جستجوی استاد راهنمای دانشگاهی

Felipe Csaszarمشاهده پروفایل

استاد

• Strategic Management
• Artificial Intelligence
• Organizational Behavior
• +۳ مورد دیگر

Felipe Csaszar is a Professor of Strategy and Chair of the Strategy Department at the University of Michigan's Ross School of Business. His research focuses on decision structures' impact on innovation, financial performance, and social outcomes, with particular attention to cognitive frameworks, organizational processes, and AI's role in decision-making. He holds a PhD and MA from the Wharton School, University of Pennsylvania. Education: PhD in Strategy, University of Pennsylvania (2009) MA in Strategy, University of Pennsylvania (2007) Research Interests: Strategic decision-making under AI integration Cognitive and structural drivers of innovation Organizational decision processes and design Formal modeling and empirical strategy research Editorial Roles: Senior Editor, Strategy Science and Management Science Former Editor, Organization Science Co-editor, Handbook of AI and Strategy Professional Experience: Prior role: Assistant Professor at INSEAD Previous career: CEO of an internet startup and Head of Research at an asset management firm Labs/Teams: Leading the Strategy Science division at INFORMS Co-chair of the SMS Behavioral Strategy division

Jan G. Voelkelمشاهده پروفایل

استادیار

• Political Change
• Behavioral Change
• Metascience (Research on Research Methods)
• +۷ مورد دیگر

Jan G. Voelkel is an Assistant Professor at the Jeb E. Brooks School of Public Policy and the Department of Sociology at Cornell University. His research explores how micro-level preferences for equality and unity translate into macro-level political decisions, focusing on democratic attitudes, partisan dynamics, and moral framing. Ph.D. and M.A. in Sociology, Stanford University M.S. in Social and Behavioral Sciences, Tilburg University B.S. in Social Sciences, University of Cologne Voelkel’s work spans political psychology, metascience, and social policy, with a focus on interventions to reduce anti-democratic attitudes, partisan animosity, and gender bias in political leadership. His recent articles emphasize large-scale collaborations, reproducibility, and cross-partisan empathy. Scientific awards include: New Investigator Award (Behavioral Science & Policy Association) Public Sociology Award (American Sociological Association) Open Science Innovator Award (Stanford) Centennial Teaching Assistant Award (Stanford)

Nicholas Matteiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Data Science
• Decision Making
• +۳ مورد دیگر

Nicholas Mattei is an Associate Professor of Computer Science at Tulane University and Co-Director of the Tulane Center for Community Engaged AI. He holds a Ph.D. from the University of Kentucky (2012) and researches artificial intelligence, machine learning, and decision-making systems. His work combines theory, data, and experiments to develop algorithms supporting individual and group decision-making. Dr. Mattei's research spans AI ethics, fairness in algorithms, computational social choice, and preference learning. He has published over 100 academic articles and received multiple grants from organizations including Google, IBM, and the National Science Foundation, including a 2024 NSF CAREER Award. He co-authored 'Computing and Technology Ethics: Engaging Through Science Fiction' from MIT Press. Prior to joining Tulane, he held research positions at IBM Research, Data61/CSIRO, and NASA Ames Research Center. His teaching portfolio includes courses on Discrete Mathematics, Data Science, Artificial Intelligence, and Multi-agent Systems.

Christian Listمشاهده پروفایل

استاد

• Decision-making
• Individual and collective choice
• Preference and judgment aggregation
• +۹ مورد دیگر

