جست‌وجوی استاد و پژوهشگر

Steven Mansonمشاهده پروفایل

استاد

• Geographic Information Science
• Environmental Science
• Biocomplexity
• +۱۲ مورد دیگر

Dr. Steven Manson is a Professor in the Department of Geography, Environment, and Society at the University of Minnesota's College of Liberal Arts, where he also served as Associate Dean for Research and Graduate Programs. He directs the Human-Environment Geographic Information Science (HEGIS) laboratory and leads major data science initiatives like the National Historical Geographic Information System (NHGIS) and IPUMS Terra. PhD in Geography, Clark University (2002) BA Honours in Geography, University of Victoria (1995) His research focuses on geographic information science and human-environment systems , using agent-based modeling and big data to analyze land use change, urban dynamics, and sustainability challenges. Recent work explores spatiotemporal data harmonization and geospatial cyberinfrastructure . The articles reveal trends in GIScience methodology , urbanization analysis , and data-intensive sustainability research . Key contributions include self-organizing map applications for health data and hybrid statistical-GIS techniques for environmental policy. Scientific accolades include: Ecological Society of America Sustainability Science Award NASA Earth System Science Fellow McKnight Land Grant Professorship As Principal Investigator for NHGIS and IPUMS Terra, he secured over $40M in NSF, NIH, and DOJ grants for spatiotemporal data infrastructure. Outreach initiatives include developing open geospatial textbooks adopted globally and collaborating with Twin Cities K-12 programs.

• Behavioural Economics
• Evolutionary Game Theory
• Social Networks
• +۵ مورد دیگر

Friederike Mengel is a Professor of Economics at the University of Essex and holds a Visiting Professorship at Erasmus University Rotterdam. She is also a Fellow of the Academy of Social Sciences (UK). Her research focuses on Behavioural Economics , integrating Game Theory , Evolutionary Dynamics , and Social Network Analysis . Key research themes include social influence in networks , opinion dynamics , emergence of social norms , and links between social identity, bounded rationality, and discrimination . Recent work explores Covid-19 impacts on productivity and innovation in hybrid work environments . Her scientific awards include the Best Paper Award from Quantitative Economics (2018) and recognition as an Academy of Social Sciences Fellow. Her publications span topics like cooperation in viscous populations , strategic behavior in repeated games , and gender bias in opinion aggregation , with media coverage in outlets like The Economist and Financial Times .

Jörg Spenkuchمشاهده پروفایل

دانشیار

• Political Economy
• Applied Microeconomics
• Behavioral Economics
• +۴ مورد دیگر

Jörg Spenkuch is an Associate Professor of Managerial Economics & Decision Sciences at Kellogg School of Management, Northwestern University, where he has been since 2013. He holds a Ph.D. in Economics (2013) and M.A. (2009) from the University of Chicago, and dual B.A. degrees in Economics and Business Administration (2007) from the University of St. Gallen, Switzerland. Education: Ph.D., 2013, Economics, University of Chicago M.A., 2009, Economics, University of Chicago B.A., 2007, Economics, University of St. Gallen B.A., 2007, Business Administration, University of St. Gallen Professor Spenkuch's research bridges political economy and applied microeconomics , with a focus on ideological behavior, strategic decision-making, and social dynamics. His work examines topics like: Political Economy: Campaign finance, electoral accountability, and ideological sorting. Behavioral Economics: Satisficing behavior, memory-driven choices, and strategic voting. Public Policy: School desegregation effects, bureaucratic performance, and immigration-crime linkages. His recent publications analyze: Long-term ideological shifts from 1975 school desegregation (2025 working paper). Memory premiums in decision-making (2025 working paper). Complexity's role in chess strategy (2024 Review of Economic Studies ). Political accountability during natural disasters (2025 American Economic Journal ). Scientific Recognition: MinE Best Paper Award (European Economic Association) Chair's Core Teaching Award Deutschlands "Top 40 unter 40" (Capital magazine) FEEM Award (European Economic Association) Best Paper Award, RGS Doctoral Conference At Kellogg, he teaches Leadership and Crisis Management (PACT-440-5) and Business Analytics (DECS-435-0). His work has been published in top journals like Econometrica , American Economic Review , Quarterly Journal of Economics , and Review of Economic Studies , covering topics from partisan spatial sorting to expressive vs. strategic voting behavior.

