معرفی
Kevin He is an Assistant Professor of Economics at the University of Pennsylvania's School of Arts and Sciences. He holds a Ph.D. from Harvard University and was a postdoctoral fellow at Caltech. His research focuses on microeconomic theory, behavioral economics, and social learning dynamics, with applications to artificial intelligence, network economics, and experimental methods. He has received the Best Paper Award at ACM EC’21 for his work on Bayesian learning in networks.
Research Interests: His primary areas include behavioral experiments analyzing AI alignment perceptions, the impact of network structures on information aggregation, and the evolution of learning mechanisms in strategic settings. He also explores topics like p-hacking mitigation, dynamic information preferences, and the design of incentive-compatible systems.
Awards:
- Best Paper Award at ACM EC’21 (2021)
Teaching: He has taught advanced courses such as Game Theory and Applications, Topics in Advanced Microeconomic Theory, and Behavioral Economics at both undergraduate and graduate levels.
Labs/Teams: His research often involves interdisciplinary collaborations, particularly with computer scientists and statisticians, to address issues in algorithmic fairness, misinformation dynamics, and learning in complex systems.