Christian List is Professor of Philosophy and Decision Theory at Ludwig Maximilian University of Munich, where he serves as Co-Director of the Munich Center for Mathematical Philosophy (MCMP). Previously, he was Professor of Philosophy and Political Science at the London School of Economics until 2020. His work bridges philosophy, economics, and political science with a particular focus on individual and collective decision-making and the nature of intentional agency. Professor List's research spans multiple interconnected domains: theories of individual and collective choice (particularly social choice theory and judgment aggregation), free will and consciousness, the philosophy of mind and action, and the foundations of the social sciences. His work on group agency, developed in his influential book Group Agency with Philip Pettit, has reshaped debates about corporate entities and collective intentionality. His more recent work on free will, culminating in his book Why Free Will is Real , presents a scientifically grounded defense of free will against reductionist skepticism. His recent publications reveal a sophisticated integration of formal methods with deep philosophical questions, particularly regarding consciousness, probability aggregation, and the relationship between different levels of explanation. List's work consistently demonstrates how mathematical precision can illuminate fundamental philosophical problems while maintaining relevance to broader social and scientific contexts. Scientific Awards and Recognition: Elected Fellow of the British Academy (2014) Member of Academia Europaea (2023) Member of the Bavarian Academy of Sciences and Humanities (2022) Joseph B. Gittler Award from the American Philosophical Association (2020) Philip Leverhulme Prize in Philosophy (2007) 5th Social Choice and Welfare Prize (2010) List has supervised numerous PhD students and early-career researchers, many of whom have gone on to prominent positions in philosophy and related fields. His collaborative work with Franz Dietrich on judgment aggregation has been particularly influential. As Co-Director of the Munich Center for Mathematical Philosophy, he has secured substantial research funding and established MCMP as a leading international hub for formal and mathematical approaches to philosophical problems. Through the Munich Center for Mathematical Philosophy, List leads a vibrant research community that brings together philosophers, economists, political scientists, and mathematicians to tackle foundational questions using rigorous formal methods. The center hosts regular workshops, seminars, and visiting scholars, creating a dynamic intellectual environment that bridges disciplinary boundaries.

• British Politics
• Legislative Politics
• Political Economy
• +۲ مورد دیگر

Professor Nick Vivyan is a Professor in Political Science at Durham University's School of Government and International Affairs, where he joined as Lecturer in Quantitative Social Research in 2010 and was promoted to Professor of Politics in 2018. He serves as Fellow of the Durham Research Methods Centre and Professor at the Centre for Institutions and Political Behaviour. Education: PhD in Political Science, London School of Economics (2010) Visiting Researcher, Stanford University (2008) Vivyan specializes in quantitative and experimental analysis of political behaviour, accountability, and representation with UK focus. His research bridges British politics, legislative studies, political economy, public opinion, and electoral systems through rigorous methodological innovation. He particularly examines voter-MP relationships, electoral dynamics, and methodological challenges in survey research. His recent publications reveal consistent focus on electoral behaviour measurement (turnout misreporting, constituency opinion estimation), legislative accountability mechanisms, and cross-national polarization trends. Methodologically, he pioneers experimental designs and survey innovations while maintaining historical and comparative perspectives. Supervision & Grants: PhD supervision in British/comparative politics, electoral behaviour, and legislative politics (e.g., Elisabeth de Vega Alavedra) Principal investigator on ESRC, British Academy, and Leverhulme Trust grants including £504k ESRC/AHRC project on electoral violence (1832-1914) Co-investigator on international projects funded by Austrian National Bank and European research councils As founding member of Durham's Centre for Institutions and Political Behaviour, Vivyan contributes to interdisciplinary research on political institutions and citizen behaviour while serving on the Editorial Board of Electoral Studies .

Richard Bradleyمشاهده پروفایل

استاد

• Decision Theory
• Formal Epistemology
• Philosophy of Probability
• +۴ مورد دیگر

Richard Bradley is Professor of Philosophy at the London School of Economics , focusing on decision theory, formal epistemology, and philosophy of science. His work bridges rational decision-making under uncertainty, conditional reasoning, and policy implications of probabilistic models. Key affiliations: London School of Economics, Department of Philosophy, Logic and Scientific Method Education: University of Witwatersrand (undergraduate), LSE (MSc), University of Chicago (PhD) Research covers: Decision theory with human-centric uncertainty models Formal epistemology of conditionals and belief revision Philosophy of climate change and pandemic policy decisions Bayesian utilitarianism and social choice theory His 2017 book Decision Theory with a Human Face integrates these themes. Scientific contributions include: 15+ peer-reviewed articles on conditionals, uncertainty, and social ethics Collaborations with H. Orri Stefánsson on risk attitudes Work with Roman Frigg on model ensemble decision-making Philosophy of Climate Science in IPCC assessments Major projects address confidence trade-offs in climate science and pandemic policy frameworks.

