Shaowei Ke

Shaowei Ke is an Assistant Professor of Economics at the University of Michigan, Department of Economics. He holds a PhD from Princeton University and a bachelor's degree in finance from Tsinghua University. His research focuses on systematic errors in decision-making, game-theoretic applications to organizational structures, and behavioral economic models. Ke examines how cognitive mistakes influence economic outcomes in areas like business decisions, policy design, and social welfare analysis. His work bridges theoretical frameworks with empirical applications, addressing topics ranging from innovation incentives to neural network-based utility models.

Research Interests: Ke’s primary focus is on modeling decision errors and their systemic impacts. He investigates how organizations structure decision-making processes to mitigate errors (e.g., flat vs. hierarchical systems), develops frameworks for understanding behavioral biases in complex environments, and applies machine learning tools to economic decision-making. His interdisciplinary approach integrates game theory, experimental economics, and computational methods.

Publications Trends: Recent work emphasizes behavioral neural networks, multidimensional risk analysis, and intergenerational social discounting. His research often addresses policy-relevant questions such as the effectiveness of innovation incentives and the implications of long-term social welfare calculations. Methodologically, he combines theoretical modeling with empirical analysis, leveraging both experimental and observational data.

Funding & Awards: No specific grants or awards are mentioned in the provided text. Ke’s research is supported through standard academic funding channels associated with his faculty position.

Labs/Teams: No specific lab affiliations are noted, though he likely collaborates with the University of Michigan’s Economics Research Group and participates in institutional initiatives like the Research Seminar in Quantitative Economics.