George Evansمشاهده پروفایل

استاد

• Macroeconomics
• Econometrics
• Adaptive Learning
• +۹ مورد دیگر

George Evans is the John B. Hamacher Professor of Economics at the University of Oregon, affiliated with the Department of Economics in the College of Arts and Sciences. He holds a Ph.D. from the University of California, Berkeley (1980), with expertise in macroeconomics and econometrics. His research centers on adaptive learning in macroeconomic models, exploring how expectations influence monetary and fiscal policy, economic stability, and sunspot equilibria. His work integrates theoretical modeling with experimental and behavioral insights, contributing significantly to the understanding of bounded rationality and learning dynamics in economic systems. The recent articles highlight a consistent focus on expectations, learning, and macroeconomic policy . Themes include the stability of economic equilibria under learning, the role of bounded rationality in unemployment and market dynamics, and the nonlinear effects of fiscal policy. His research often employs advanced dynamic modeling and has been published in leading journals such as the American Economic Journal: Macroeconomics and Journal of Economic Theory . Evans has received research funding, including from the NSF (Grant No. SES-1559209), and is a co-author of the influential book Learning and Expectations in Macroeconomics . He has delivered numerous invited lectures at international conferences and institutions, solidifying his role as a leading scholar in behavioral and learning-based macroeconomics. He advises and collaborates extensively, particularly with Seppo Honkapohja, Bruce McGough, and William Branch. His work continues to shape the discourse on how agents form expectations and how such behavior affects macroeconomic outcomes.

Hamid Sabourianمشاهده پروفایل

استاد

• Economic Theory
• Game Theory
• Microeconomic Theory
• +۳ مورد دیگر

Professor Hamid Sabourian holds the title of Professor of Economics and Game Theory at the Faculty of Economics, University of Cambridge, and serves as a Fellow of King's College. His work bridges theoretical and applied domains, focusing on economic theory, game theory, and behavioral economics with applications in organ transplantation, financial markets, and social learning. Education & Affiliations : Affiliated with the University of Cambridge's Faculty of Economics and King's College. Research Focus : Explores bounded rationality, strategic complexity, herding behavior, and mechanism design. His work connects abstract game theory with real-world issues in healthcare, financial systems, and collective decision-making. The article trends reveal a consistent focus on game theory applied to dynamic environments, with recurring themes in herding, strategic complexity, and mechanism design across domains like organ transplantation, financial markets, and innovation. His work often integrates mathematical rigor with behavioral insights, emphasizing rational decision-making under uncertainty and institutional constraints. Scientific Awards : Fellow of the British Academy (2013). Advising : Supervised PhD student Yifan Zhang. Grants : Received funding from the Economic and Social Research Council (ESRC) for research on herding in financial markets (2005-2009).

• AI Safety
• Multi-Agent Systems
• Formal Verification
• +۵ مورد دیگر

Dr. Muhammad Najib is an Assistant Professor (Lecturer in the UK system) at Heriot-Watt University's School of Mathematical and Computer Sciences in Edinburgh. He is also an Associate Member of the University of Oxford's Department of Computer Science. His research focuses on ensuring AI safety through formal verification methods, particularly in multi-agent systems. Najib holds a DPhil/PhD from the University of Oxford, supervised by Julian Gutierrez and Mike Wooldridge, and has industry experience at Samsung Electronics. Education: BSc from Sepuluh Nopember Institute of Technology, MSc from the University of Liverpool, DPhil/PhD from the University of Oxford. He previously worked as a postdoctoral researcher at TU Kaiserslautern under Anthony Lin. Research Interests: Logic and game theory in AI foundations, equilibrium verification in multi-agent systems, temporal logics, and formal verification techniques. He developed the EVE tool for rational verification. Najib actively supervises PhD students and collaborates on projects like the UKRI AI CDT-D2AIR. Key Contributions: Published 17+ research outputs since 2018. Areas include equilibrium design, probabilistic multi-agent systems, and computational complexity analysis. His work bridges formal methods with AI safety, emphasizing automated synthesis and model checking.

