جست‌وجوی استاد و پژوهشگر

Marion Gaspardمشاهده پروفایل

مدرس

• History of Economic Thought
• Mathematical Economics
• Environmental Economics
• +۳ مورد دیگر

Marion Gaspard is a Lecturer in Economics at Lumière Lyon 2 University, specializing in the history of economic thought and mathematical economics. She holds leadership roles, including Co-Director of the Master's Degree in Economic and Social Sciences (Université Lyon 2-ENS de Lyon) and Director of Studies for programs such as the M1 'Theories and History of Economics in Society.' Her research focuses on the history of inter-temporal choice models, the mathematization of economics, and the contributions of figures like Harold Hotelling and Frank Ramsey. She is affiliated with the Triangle Laboratory (UMR 5206) and contributes to editorial boards and academic committees. Notable publications include analysis of Hotelling’s economic theories and their implications for climate and resource economics. Her work bridges historical analysis with contemporary challenges, emphasizing the ethical dimensions of resource allocation and the role of mathematics in economic discourse. She has participated in media discussions, including a France Culture interview on Hotelling’s contributions. Her academic service includes roles on institutional committees and international collaborations, such as a Bachelor program in Phnom Penh.

• Business Analytics
• AI
• Operations Management
• +۵ مورد دیگر

Tingliang Huang holds concurrent roles as the Amazon Distinguished Professor of Business Analytics at the University of Tennessee's Haslam College of Business and Honorary Professor at the UCL School of Management. He earned his PhD from Northwestern University's Kellogg School of Management. His research focuses on business analytics, AI-driven strategies, supply chain optimization, and behavioral operations, with notable contributions to Marketing Science, Management Science, and Production and Operations Management. Affiliations: Amazon Distinguished Professor, Haslam College of Business, University of Tennessee Honorary Professor, UCL School of Management Former tenured Associate Professor at Boston College's Carroll School of Management Education: PhD in Management, Kellogg School of Management, Northwestern University (2011) M.S. and B.S. from University of Science and Technology of China (USTC) Research Interests: Huang’s work bridges analytics and operations, exploring topics like opaque selling, bounded rationality in consumer decisions, supply chain dynamics, and sustainable operations. He has pioneered frameworks for probabilistic selling and dynamic pricing under uncertainty. His interdisciplinary approach integrates behavioral economics and big data analytics. Publications: Over 20 peer-reviewed articles in top journals, emphasizing service systems, supply chain strategy, and marketing-operations interfaces. Recent work explores AI's societal impacts and algorithmic targeting in vertical markets. Awards: 2025 Vallett Family Outstanding Researcher Award 2018 POMS Wickham Skinner Early Career Award 2015 POMS Best Paper Award Multiple Meritorious Service Awards (M&SOM, Management Science) Editorial Roles: Senior Editor at Production and Operations Management, Associate Editor at Manufacturing & Service Operations Management, Decision Sciences, and others. He also serves on editorial review boards for leading journals. Teaching & Mentorship: Award-winning educator recognized as Carroll School Teaching Star (2021). Advises doctoral students at UCL, UTK, and Chinese institutions, with placements at top schools like George Mason University and USTC. Labs & Teams: Leads the Business Analytics PhD Program at UTK and collaborates on AI ethics research through cross-institutional projects.

Charity Andersonمشاهده پروفایل

دانشیار

• Epistemology
• Philosophy of Religion
• Fallibilism
• +۲ مورد دیگر

Dr. Charity Anderson is an Associate Professor in the Department of Philosophy at Baylor University's College of Arts and Sciences. Her research specializes in epistemology and philosophy of religion, with focus areas including fallibilism, epistemic modals, and evidence theory. She has presented her work at major philosophy conferences including the APA and Butler Society meetings. Her publications primarily explore epistemological frameworks and religious philosophy, examining topics such as divine hiddenness, fallibilist theories, and evidentiary arguments. Her most recent work addresses progress in philosophy and truth theories.

