جستجوی استاد راهنمای دانشگاهی

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.

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

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

Johannes Jaspersen is a Professor of Behavioral Risk Management and Insurance at the Munich School of Management , part of Ludwig Maximilian University of Munich (LMU Munich) . As an applied economist, his research bridges theoretical and experimental economics with applications to insurance, prevention, decision analysis, risk theory, and national security. His work often combines behavioral economics with rigorous empirical and theoretical methodologies. Research Interests: Behavioral Economics, Insurance Demand, Risk Perception, Experimental Methods, Decision Theory, National Security His recent publications focus on probability weighting, moral hazard, flood risk hedging, and behavioral aspects of insurance demand. These studies demonstrate his commitment to understanding how individuals and organizations make decisions under uncertainty. Key trends in his research include: Behavioral biases in insurance choices Impact of liquidity constraints on risk decisions Heuristic thinking in risk management Operational research applications to security Natural experiments in insurance markets Methodological innovations in risk elicitation

• Behavioral Economics
• Insurance
• Risk Management
• +۴ مورد دیگر

Florian Zimmermann is Research Director at IZA and Professor at the University of Bonn. Previously, he served as Professor and Research Director at the briq Institute on Behavior & Inequality (2019–2023). His affiliations include the University of Zurich, University of Mannheim, University of California, Los Angeles (UCLA), University of California, San Diego (UCSD), and Harvard University. Education: PhD in Economics, Bonn Graduate School of Economics (2013) Bachelor/Master in Economics, University of Mannheim and UCLA Research Interests: A leading expert in behavioral and experimental economics, his work focuses on motivated cognition, belief formation, information processing, and their implications for financial markets, labor economics, and social behavior. Key themes include discrimination, climate change denial, trust, and self-assessment mechanisms. Publications: His research appears in top journals like the American Economic Review , Quarterly Journal of Economics , Management Science , and Nature Climate Change , with recurring themes of cognitive biases, decision-making under uncertainty, and market psychology. Editorial Roles: He serves as Associate Editor at the Quarterly Journal of Economics and Journal of the European Economic Association , and is on the editorial board of the Review of Economic Studies .

• Behavioral Economics
• Experimental Economics
• Behavioral Finance
• +۶ مورد دیگر

Valeria Burdea is an Assistant Professor in the Department of Economics at Ludwig Maximillian University (LMU) Munich. Her research focuses on behavioral and experimental economics, particularly the strategic transmission and reception of information. She examines how human behavior and belief dynamics evolve in diverse communication scenarios, including deception, partial verifiability, and conflict resolution. Her work bridges theoretical models with experimental evidence to understand collective decision-making processes and truth-seeking mechanisms in social contexts. Her recent studies explore topics such as deceptive communication strategies, blame attribution in conflicts, and the design of online belief elicitation methods. Her earlier research (2013) also addressed intrinsic motivations behind corruption using experimental frameworks. No scientific awards or grants are explicitly mentioned in the provided texts. She has not listed any advisees or students, and no specific lab affiliations are noted.

• Behavioral Economics
• Experimental Economics
• Strategic Communication
• +۳ مورد دیگر

Johannes Lohse serves as a W1 Professor of Law and Economics at Leuphana University, holding joint appointments at the Institute of Economics and the Methods Center. His academic career includes previous positions as Assistant and later Associate Professor of Economics at the University of Birmingham, where he maintains an affiliation as an Honorary Senior Research Fellow. His educational background features a doctorate from the University of Heidelberg (2015), complemented by a research stay at the Becker-Friedman Institute of the University of Chicago. He completed his undergraduate studies in International Economics at the University of Erlangen-Nuremberg and additional studies at the University of Melbourne. Lohse's research program centers on the intersection of behavioral economics, environmental economics, and applied microeconomics, with particular emphasis on intergenerational public goods provision and the mechanisms influencing private contributions to environmental protection. His methodological approach combines experimental and empirical techniques to investigate how incentives, rules, and social norms shape cooperative behavior in environmental contexts. His scholarly output demonstrates consistent focus on experimental investigations of social preferences, transparency effects in decision-making, and the psychological foundations of cooperative behavior across generations. Recent work increasingly examines policy-relevant applications in climate change mitigation and environmental protection. As Co-Editor of Environmental and Resource Economics , Lohse contributes significantly to his field's scholarly discourse. His research has attracted funding from major institutions including the British Academy, ESRC, AHRC, UKRI, and BMBF, supporting his experimental investigations of environmental decision-making. Current research directions show expansion into policy experimentation frameworks, information processing in collective environmental decision-making, and the behavioral mechanisms underlying intergenerational cooperation for sustainability challenges.

