccer, equitable chess openings, and gerrymandering solutions. Education: B.S., Massachusetts Institute of Technology, 1962 Ph.D., Northwestern University, 1966 His research explores how game-theoretic models can address real-world problems, such as improving voting systems, resolving disputes, and enhancing fairness in sports. Notable contributions include the 'Catch-Up' rule for service sports and the 'Excess Method' for multiwinner approval voting. Awards: American Association for the Advancement of Science Fellow (1992) Guggenheim Fellow (1986–1987) Russell Sage Foundation Visiting Scholar (1998–1999) Elinor Ostrom Prize (2013) Brams has advised on electoral reforms and contributed to policy discussions on fair division in international conflicts, such as the Spratly Islands dispute. His interdisciplinary work bridges mathematics, political science, and philosophy, addressing both theoretical and applied challenges in decision-making.

• Computer Science
• Economics
• Mathematics
• +۳ مورد دیگر

Assoc Prof Xiaohui Bei is an Associate Professor at Nanyang Technological University (NTU), holding dual appointments in the School of Physical & Mathematical Sciences (Division of Mathematical Sciences) and the College of Computing & Data Science. His research focuses on algorithmic game theory, fair division, auction design, and computational economics. He earned his Ph.D. from Tsinghua University in 2012 under Prof. Andrew Yao and held postdoctoral positions at NTU and the Max Planck Institute for Informatics. His work bridges theoretical computer science and economics, addressing challenges in fair resource allocation, truthful mechanisms, and market design. Key interests include cake-cutting protocols, auction optimization, and voting systems with mixed goods. He has contributed to foundational studies on Nash welfare, submodular valuations, and connectivity constraints in fair division. Prof. Bei’s research is supported by grants exploring topics such as optimal auction mechanisms and dynamic resource allocation. His publications often emphasize practical algorithmic solutions to complex economic challenges, ensuring both efficiency and fairness.