LING Chun Kaiمشاهده پروفایل

استادیار

• Artificial Intelligence
• Decision Making & Planning
• Machine Learning
• +۱۳ مورد دیگر

LING Chun Kai is an Assistant Professor in the Department of Computer Science at the National University of Singapore (NUS), School of Computing. His research focuses on multiagent systems, computational game theory, and machine learning applications in adversarial real-world domains like cybersecurity and logistics. Educational background includes a PhD in Computer Science (2017-2023) from Carnegie Mellon University and a First Class BEng in Computer Engineering (2015) from NUS. Previously, he was a Postdoctoral Research Scientist at Columbia University. Current research interests span computational game theory, machine learning for multi-agent systems, equilibrium characterization in imperfect information settings, and applications in network security, logistics, and recreational games. Key methodological contributions include scalable algorithms for game solving, differentiable game solvers, and copula-based statistical modeling. Recent publications focus on attacker-defender graph games, language negotiation agents, and modeling games with incomplete information. Collaborations include researchers from Columbia University, Carnegie Mellon, and institutions working on GameSec, AAAI, Neurips, and ICML venues. Scientific Awards: IJCAI 2018 Distinguished Paper Award GameSec 2023 Best Paper Award GameSec 2024 Best Paper Award Singapore Teaching and Academic Research Talent Scheme (2024) Teaching includes courses on AI Planning and Decision Making (CS4246, CS5446) and Advanced Topics in Artificial Intelligence (CS6208).

Cameron Muscoمشاهده پروفایل

استادیار

• Theoretical Computer Science
• Machine Learning
• Numerical Linear Algebra
• +۳ مورد دیگر

Cameron Musco is an Assistant Professor in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst. He is affiliated with the Theory Group and conducts research at the intersection of theoretical computer science, numerical linear algebra, and machine learning. His work focuses on randomized algorithms, streaming, and distributed computation, with applications in data science. Education: PhD in Computer Science, MIT (2019) BS in Computer Science and Applied Mathematics, Yale University Research Interests: Musco's research emphasizes algorithm design for large-scale data analysis, including fast randomized methods for linear algebraic problems. He explores topics such as low-memory computation, matrix approximations, and graph algorithms, driven by applications in machine learning and distributed systems. Publications: His recent work spans advancements in hierarchical matrix approximation, graph-based nearest neighbor search, and fair resource allocation, reflecting expertise in both theoretical foundations and practical algorithmic innovation. Awards: He has received an NSF Career Award, Google Research Scholar Award, and recognition for anti-racism leadership. He actively reviews for top conferences in theoretical computer science and machine learning. Advising & Grants: Musco advises multiple PhD students and has grants from NSF and Google. His lab collaborates on projects like low-rank matrix approximation and causal discovery. Labs/Teams: He is part of the Theoretical Computer Science Group and the Center for Data Science at UMass.

• Probabilistic Machine Learning
• Bayesian Models
• Statistical Inference
• +۱۲ مورد دیگر

Luigi Acerbi is an Associate Professor in the Department of Computer Science at the University of Helsinki, where he leads the Machine and Human Intelligence research group. He is also an active member of the Finnish Center for Artificial Intelligence (FCAI) and ELLIS (European Laboratory for Learning and Intelligent Systems). His research focuses on probabilistic machine learning and computational neuroscience, particularly on developing efficient methods for statistical inference, Bayesian models of perception, and resource-constrained rationality. His work bridges machine learning and cognitive science, with applications in Bayesian optimization, simulation-based inference, and image completion. The recent publications highlight a strong trend toward unifying probabilistic conditioning across diverse tasks using transformer-based meta-learning frameworks like the Amortized Conditioning Engine (ACE). These works emphasize amortized inference, flexible latent variable modeling, and the integration of prior knowledge at runtime, enabling efficient and scalable Bayesian methods for complex problems. Scientific Affiliations: University of Helsinki, Department of Computer Science Finnish Center for Artificial Intelligence (FCAI) ELLIS (European Laboratory for Learning and Intelligent Systems) Education: PhD in Computational Neuroscience, Doctoral Training Centre, Edinburgh, UK Advisor: Sethu Vijayakumar and Daniel Wolpert Visiting work at Computational and Biological Learning Lab, Cambridge Postdoctoral Experience: Alex Pouget’s lab, University of Geneva, Switzerland Wei Ji Ma, New York University, USA Collaboration with the International Brain Laboratory Luigi Acerbi mentors PhD students including Daolang Huang and Nasrulloh Loka, and collaborates widely with researchers such as Samuel Kaski. He has contributed to open-source tools like PyVBMC and is involved in community initiatives such as the EurIPS conference. His work is supported by grants from the Research Council of Finland, Business Finland, and the UKRI Turing AI World-Leading Researcher Fellowship. He leads a research lab focused on amortized probabilistic inference, with ongoing projects including PriorGuide and Stacked VBMC, aiming to make Bayesian methods more practical and accessible for real-world scientific and engineering applications.