Katie Steeleمشاهده پروفایل

استاد

• Rational Choice and Inference
• Ethics and Risk
• Climate-Change Policy
• +۴ مورد دیگر

Katie Steele is a Professor in the School of Philosophy at the Australian National University (ANU), where she holds an ANU Futures Scheme grant. She previously served at the London School of Economics (2008–2016) and conducted postdoctoral research at the University of Sydney's Australian Centre of Excellence for Risk Analysis. Her roles include co-editing Economics & Philosophy and co-investigator on major grants like the 'Ethics and Risk' ARC Discovery Project and the 'Climate Change and Future Generations' grant. Education: BSc in Mathematics, University of Queensland (1999) MA in Philosophy, University of Queensland (2003) PhD in Philosophy, University of Sydney (2007) Research Interests: Her work focuses on rational choice theory, ethics of climate policy, intergenerational fairness, and moral uncertainty. She explores decision-making under risk, the implications of climate change for future generations, and the philosophical foundations of belief revision and Bayesian reasoning. Grants & Advising: She leads the ANU Futures Scheme grant (2018–2025) and advises on projects addressing ethics in risk analysis. Her advisory work includes mentoring students in decision theory and climate ethics. Labs/Teams: Active in interdisciplinary collaborations at ANU and international institutions like the Institute for Futures Studies in Stockholm.

Francisco Chiclanaمشاهده پروفایل

استاد

• Fuzzy preference modelling
• Decision making with heterogeneous fuzzy information
• Decision support systems
• +۷ مورد دیگر

Professor Francisco Chiclana is a leading academic in Computational Intelligence and Decision Making at the School of Computer Science and Informatics, De Montfort University (UK). As founder of DIGITS (De Montfort University Interdisciplinary Group in Intelligent Transport Systems), he pioneered research in trust-driven decision frameworks and fuzzy systems. PhD and BSc in Mathematics from University of Granada Coordinated DMU's REF 2014 submission in Computer Science and Informatics Co-developed DMU's Doctoral Training Programme in Intelligent Systems His research focuses on fuzzy preference modelling , consensus reaching processes , and social network analysis for decision support systems. Recent work explores AI applications in trust propagation, power-asymmetric conflict resolution, and large-scale group decision frameworks. Key publications include 15+ peer-reviewed articles in journals like IEEE Transactions on Fuzzy Systems and Information Sciences , covering topics from type-2 fuzzy logic to Nash bargaining compensation mechanisms . His Greenfield-Chiclana Collapsing Defuzzifier won third prize at DMU's Creative Thinking Awards 2010. Outstanding PhD Award (University of Granada, 2000) Finalist in DMU-THE OSCAR AWARDS for Research Excellence (2012) As supervisor of 8+ current and completed PhD students, including Sarah Greenfield and Sergio Alonso Burgos, he has shaped next-generation researchers. His £145K EPSRC-funded project (2006-2009) extended fuzzy logic applications in consensus modelling.

Peter Schwardmannمشاهده پروفایل

دانشیار

• Behavioral Economics
• Belief Formation
• Motivated Reasoning
• +۶ مورد دیگر

Peter Schwardmann is an Associate Professor at Carnegie Mellon University's Department of Social and Decision Sciences within the Dietrich College of Humanities and Social Sciences. He previously served as an assistant professor at the University of Munich (LMU) and holds a Ph.D. in Economics from Toulouse School of Economics. Education : Ph.D. in Economics (Toulouse School of Economics), Undergraduate (University of Cape Town) His research focuses on biased belief formation and its implications for market outcomes and communication dynamics. Key areas include: Motivated reasoning in political polarization Mental health stigma and treatment demand Consumer misperceptions about carbon emissions Self-deception and strategic overconfidence Gender differences in social networks Recent work explores cross-partisan communication effects, climate policy targeting, and psychological drivers of economic behavior. His experimental methodology combines laboratory and field experiments to test theoretical predictions about belief dynamics. Pioneer Award (BAdW): Recognizing innovative research in behavioral economics As Director of Undergraduate Studies, he leads academic program development while maintaining active collaborations with institutions like the Bavarian Academy of Sciences and European Economic Review researchers. Current projects examine policy implications of biased belief updating in social interactions and consumer decision-making.

