Faculty DirectoryBrian Uzzi
Richard L. Thomas Professor of Leadership and Organizational Change and (by courtesy) Industrial Engineering & Management Sciences
ContactJacobs Center, Room 355
Evanston, IL 60208-3109
Email Brian Uzzi
PhD, 1994, Sociology, State University of New York, Stony Brook
MA, 1991, State University of New York, Stony Brook
MS, 1989, Organizational Psychology, Carnegie-Mellon University
BA, 1982, Business Economics, Hofstra University
Brian Uzzi is a globally recognized scientist, teacher, consultant and speaker on leadership, social networks, and big data. He is the Richard L. Thomas Professor of Leadership and Organizational Change at the Kellogg School of Management, and professor of sociology and professor of engineering at the McCormick School of Engineering. At Northwestern, he is also codirector of NICO, the Northwestern Institute on Complex Systems and the director of the Kellogg Architectures of Collaboration Initiative (KACI). Besides his positions at Kellogg, he has been on the faculties of Harvard University, INSEAD, University of Chicago, and the University of California of Berkeley where he was the Warren E. and Carol Spieker Professor of Leadership. He has been awarded 13 teaching prizes and 12 scientific research prizes worldwide.
Liu, Bin, Govindan Ramesh and Brian Uzzi. 2016. Do Emotions Expressed Online Correlate with Actual Changes in Decision-Making?: The Case of Stock Day Traders. PLoS ONE. DOI:10.1371/journal.pone.0144945
Romero, Daniel, Brian Uzzi and Jon Kleinberg. 2016. Social Networks Under Stress. Proceedings of the 25th International World Wide Web Conference.
Romero, Daniel, Roderick I. Swaab, Adam D. Galinsky and Brian Uzzi. 2015. Mimicry is Presidential: Linguistic Style Matching in Presidential Debates and Improved Polling Numbers. Personality and Social Psychology Bulletin. 41(10): 1311-1319.
Soderstrom, Sara, Brian Uzzi, Derek D. Rucker, James Fowler and Daniel Diermeier. Forthcoming. Timing Matters: Social Influence Effects on the Adoption of Innovations over their Life Cycle. Sociological Science.
Mukherjee, Satyam, Brian Uzzi, Ben Jones and Michael Stringer. 2015. A New Method for Combining Prior Work into New, High Impact Innovations: The Case of Science and Technology. Journal of Innovation and Product Management. doi: 10.1111/jpim.12294
Saavedra, Serguei, Rudolf Rohr, Michael R.R. Schnabel, Brian Uzzi and Jordi Bascompte. 2014. Stock fluctuations are correlated and amplified across networks of interlocking directorates. EPJ Data Science.
Uzzi, Brian, Satyam Mukerjee, Michael Stringer and Ben Jones. 2013. Atypical Combinations and Scientific Impact. Science. 342: 468-472.