Thorsten Chmuraمشاهده پروفایل

استاد

• Behavioral Economics
• Experimental Economics
• Game Theory
• +۴ مورد دیگر

Thorsten Chmura is a Professor in the Department of Economics at Nottingham Business School, Nottingham Trent University. His work focuses on experimental and behavioral economics, utilizing laboratory and field experiments to address real-world challenges. He maintains collaborations within NTU’s Applied Economics and Policy Research Group, Public Service Management Research Group, and international partnerships across Europe, China, and the US. Chair of Industrial Economics at University of Nottingham (previous) Director, Centre for Research in the Behavioural Sciences (previous) PhD in Economics and Physics from University of Bonn Research interests span behavioral economics, experimental economics, game theory, and traffic modeling. His work examines decision-making under risk, wage discrimination, and behavioral responses in complex systems. Recent publications explore AVOD streaming economics (2024), social trading herding (2022), and toll road choice dynamics (2014). Key article trends include: Behavioral responses in financial markets Risk attitudes across 30 countries Cultural value impacts on loyalty programs Traffic flow simulations Game theory applications in coordination problems Experimental validation of economic theories

Dale Copelandمشاهده پروفایل

استاد

• International Relations
• Security Studies
• International Political Economy
• +۷ مورد دیگر

Dale Copeland is a Professor of International Affairs at the Frank Batten School of Leadership and Public Policy, University of Virginia. He holds a Ph.D. from the University of Chicago and is a leading scholar in international relations, specializing in security studies and international political economy. His research explores the interplay between economic interdependence, reputation, and state behavior, particularly in great power relations. Ph.D., University of Chicago His research focuses on security studies , international political economy , and IR theory , with particular emphasis on the causes of war, economic interdependence, bargaining and coercion, and the impact of rising and declining power. He investigates how trade, finance, and military behavior are interconnected and how states build reputations in international politics. His recent and past publications reveal a consistent focus on the conditions under which economic interdependence leads to peace or conflict. His work combines historical case studies with theoretical rigor, often engaging with realism, liberalism, and constructivism. Key themes include preventive war, reputation dynamics, trade expectations, and the strategic use of economic tools in foreign policy. His scientific awards include: International Studies Association Best Book Award (2017) MacArthur Fellowship Mellon Fellowship Post-doctoral Fellowship at the Belfer Center for Science and International Affairs, Harvard University Professor Copeland has advised numerous students and contributed to major scholarly debates through symposia on his work in International Security Studies Forum and Qualitative and Mixed Methods Research . He has received significant research support through prestigious fellowships and grants, enabling his influential publications. He is currently working on a book about commerce and American foreign policy and a new project on coercion without war. He is affiliated with the Frank Batten School and contributes to its mission of training future leaders in public policy and international affairs. His research informs both academic discourse and policy-relevant understanding of international conflict and cooperation.