Drazen Prelecمشاهده پروفایل

استاد

• Behavioral Economics
• Neuroeconomics
• Decision-Making Psychology
• +۵ مورد دیگر

Drazen Prelec is a Professor of Management Science and Economics at the MIT Sloan School of Management , with appointments in the Department of Economics and Department of Brain and Cognitive Sciences . His work bridges psychology, neuroscience, and economics to study decision-making mechanisms. Education: AB in Applied Mathematics (Harvard College), PhD in Experimental Psychology (Harvard University) Prelec's research focuses on behavioral economics and neuroeconomics , particularly in areas like risky choice, time discounting, self-control, and consumer behavior. He develops normative decision theory while investigating its empirical limitations using behavioral and fMRI methods. Two major projects include: Self-Signaling : Examines non-causal motivation where individuals favor actions diagnostic of favorable outcomes over causal ones Bayesian Truth Serum : Creates scoring systems to reward honest judgments in domains without objective truth criteria His recent publications span topics in crowd wisdom , temporal discounting , and neuroeconomic modeling , with applications to consumer neuroscience, political forecasting, and behavioral ethics. Guggenheim Fellowship Junior Fellow, Harvard Society of Fellows Prelec contributes to understanding how credit card usage activates brain reward centers to increase spending, and explores honesty biases in social interactions. His work integrates computational models with empirical neuroscience to address foundational questions in decision theory.

B. Douglas Bernheimمشاهده پروفایل

استاد

• Behavioral Economics
• Public Economics
• Game Theory
• +۷ مورد دیگر

B. Douglas Bernheim is the Edward Ames Edmonds Professor of Economics at Stanford University's Department of Economics. He serves as the Academic Council Faculty Director of Undergraduate Studies, overseeing academic programs and policies for undergraduate economics students. His research spans behavioral economics, public economics, game theory, and financial economics, with notable contributions to rationalizability in game theory, coalition-proofness, and behavioral welfare economics frameworks. Professor Bernheim has received prestigious recognitions including an honorary doctorate from the University of Zurich and the 2022 Exeter Prize for groundbreaking work in experimental economics. His work often bridges theoretical economics with practical policy implications, particularly in areas like financial education and addictive behaviors. Research Interests: - Behavioral Welfare Economics - Social Motives for Economic Choices - Financial Education Policies - Theories of Collusion and Market Structures His recent publications explore interventionist policies in welfare states, peer influence in financial decisions, and the empirical foundations of decision theories like cumulative prospect theory. Bernheim's work emphasizes rigorous experimental methods and real-world policy applications, reflecting his dual focus on academic theory and societal impact.

Jörg Rotheمشاهده پروفایل

استاد

• Computational Complexity
• Computational Social Choice
• Algorithmic Game Theory
• +۵ مورد دیگر

Prof. Jörg Rothe is a faculty member at the Heinrich-Heine-Universität Düsseldorf, affiliated with the Institut für Informatik (Department of Computer Science) under the Mathematisch-Naturwissenschaftliche Fakultät (Faculty of Mathematics and Natural Sciences). His research focuses on computational complexity, computational social choice, algorithmic game theory, fair division, and cryptology. He has authored or co-authored numerous books and publications in top-tier journals and conferences. Education details not explicitly mentioned in provided texts. Key research areas include voting theory, bribery complexity, coalition formation, and argumentation systems. Rothe's work explores topics like the complexity of control in elections, fair allocation of resources, and stability in hedonic games. His recent publications address challenges in multiagent systems and computational social choice, such as fair division mechanisms and algorithmic solutions for strategic behavior. Despite extensive research contributions, no scientific awards or grants were explicitly listed in the provided materials. His group's work often intersects theoretical computer science with practical applications in AI and decision-making systems.