• Behavioral Economics
• Environmental Economics
• Experimental Economics
• +۵ مورد دیگر

Prof. Dr. Frederik Herzberg is a Lecturer in the Department of Mathematics at Saarland University since 2022, holding the formal academic title of Titular Professor (apl. Prof.) from Bielefeld University (2016). His academic journey spans multiple disciplines, with habilitations in both Philosophy (University of Munich, 2017) and Economic Theory (Bielefeld University, 2011), reflecting his interdisciplinary expertise. Herzberg's educational background includes dual doctorates: a DPhil in Mathematics from the University of Oxford (2006) specializing in Mathematical Finance, and a Dr.rer.nat. in Mathematics from the University of Bonn (2005) focusing on Probability Theory. He also holds a Diplom in Mathematics from Bonn (2003) and a Master of Theology from the University of Aberdeen (2018), demonstrating remarkable breadth across quantitative and humanities disciplines. His research interests bridge mathematical finance, nonstandard analysis, social choice theory, and epistemology. Herzberg has developed innovative applications of nonstandard analysis to financial mathematics and has made significant contributions to the theoretical foundations of probabilistic aggregation and social choice. His work often explores the intersection of mathematical rigor and philosophical implications, particularly regarding infinitesimals, decision theory, and collective rationality. Analysis of his recent publications reveals a consistent focus on the mathematical foundations of decision-making under uncertainty, with particular attention to aggregation problems, non-Archimedean probability structures, and the philosophical implications of mathematical models. His work spans both theoretical developments in stochastic calculus and practical applications in financial economics. Shortlisted for permanent professorships at the University of Würzburg (Institute of Mathematics, 2009) and other universities Research fellowships from prestigious organizations including the John Templeton Foundation, Alexander von Humboldt Foundation, and German Research Foundation Extensive service as reviewer for major funding bodies including the European Research Council and Austrian Academy of Sciences Herzberg has supervised doctoral students including Geghard Bedrosian (2012-2015) and Tolulope Fadina (2011-2015), and maintains active research collaborations across Europe and North America. His academic service includes editorial work, conference organization, and membership on Bielefeld University's Ethics Committee (2014-2022).

• Mathematical Finance
• Probability Theory
• Nonstandard Analysis
• +۶ مورد دیگر

Arthur Paul Pedersen is a Professor at The City University of New York (CUNY) and a Senior Researcher at the Center for Adaptive Rationality at the Max Planck Institute for Human Development. He holds a Ph.D. in Logic, Computation, and Methodology from Carnegie Mellon University and dual B.A. degrees in Mathematics and Philosophy from the University of Wisconsin-Madison. Institutions: CUNY Graduate Center, Max Planck Institute for Human Development, LMU Munich Fields: Decision Theory, Game Theory, Probability Theory, Formal Epistemology, Artificial Intelligence His research focuses on judgment and decision-making under uncertainty, integrating perspectives from mathematics, economics, computer science, and philosophy. He specializes in non-Archimedean probability, lexicographic utility representations, and formal epistemology. Pedersen explores how qualitative coherence criteria can underpin quantitative models without assuming completeness or transitivity. He has delivered talks at major conferences like the International Conference on Game Theory (2024) and the Biennial Gordon Research Conference on Forensic Analysis (2025). His work addresses foundational issues in Bayesian aggregation, social choice theory, and belief revision, with applications to economics and cognitive science. Service roles include editorial board membership for Minds and Machines , grant reviewing for the European Research Council, and organizing conferences on logic, games, and imprecise probability. He mentors undergraduate and graduate researchers through programs like the NSF Research Experiences for Undergraduates.