Jerome Busemeyerمشاهده پروفایل

استاد

• Cognitive Science
• Quantum Cognition
• Decision Making
• +۷ مورد دیگر

Jerome Busemeyer is a Distinguished Professor and Provost Professor in the Department of Psychological and Brain Sciences at Indiana University Bloomington, with a joint affiliation in the Cognitive Science Program. He is a Fellow of the American Academy of Arts and Sciences, reflecting his significant contributions to the science of decision-making and cognitive modeling. His educational background includes a Ph.D. in Psychology from the University of South Carolina (1979), an M.A. from the same institution (1976), and a B.A. cum laude from the University of Cincinnati (1973). He completed postdoctoral training in Quantitative Methods at the University of Illinois in 1980. Busemeyer's research focuses on mathematical and computational models of human judgment and decision-making , with pioneering work in quantum cognition , dynamic models , and neural network modeling . He developed Decision Field Theory , a dynamic cognitive model of decision processes, and has led the application of quantum probability to explain cognitive 'errors' such as order effects and violations of rational decision rules. His recent publications reveal a consistent trend toward integrating quantum-theoretic frameworks with empirical decision research, exploring topics such as pricing behavior, confidence judgments, multi-attribute decisions, and medical decision-making. These works appear in top journals including Psychological Review , Trends in Cognitive Sciences , and Proceedings of the National Academy of Sciences , indicating sustained high-impact contributions. Fellow, American Academy of Arts and Sciences Distinguished Professor, Indiana University Provost Professor, Indiana University Busemeyer has advised numerous graduate students and postdoctoral researchers, many of whom have become active collaborators and co-authors. His lab, the Judgment and Decision-Making Laboratory (Decision Research Laboratory), supports interdisciplinary research in cognitive science and receives ongoing funding for theoretical and experimental work. He has authored influential books, including Quantum Models of Cognition and Decision and Cognitive Modeling . The lab, located in Room A300G of the Psychology Building, fosters collaborative research on decision-making, quantum cognition, and computational modeling, with active projects involving fMRI, behavioral experiments, and theoretical development.

• Game Theory
• Bounded Rationality
• Economic Theory
• +۳ مورد دیگر

Ariel Rubinstein is a prominent Israeli economist and Professor of Economics at Tel Aviv University's School of Economics and the Department of Economics at New York University. Born on April 13, 1951, he has established himself as a leading figure in game theory and economic theory over his decades-long career. His research spans Game Theory, Bounded Rationality, Economic Theory, and Experimental Economics. Rubinstein is particularly renowned for developing the Rubinstein bargaining model, published in 1982, which describes two-person bargaining as an extensive game with perfect information. He also co-authored the highly influential A Course in Game Theory (1994) with Martin J. Osborne, which has been cited over 4,000 times. His recent scholarly output shows continued productivity across multiple subfields of economic theory, with a focus on behavioral aspects of decision-making, implementation theory, and the philosophical foundations of economic modeling. His work often challenges conventional approaches in economics while maintaining rigorous theoretical foundations. Honorary Fellow recognition Author of highly cited textbooks and scholarly articles Creator of educational resources including game theory experiments website Rubinstein maintains an active teaching role at NYU, where he has taught PhD microeconomics courses through 2024. His work extends beyond traditional academic boundaries through his 'Rubinstein's Atlas of Cafes where one can think,' his political commentary, and his engagement with public discourse on economic methodology and social issues. He has created protest materials and written extensively on contemporary political matters, particularly regarding the Israeli-Palestinian conflict. His laboratory focuses on Economic Theory, Bounded Rationality, Game Theory, and Experimental Economics, reflecting his interdisciplinary approach to understanding human decision-making within economic frameworks.

Ross Ottoمشاهده پروفایل

دانشیار

• Behavioral Neuroscience
• Cognition
• Cognitive Neuroscience
• +۳ مورد دیگر

Ross Otto is an Associate Professor in the Department of Psychology at McGill University. He holds an office at 2001 McGill College, 711, and can be reached via email at ross.otto@mcgill.ca. His research focuses on understanding the mechanisms underlying reflective versus reflexive decision-making, particularly how cognitive resources, stress, and contextual factors influence effort-based choices. He employs computational modeling, behavioral experiments, and neuroimaging techniques. Notable contributions include studies on stress-induced cognitive avoidance and the neural correlates of effort evaluation. His work is affiliated with the Otto Lab, and he collaborates widely across disciplines such as neuroscience and behavioral economics.