Vincent Conitzerمشاهده پروفایل

استاد

• Game Theory
• Artificial Intelligence
• Computational Social Choice
• +۷ مورد دیگر

Vincent Conitzer is a Professor in the Computer Science Department at Carnegie Mellon University, with a courtesy appointment in the Department of Philosophy. His research intersects artificial intelligence, game theory, and ethics, focusing on computational social choice, moral decision-making in AI, and mechanism design. Primary Affiliation: Computer Science Department, Carnegie Mellon University Courtesy Appointment: Department of Philosophy, Dietrich College of Humanities and Social Sciences Labs: Affiliated with the Laboratory for Symbolic and Educational Computing His work addresses game theory , ethical AI , and computational epistemology , with publications exploring moral preference elicitation, strategic behavior in automated systems, and the intersection of economics and artificial intelligence. Recent trends in his publications include game theory , AI ethics , mechanism design , and computational social choice , reflecting his focus on aligning AI systems with human values and strategic reasoning. Vincent's research spans both theoretical and applied domains, including bioethics (e.g., kidney allocation decisions), cooperative AI, and the stability of moral preferences in algorithmic systems. He is associated with the Laboratory for Symbolic and Educational Computing and the Center for Formal Epistemology , contributing to interdisciplinary projects at the interface of computer science and philosophy.

Jean Baccelliمشاهده پروفایل

دانشیار

• Philosophy of Economics
• Decision Theory
• Social Choice Theory
• +۳ مورد دیگر

Jean Baccelli is an Associate Professor of Philosophy of Economics at the University of Oxford and a Tutorial Fellow in Philosophy at Jesus College, Oxford. His research focuses on decision theory, social choice theory, and the philosophy of economics, with particular emphasis on axiomatic frameworks, utility theory, and formal methods in philosophical analysis. He holds a PhD from École normale supérieure - Ulm (2016) and has held postdoctoral positions at the Munich Center for Mathematical Philosophy (2016–2021), the Center for the Philosophy of Science at the University of Pittsburgh (2019–2020), and again in Munich (2020–2021). His career includes roles at prestigious institutions, reflecting his expertise in formal philosophy and economic theory. Research interests span foundational issues in decision theory, including the axiomatic foundations of rational choice, risk aversion, interpersonal comparisons, and the application of geometric and mathematical methods to philosophical problems. His work critically examines core assumptions in expected utility theory, social choice mechanisms, and the philosophical underpinnings of economic models. Notable contributions include analyses of the Sure-Thing Principle, geometric pooling in collective belief formation, and state-dependent utility frameworks. His publications engage with both technical formalism and broader philosophical debates, bridging analytic philosophy, economics, and mathematics. Baccelli’s advising and teaching focus on advanced topics in the philosophy of economics and decision theory, mentoring students through Oxford’s tutorial system. His interdisciplinary approach integrates formal methods with conceptual analysis, addressing challenges in welfare economics, epistemic democracy, and the philosophy of social science.

• Artificial Intelligence
• Explainable AI
• Computational Argumentation
• +۳ مورد دیگر

Antonio Rago is a Researcher in the Department of Computing at Imperial College London. He specializes in Explainable Artificial Intelligence (XAI) with a focus on computational argumentation frameworks and their integration with data-driven AI systems. His work bridges symbolic AI and machine learning to enhance transparency and societal benefit in AI applications. Education: PhD in Computing (2019) from Imperial College London, supervised by Prof. Francesca Toni and Dr. Marco Aurisicchio, with an MEng in Automotive Engineering from Loughborough University (2012). Research: Explores explainable AI through argumentation semantics, counterfactual reasoning, and hybrid symbolic-statistical methods. Application domains include e-learning, Formula One race strategy, healthcare, and mechanical engineering. Workshops: Organizer of international workshops like Arg&App 2025 and ArgXAI-25, and co-organizer of previous events at KR, ECAI, and COMMA conferences. Publications: Active in top AI venues (KR, IJCAI, AAAI, AAMAS) with over 25 publications since 2016, emphasizing argumentation-based explanations and robust AI systems. Industry Experience: Former Race Strategy Engineer at Mercedes AMG Petronas F1 Team (2012-2014) and Project Manager at Green Lifting Ltd. (2014-2017).