• Decision Theory
• Game Theory
• Probability Theory
• +۱۰ مورد دیگر

Soroush Rafiee Rad is a Research Fellow affiliated with the Dutch Institute for Emergent Phenomena (DIEP) and the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam. Previously, he held postdoctoral positions at Bayreuth University and the University of Amsterdam (ILLC), along with a research fellowship at the Munich Center for Mathematical Philosophy. He completed dual PhDs in Philosophy (Tilburg Center for Logic and Philosophy of Science) and Mathematics (University of Manchester), supervised by Stephan Hartmann and Jeff Paris, respectively. His academic visits include the London School of Economics, City University of New York, and the University of Kent. His research integrates mathematical logic, probabilistic reasoning, and formal epistemology, with emphasis on: Social epistemology and collective attitude formation Probabilistic models for belief revision and learning Applications in quantum logic and decision theory His 15 most recent publications (2017–2022) explore Bayesian inductive logic, probabilistic entailment, quantum protocols, and social deliberation, utilizing tools from category theory, model theory, and statistical learning. He actively mentors graduate and undergraduate researchers, including current PhD/MSc students (Fei Xue, Nikki Weststeijn, Uddalok Sardar) and past supervisees across quantum logic, probabilistic coherence, and formal epistemology topics at ILLC and Bayreuth.

• Mathematical Logic
• Formal Epistemology
• Probabilistic Reasoning
• +۳ مورد دیگر

Prof. Dr. Martin Meißner is a Professor of Digital Marketing at the TUM School of Management (Heilbronn campus) since 2022. Previously, he held roles at Zeppelin University (2020–2021) and the University of Southern Denmark (2013–2019). His research focuses on social media, consumer decision-making using eye tracking, and immersive technologies like VR/AR. He earned his PhD in Business Administration from Bielefeld University (2011) and conducted research at Monash University (Australia). Research Interests: - Social media & digitalization impacts - Eye tracking methodologies for decision analysis - VR/AR applications in consumer behavior - Influencer marketing dynamics - Attention-based recommender systems Key Research Contributions: - Developed attention-based VR shopping environments - Advanced eye-tracking applications in organizational research - Investigated decision-making processes in digital contexts Awards: Best Paper Award (Information Systems Research) German Research Foundation (DFG) Grant Westphalian-Lippish University Society Dissertation Prize His work bridges marketing theory with cutting-edge technologies, emphasizing empirical validation through interdisciplinary collaborations with global institutions.

• Digital Marketing
• Social Media Analysis
• Consumer Behavior
• +۴ مورد دیگر

Scott Thiebes is a Postdoctoral Research Associate and team lead of the Digital Health work group at the Critical Information Infrastructures Research Group at the Karlsruhe Institute of Technology (KIT). He holds a Ph.D. in Information Systems from KIT (Summa cum laude, 2022) and previously completed his academic training at the University of Cologne. His research focuses on digital transformation in healthcare, with particular expertise in digital health, information systems, blockchain technology, and artificial intelligence applications in healthcare settings. Karlsruhe Institute of Technology (KIT) - Institute for Applied Computer Science and Formal Description Methods Chair of Information Infrastructures under Prof. Ali Sunyaev Team lead of Digital Health work group Technical University of Munich affiliation via Campus Heilbronn Thiebes specializes in the intersection of information systems and healthcare, with research interests spanning digital health infrastructure, trustworthy AI in medical contexts, blockchain applications for health data management, and gamification for medical image annotation. His work employs behavioral and design-oriented information systems methods alongside medical informatics and computer science approaches. He has developed significant expertise in genetic data sharing, privacy considerations in health informatics, and the application of distributed ledger technology in healthcare settings. His recent publications demonstrate a strong focus on explainable AI for medical applications, blockchain-based health data management systems, and gamification techniques to improve medical image annotation quality. The research shows a clear trajectory toward creating more transparent, trustworthy, and effective digital health solutions that address both technical and human factors in healthcare transformation. Nominated by KIT for the Helmholtz Dissertation Award 2022 Best Theory Paper on Health IS Track at ICIS 2020 Multiple Best Reviewer Awards (ICIS 2019, WISP 2019, WISP 2017) Doctoral Fellow of HICSS 2017 Multiple Best Paper Nominations (PACIS 2016, ECIS 2014) Dean's Award from University of Cologne (twice) Thiebes serves as a reviewer for numerous top-tier information systems conferences and journals including ICIS, ECIS, HICSS, and WISP. He holds editorial and track chair positions for Business & Information Systems Engineering (BISE) and various conference tracks. His research is supported by multiple projects including GaMeIT (gamification for medical image annotation), BloG3 (blockchain-based health data management), Digital Transformation in Healthcare, ReDiBlock (resource conservation through blockchain), and XAIOmics (explainable AI for omics data), funded by organizations including the Helmholtz Association, German Federal Ministry of Education and Research, and German Research Foundation.

