Recently Published Research:
- Liu, Lu, Benjamin Jones, Brian Uzzi and Dashun Wang. "Data, measurement and empirical methods in the science of science", Nature Human Behavior, June 2023 (PDF VERSION)
- Horvát, Ágnes, Henry Dambanemuya, Jayaram Uparna and Brian Uzzi. "Hidden Indicators of Collective Intelligence in Crowdfunding", WWW '23: Proceedings of the ACM Web Conference 2023, April 2023, Pages 3806–3815,
- Wu, Youyou, Yang Yang and Brian Uzzi. "A discipline-wide investigation of the replicability of Psychology papers over the past two decades", PNAS, 120 (6) e2208863120, January 30, 2023
Recent Media Hits:
Poets&Quants: $25 Million Gift Funds Kellogg’s First-Of-Its-Kind Research Institute For Complex Problems (September 2023)
Kellogg Insight: How AI Can Help Researchers Navigate the “Replication Crisis” (July 2023)
Brian Uzzi is the Richard L. Thomas Professor of Leadership at the Kellogg School of Management, Northwestern University. He also co-directs the Northwestern Institute on Complex Systems (NICO), and holds professorships in Sociology and the McCormick School of Engineering. He has been on or visited the faculties of INSEAD, Chicago, Harvard, and Berkeley. His work has received 17 teaching prizes and 15 scientific research prizes worldwide in the social, physical, and computer sciences.
His research uses social network science and computational methods to explain outstanding human achievement. Media outlets featuring his research include the WSJ, Newsweek, The Economist, The New Yorker, Fortune, other media outlets and TV, and scientific journals in management, physics, ecology, sociology, medicine, economics, psychology, and computer science have covered or published his research. Grants for his research have come from the U.S. government and private agencies.