Felix Brandtمشاهده پروفایل

استاد

• Algorithmic Game Theory
• Computational Social Choice
• Theoretical Computer Science
• +۲ مورد دیگر

Prof. Felix Brandt is a Professor of Algorithmic Game Theory at the Technical University of Munich (TUM), within the School of Computation, Information and Technology. His research focuses on algorithmic game theory, computational social choice, and their intersections with theoretical computer science, AI, and economics. Education: Diploma and PhD from TUM, postdoctoral research at Carnegie Mellon University and Stanford University. Habilitation from LMU Munich (2010). Research interests include social choice theory, mechanism design, and strategic behavior in multi-agent systems. Notable contributions include work on tournament solutions, probabilistic social choice, and Nash equilibrium characterizations. Recent articles explore Condorcet-consistent voting systems, stability in hedonic games, and axiomatic foundations of Nash equilibrium. Awards include the DFG Heisenberg Professorship (2010) and TUM Supervisory Award (2021). Advises over 10 PhD students and has supervised numerous postdocs. Active in editorial roles for journals like Games and Economic Behavior and Social Choice and Welfare .

• Philosophy of Economics
• History of Economic Thought
• Austrian School of Economics
• +۵ مورد دیگر

Dr. Alexander Linsbichler serves as Senior Postdoc and Principal Investigator at the Institute of Philosophy and Scientific Method at Johannes Kepler University Linz. He leads the FWF ESPRIT project 'Adverse Allies: Logical Empiricism and Austrian Economics' and will assume Principal Investigator duties for the OeNB (Austrian National Bank) Anniversary Fund Project 'Carl Menger as a Central Banker?' starting January 2025. Concurrently, he holds faculty appointments at the Vienna Doctoral School of Philosophy (University of Vienna) and the Department of International Economics (Vienna International School), and lectures at multiple economics departments across Vienna and Graz institutions. Dr. Linsbichler earned his doctorate in Philosophy from the University of Vienna with highest distinction in September 2020 through the Doctoral Program 'The Sciences in Historical, Philosophical and Cultural Contexts.' His academic foundation includes an MA in History and Philosophy of Science (2014) and a Mag.rer.nat. in Mathematics: Mathematical Logic and Foundations (2012), both completed with highest distinction from the University of Vienna and Vienna University of Technology. His research centers on the philosophical foundations of economics, with particular emphasis on the Austrian School of Economics within historical context. Dr. Linsbichler investigates the complex relationship between Logical Empiricism and Austrian Economics, the evolution of economic methodology, and the history of economic thought from Viennese Enlightenment through 20th century debates. His work frequently examines intellectual connections between figures like Otto Neurath, Ludwig von Mises, and members of both the Vienna Circle and Mises Circle, challenging conventional narratives about these philosophical and economic traditions. Analysis of his recent publications reveals a scholarly trajectory focused on re-examining foundational assumptions in economic thought, particularly regarding the socialist calculation debates, the role of formal methods in economics, and the historical development of Viennese economic philosophy. His interdisciplinary approach integrates philosophy of science, economic methodology, and historical analysis to provide nuanced perspectives on longstanding debates in economic theory. 2nd place RHETM Paper Prize 2020 for 'Rationalities and Their Limits: Reconstructing Neurath's and Mises's Prerequisites in the Early Socialist Calculation Debates' As Principal Investigator of major research projects funded by the Austrian Science Fund (FWF) and the Austrian National Bank, Dr. Linsbichler manages substantial research resources. His FWF ESPRIT project 'Adverse Allies' explores historical connections between Logical Empiricism and Austrian Economics, while his upcoming OeNB project will investigate Carl Menger's central banking contributions. These projects demonstrate his ability to secure competitive funding and lead interdisciplinary research teams examining foundational questions in economic thought. Dr. Linsbichler actively participates in multiple research initiatives including 'Adverse Allies: Logical Empiricism and Austrian Economics' (FWF), 'Carl Menger as a Central Banker?' (OeNB), and 'Normative Framework for Measuring Lifespan Inequity' (NORM_LIFE). These projects unite scholars from philosophy, economics, and history to investigate methodological questions in economic theory and policy formation, with particular attention to how philosophical frameworks shape economic reasoning.

