معرفی
Brian Uzzi holds the Richard L. Thomas Professorship of Leadership and Organizational Change at Northwestern University's Kellogg School of Management. He serves as Co-Director of the Northwestern Institute on Complex Systems (NICO) and The Ryan Institute on Complexity (RIC), with additional appointments in Sociology at Weinberg College of Arts and Sciences and Industrial Engineering and Management Sciences at McCormick School of Engineering.
His educational background includes a PhD in Sociology (1994) from State University of New York, Stony Brook, an MS in Organizational Psychology (1989) from Carnegie Mellon University, and a BA in Business Economics (1982) from Hofstra University. Prior to academia, he worked as a carpenter and musician.
Research Focus: Dr. Uzzi's work centers on social networks, complexity theory, and the concept of embeddedness—the idea that individuals and organizations operate within social networks that significantly influence their achievements, economic activity, and creative output. His research examines how AI facilitates mind-machine partnerships and how network structures affect scientific collaboration, innovation, and leadership. His work spans sociology, management science, computer science, and ecology, with practical applications in business and government.
His recent publications reveal a strong focus on the science of science, exploring topics like innovation abandonment, social media's role in political violence, promotional language in scientific grants, and gender diversity's impact on scientific creativity. The research consistently applies network science to understand patterns of human achievement and organizational performance.
- Euler Award recipient (2022) from the Network Science Society
- Member of the American Academy of Arts and Sciences
- Network Science Society Fellow
- Multiple 'Professor of the Year' awards at Kellogg
- World Wide Web Best Paper Prize (2016-2017)
As an educator, Dr. Uzzi has developed innovative courses on network science for managers and executives. His consulting work extends to companies and governments worldwide, applying network science principles to real-world challenges in leadership, organizational design, and AI strategy. His research has been funded by DARPA, NSF, and other foundations, demonstrating its significance across multiple disciplines.