• Digital Health
• Information Systems
• Blockchain Technology
• +۶ مورد دیگر

Dr. David Danz is a Research Professor in the Department of Economics at the University of Pittsburgh. Previously, he served as a staff member at the WZB Berlin Social Science Center in their Research Department Market Behavior. His research focuses on Experimental Economics, Behavioral Economics, Decision Theory, and Econometrics, with an emphasis on understanding how incentives and cognitive biases influence decision-making in economic contexts. David’s work examines mechanisms like belief elicitation, behavioral incentive compatibility, and market dynamics. He has collaborated with institutions such as the Pittsburgh Experimental Economics Lab (PEEL) and the Behavioral Economics Design Initiative. His experimental methodologies address real-world issues such as ethical consumer behavior, delegation decisions, and the impact of hindsight bias on competitive outcomes. Key publication trends include analyzing mechanisms of incentive compatibility through experiments, exploring fairness in markets, and investigating cognitive biases like overconfidence and projective thinking. His research bridges theoretical models with empirical evidence, often using controlled laboratory settings to test hypotheses. David is affiliated with the University of Pittsburgh’s Department of Economics, the WZB Berlin, and the Behavioral Economics Design Initiative. His contributions span academic journals and working papers, emphasizing rigorous experimental design and its applications to policy and organizational behavior.

• Experimental Economics
• Behavioral Economics
• Decision Theory
• +۲ مورد دیگر

Stefan Herzog is a Senior Research Scientist and Head of the Research Area Boosting Decision-Making at the Max Planck Institute for Human Development in Berlin. He leads interdisciplinary projects integrating psychology, artificial intelligence, and computational social science to address global challenges like misinformation, climate change, and AI's societal impact. PhD in Psychology (2009, University of Basel) M.Sc. in Psychology (2005, University of Basel) B.Sc. in Psychology (2003, University of Basel) His research focuses on boosting human decision-making through: Hybrid human-AI collective intelligence Strengthening resilience against disinformation Behavioral interventions in digital environments Transparent, non-manipulative policy design Self-nudging strategies Methodological innovation in social science Recent publications emphasize AI ethics , digital sovereignty , and democratic resilience . He has secured significant funding from the EU Horizon program, DFG, and Volkswagen Stiftung. Scientific recognition includes the Hillel Einhorn New Investigator Award (2010).

• Decision-Making
• Artificial Intelligence
• Collective Intelligence
• +۶ مورد دیگر

Philippe Mongin is a Senior Research Fellow at the Centre National de la Recherche Scientifique (CNRS) and has been a Professor at HEC Paris (School of Economics and Decision Sciences) since 2006. He holds an agrégation in philosophy and a PhD in economic science, with research spanning economic theory, formal logic, and decision-making models. Research Interests: Mongin’s work focuses on instrumental rationality, collective aggregation of judgments and preferences, and formal logic applications in decision theory. His publications span journals like Journal of Economic Theory , Economics and Philosophy , Synthese , Games and Economic Behavior , and Journal of Philosophical Logic .

• Economics
• Philosophy
• Economic Theory
• +۴ مورد دیگر