Seth Freyمشاهده پروفایل

دانشیار

• Computational Social Science
• Governance of Commons
• Complex Systems
• +۵ مورد دیگر

Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis, with affiliate status at Indiana University's Ostrom Workshop and as Research Director at Metagov. His research focuses on computational social science approaches to understanding self-governance in complex social systems, particularly through the lens of online communities as model institutions. Education: Ph.D. in Cognitive Science and Informatics (complex systems), Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey specializes in computational approaches to institutional analysis and the cognitive science of strategic behavior . His work examines how communities design governance systems to overcome collective action problems, with emphasis on: Emergent institutional structures in digital commons Policy-as-data through NLP and institutional grammar frameworks Cognitive mechanisms underlying cooperative behavior Design principles for participatory change in online platforms His methodology integrates large-scale data analysis, web-based experiments, and computational modeling across diverse contexts including Minecraft, Reddit, and professional sports ecosystems. Publication Trends: Recent publications (2023-2025) demonstrate a cohesive trajectory toward computational institutional analysis, with increasing focus on NLP-driven policy analysis (e.g., NLP4Gov), decentralized governance architectures (DAOs, multi-level platform governance), and the cognitive foundations of collective action. His work consistently bridges theoretical institutional analysis with practical applications in digital community design, showing particular growth in translating Ostrom's design principles into computational frameworks. Awards: Honorable Mention Award for Best Paper at ACM CSCW 2019 Advising and Grants: Frey mentors students interested in data science applications at the intersection of communication, cognition, and complex systems, emphasizing resourcefulness and intellectual curiosity. His research has secured substantial funding from: National Science Foundation (NSF) NASA Ford Foundation Google Open Source Foundation He actively encourages aspiring graduate students with strong self-directed research skills to explore computational approaches to social phenomena. Labs and Teams: He leads the Computational Communication Lab at UC Davis and co-directs the Institutional Grammar Research Initiative. Through Metagov, he develops the 'Governance API' framework for modular community governance. His past affiliations include Disney Research (Walt Disney Imagineering) where he applied complexity science to theme park systems, and the New England Complex Systems Institute (NECSI). Current collaborations span Ethereum governance, Minecraft server ecosystems, and Colorado's cannabis monitoring infrastructure.

Jane Gatleyمشاهده پروفایل

مدرس

• Philosophy of Education
• Curriculum Studies
• Social Justice in Education
• +۳ مورد دیگر

Dr. Jane Gatley is a Lecturer in Education at Swansea University’s School of Social Sciences, specializing in Philosophy of Education. She holds a PhD from the University of Birmingham and previously served as an ESRC Postdoctoral Fellow there. With seven years of secondary school teaching experience, her research focuses on curriculum design, the role of philosophy in education, and social justice in pedagogy. She leads an interdisciplinary project funded by the Society for Educational Studies, exploring philosophy as a research method in educational studies. Gatley is also the chief examiner for the International Baccalaureate’s philosophy diploma course and chairs the South Wales branch of the Philosophy for Education Society. Education: PhD in Philosophy of Education (University of Birmingham), Secondary School Teaching Qualification. Research Interests: Aims of education, curriculum theory, educational value of knowledge, conceptual engineering in education, philosophy in schools, and social epistemology. Recent Projects: £7,446 grant for 'Engineering Educational Concepts - Philosophical Analysis for Educational Problems' (2022). Current focus includes the educational value of knowledge and AI’s impact on democratic curricula. Collaborations involve philosophers and education specialists. Teaching: Modules include 'Creative and Critical Thinking in Schools' and 'Curriculum Theory and Debates', emphasizing Welsh curriculum frameworks and cross-curricular competencies.