Andrew Ellisمشاهده پروفایل

دانشیار

• Microeconomic Theory
• Decision Theory
• Political Economy
• +۳ مورد دیگر

Andrew Ellis is an Associate Professor of Economics at the London School of Economics and Political Science (LSE), Department of Economics. He is also a Theory Group Associate at STICERD. His research focuses on Microeconomic Theory, Decision Theory, and Political Economy, with particular emphasis on bounded rationality and ambiguity aversion. Ellis holds a PhD in Economics from Boston University (2013) and a BA in Mathematics and Economics from the University of North Carolina-Chapel Hill. Ellis' educational background includes: PhD in Economics, Boston University, 2013 BA in Mathematics and Economics, University of North Carolina-Chapel Hill His research interests span: Microeconomic Theory Decision Theory, focusing on bounded rationality and ambiguity aversion Game Theory and its applications Political Economy Optimal Inattention and Information Processing Correlation Misperception and Subjective Causality Ellis' recent work explores topics such as choice bracketing, optimal inattention, and the effects of diverse beliefs in financial markets. His research often combines theoretical models with experimental insights, examining how decision-makers perceive and respond to uncertainty and correlation. Key contributions include analyzing strategic voting under ambiguity, equilibrium securitization, and the dynamics of research methodologies in economics. Andrew Ellis has not been noted to have received any scientific awards or fellowships in the provided information. Ellis does not list any advisees or specific grants in the provided information. He is affiliated with the STICERD Theory Group at LSE, contributing to its research activities in economic theory.

Ryan Murrayمشاهده پروفایل

استادیار

• Calculus of variations
• Partial Differential Equations
• Machine Learning
• +۵ مورد دیگر

Ryan Murray is an Assistant Professor in the Department of Mathematics at North Carolina State University (NC State). His research focuses on developing mathematical tools to address problems in applied analysis, including calculus of variations, partial differential equations (PDEs), and their applications to machine learning, fluid dynamics, and control theory. He holds a PhD in Mathematics from Carnegie Mellon University (2016). His expertise spans regularization methods for machine learning, singular perturbations in materials science, algorithms for distributed optimization, and singularity formation in fluid dynamics. His work is supported by the National Science Foundation (NSF) and the Simons Foundation. He actively collaborates with researchers in data science, PDE analysis, and optimization. Key research areas include adversarial training in classification, geometric data analysis via statistical depths, and the analysis of vortex sheet singularities. His teaching experience includes courses on partial differential equations, optimal control theory, and linear control systems. Ryan has published extensively in journals such as SIAM Journal on Mathematics of Data Science , Archive for Rational Mechanics and Analysis , and Journal of Machine Learning Research . His articles explore topics ranging from graph-based learning to fluid dynamics instabilities.

• Agent-Based Computational Economics
• Economic Networks
• Macroeconomics
• +۳ مورد دیگر

Giorgio Fagiolo is a Full Professor of Economics at Sant'Anna School of Advanced Studies. His work spans agent-based computational economics, economic networks, and macroeconomic policy analysis. University: Sant'Anna School of Advanced Studies (Scuola Superiore Sant'Anna) Department: Economics Email: giorgio.fagiolo@sssup.it Research interests focus on agent-based modeling , macroeconomic instability , and climate-economy interactions . He develops computational models to study industrial dynamics, financial integration, and policy design in complex systems. Key themes: Endogenous growth cycles, R&D network stability, and green transition policies. Methodological emphasis: Empirical validation of agent-based models and nonlinear economic dynamics. Scientific awards include collaboration with leading institutions like ETH Zurich, Columbia University, and OFCE Sciences Po. His publications appear in journals such as Journal of Economic Dynamics and Control and Ecological Economics .

