معرفی
Daniel P. Gross is an Associate Professor in the Strategy area at Duke University’s Fuqua School of Business and a Faculty Research Fellow at the National Bureau of Economic Research (NBER). His research focuses on the causes and consequences of technological change, including crisis innovation policy, automation’s impact on labor markets, and the interplay between innovation and entrepreneurship. Gross holds a Ph.D. in Economics from UC Berkeley and has held positions at Harvard Business School and NBER. His work has been funded by the NSF, Sloan Foundation, and Kauffman Foundation.
Education:
- Ph.D. in Economics, University of California, Berkeley (2015)
- B.A. in Mathematics and Economics, Tufts University (2008)
Research Interests: Gross examines historical and modern contexts of technological change, including crisis-driven innovation (e.g., WWII and pandemic responses), automation effects on workers and firms, and policy frameworks for fostering innovation. He frequently uses historical case studies to inform contemporary economic and policy debates.
Key Contributions: His research on WWII-era R&D’s impact on post-war innovation has influenced policy reports like the Economic Report of the President. Notable articles include analyses of telephone operator automation’s labor market effects and critiques of modern innovation policy.
Awards & Recognition:
- Strategy Science conference Best Paper award (2023)
- Management Science Distinguished Service Award (2024)
Grants & Funding: Over $1.2M as PI from NSF, Sloan Foundation, and Duke University, focusing on topics like U.S. scientific training ecosystems and post-WWII innovation legacies.
Labs/Teams: Collaborates with interdisciplinary teams at NBER, Duke, and Harvard on innovation policy, historical economics, and labor market dynamics.
