معرفی
Bo Cowgill is an Assistant Professor at Columbia Business School, specializing in applied microeconomics and strategy. His research focuses on productivity, technological innovation, organizational economics, and platform dynamics. He holds a Ph.D. from UC Berkeley and has received prestigious awards including the Kauffman Junior Faculty Fellowship and the CESifo Prize. His work spans labor markets, AI ethics, algorithmic fairness, and internal talent markets.
Education:
- Ph.D. in Economics, UC Berkeley
Research Interests: Cowgill explores intersections of technology and organizational behavior. Key themes include:
- Algorithmic bias and fairness in hiring
- Internal talent market design
- Impact of AI on workplace dynamics
- Regulatory policies affecting labor markets
Awards:
- Kauffman Junior Faculty Fellowship
- Robert Beyster Fellowship
- CESifo Prize
Advising & Grants: While no advisees are listed, his research often involves field experiments and policy analysis. He has conducted audits on hiring practices and noncompete clauses. His work on geotargeted ads and prediction markets demonstrates interdisciplinary grant-seeking capabilities.
Labs/Teams: Affiliated with Columbia’s Cybersecurity Initiative and Computational Social Science Committee, focusing on tech’s societal impacts.