Craig R. M. McKenzieمشاهده پروفایل

استاد

• Decision Making
• Rationality
• Judgment and Decision Making
• +۲ مورد دیگر

Craig R. M. McKenzie serves as Professor of Management and Psychology at UC San Diego's Rady School of Management, holding the Jerome Katzin Chair in Corporate Governance. His interdisciplinary work bridges business school research with psychological science, focusing on how environmental structures shape human judgment and decision processes. McKenzie earned his Ph.D. in Psychology from the University of Chicago (1994). His foundational research challenges conventional interpretations of cognitive biases by demonstrating how seemingly irrational choices often reflect reasonable Bayesian inferences given real-world constraints. Key contributions include reinterpreting the representativeness heuristic through environmental statistics and reframing framing effects as rational responses to contextual cues. His publication trajectory reveals evolving emphases from basic judgment mechanisms (2006-2015) toward moral decision architecture (2016-2023), with consistent exploration of probability sensitivity, default effects, and framing phenomena. Recent work increasingly examines moral dilemmas through computational modeling while maintaining experimental rigor in behavioral testing. Scientific recognition includes: National Science Foundation research awards Operations Research Society of America honors Society for Judgment and Decision Making distinctions McKenzie's grant activity centers on NSF-funded investigations of decision architecture, with collaborative projects spanning moral psychology, risk communication, and choice engineering. His theoretical frameworks directly inform behavioral interventions in healthcare, finance, and public policy domains through the Rady School's applied research initiatives. As a core faculty member in UC San Diego's Decision Science hub, he contributes to cross-departmental research networks examining cognitive foundations of economic behavior within the university's neuroscience and social science ecosystems.

Adam Elgaمشاهده پروفایل

استاد

• Philosophy of Probability
• Decision Theory
• Self-locating Belief
• +۴ مورد دیگر

Adam Elga serves as Professor of Philosophy and Director of the Program in Linguistics at Princeton University, based in the Department of Philosophy with his office in Laura Wooten Hall (204). His contact information includes email adame@princeton.edu and phone 609 258-1477, confirming active institutional engagement. Elga's research spans philosophy of probability, decision theory, self-locating belief, and existential risk, with notable intersections in linguistics through his program directorship. His work addresses fragmentation in belief systems, cognitive instability, and rational decision-making under uncertainty, contributing significantly to epistemological frameworks and philosophical probability models. Recent publications (2020-2025) demonstrate sustained focus on existential risk analysis, decision theory paradoxes, and belief fragmentation. His scholarship bridges theoretical philosophy with practical applications in risk management and cognitive science, particularly through investigations of suboptimal risk decisions and cognitive limitations in high-stakes scenarios. Scientific awards: None mentioned in provided text. Advising and grants: The scraped text contains no information about doctoral students, mentees, or specific research funding. As a full professor and program director, he likely oversees graduate research and secures institutional support, though concrete details are absent from the source material. Labs and research teams: No dedicated laboratories, research groups, or collaborative teams are referenced in the available documentation.

• Transportation Systems Analysis
• Traffic Engineering
• Sustainable Transportation
• +۳ مورد دیگر

Yu Nie is a Professor in the Department of Civil and Environmental Engineering at Northwestern University, affiliated with the NU-TREND research group within the McCormick School of Engineering. His work focuses on optimizing transportation networks, integrating human behavior, infrastructure design, and network topology to enhance mobility, reliability, and sustainability. He holds a Ph.D. from the University of California, Davis, an M.S. from the National University of Singapore, and a B.S. (cum laude) from Tsinghua University. His research interests span interdisciplinary approaches combining optimization, network science, traffic flow theory, economics, and statistics. Key areas include congestion pricing strategies, ride-hailing market dynamics, autonomous vehicle integration, and transit system design. He has contributed to studies on dockless bike-sharing systems, ethics-aware transit design, and traffic management in autonomous vehicle zones. Nie’s recent publications (2024–2025) highlight advancements in modular autonomous vehicle systems, co-modal freight solutions, and policy frameworks for sustainable urban mobility. His work often bridges theoretical insights with practical applications, addressing challenges like EV charging chaos and ride-pooling impacts. He received the 2021 Transportation Science Meritorious Service Award for his editorial contributions. His research also explores freight exchange platforms, taxi market resilience during pandemics, and the role of route choice models in transit design. Labs/Teams: Yu Nie is associated with the NU-TREND research group, specializing in innovative transportation solutions through interdisciplinary collaboration.

Xiaolei Guoمشاهده پروفایل

استاد

• Transportation
• Supply Chain Management
• Congestion Pricing
• +۳ مورد دیگر

Xiaolei Guo is a Professor of Management Science at the Odette School of Business, University of Windsor. His expertise spans transportation systems, supply chain optimization, and infrastructure pricing strategies. He holds a Ph.D. in Transportation from the Hong Kong University of Science and Technology (2008) and a B.A. in Hydraulic Engineering from Tsinghua University (2004). His research focuses on congestion pricing mechanisms, transportation network modeling, and toll road economics. Notable areas include optimizing toll designs under uncertainty, analyzing autonomous vehicle impacts on ridesharing, and evaluating strategic distribution channel decisions under environmental regulations. Dr. Guo has contributed to over 30 peer-reviewed articles since 2005, exploring topics such as Braess paradox under bounded rationality, Pareto-improving congestion schemes, and profit maximization for private toll roads. His work bridges theoretical optimization with practical policy applications. He is an active member of the Canadian Transportation Research Forum (CTRF) since 2011 and the Institute for Operations Research and the Management Sciences (INFORMS) since 2009.

Sanchayan Banerjeeمشاهده پروفایل

دانشیار

• Behavioral Economics
• Environmental Economics
• Experimental Economics
• +۳ مورد دیگر

Sanchayan Banerjee is an Associate Professor of Economics & Public Policy at King’s College London’s Policy Institute, with a dual appointment as Visiting Professor at Grenoble-IAE (Université Grenoble Alpes). He previously held a tenured position as Assistant Professor of Environmental and Behavioral Economics at Vrije Universiteit Amsterdam (2022-2024). His research focuses on citizen-oriented, participatory behavioral public policies, tested through experiments in food, energy, health, and charitable policy domains. He co-developed the NUDGE+ framework emphasizing citizen agency in policy design. Affiliations: Visiting Fellow, London School of Economics Affiliate, Amsterdam Sustainability Institute & Institute for Environmental Studies Academic Lead for Professional Education, Policy Institute Research Interests: Behavioral economics, environmental economics, experimental methods, and policy effectiveness. His work bridges behavioral insights with real-world policy challenges, emphasizing participatory approaches and ethical considerations. Recent Article Trends: Recent work analyzes public support for pandemic policies, vaccine uptake drivers across G7 nations, and the ethical implications of behavioral nudges. He explores how experimental methods (field, lab, online) validate policy impacts while addressing equity concerns. Awards: Three consecutive LSE Teaching Awards Teaching Innovation Grants (VU Amsterdam) FHEA (UK Higher Education Academy Fellow) Grants & Leadership: Co-leads NWO ALIGN4energy (€5.7M), a Netherlands-based energy sustainability project. Serves on editorial boards for Scientific Reports , PLOS One , and Humanities & Social Sciences Communications . Previously co-edited Behavioral Public Policy ’s New Voices section. Labs/Teams: Leads King’s Policy Institute’s behavioral policy research group and collaborates across institutions on interdisciplinary projects like the NUDGE+ toolkit development.

Roman Sheremetaمشاهده پروفایل

دانشیار

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

Roman Sheremeta is an Associate Professor in the Department of Economics at Case Western Reserve University's Weatherhead School of Management . He also serves as a Research Affiliate at the Economic Science Institute and an Associate Fellow at Purdue University Teaching Academy. Sheremeta earned his Ph.D. in economics from Purdue University and has been affiliated with Case Western since 2013. Education Ph.D. in Economics from Purdue University (2009) MS in Economics from Purdue University (2006) Bachelor of Arts from Precarpathian National University (2004) Bachelor of Arts from National Technical University (2013) His research focuses on experimental economics and game theory , with applications in behavioral economics, conflict resolution, industrial organization, labor economics, and public economics. Sheremeta has published over 70 articles across economics, business, political science, and psychology journals, including Journal of Economic Behavior and Organization , Experimental Economics , and Economic Inquiry . Notable awards include the 2018 Smith Ascending Scholar Prize ("budding genius" in social science), Best 40 Under 40 Professors 2019 by Poets & Quants, and recognition as Top Economic Thinker of Ukrainian Descent by Forbes. His work has been featured in Wall Street Journal , Forbes , NPR , and Science Daily . Sheremeta teaches courses on negotiation, managerial economics, behavioral economics, game theory, and microeconomics . He received the Weatherhead Emerging Impact Award twice (2015, 2019) and maintains an average teaching evaluation of 4.9/5.0 . Additionally, he founded American University Kyiv during wartime and actively advocates for Ukraine through social media and humanitarian efforts.