This symposium, the first in a series of three this semester, explores the convergence among data sciences, network dynamics, and social sciences in studying the evolution of cooperation and segregation. We discuss both basic science and practical challenges, including real-world empirical studies, across a wide range of examples.
9:30 AM Coffee and bagels
10:00 AM Data science at The New York Times
Chris Wiggins, Columbia University and The New York Times
11:30 AM Coffee
12:00 PM Fashion dynamics: Cycles, shocks, and politics
Stefano Ghirlanda, Brooklyn College & The Graduate Center; Stockholm University
1:30 PM Lunch
2:30 PM Agency and structure in the genesis of network segregation
Kevin Lewis, University of California at San Diego
4:00 PM Coffee
4:30 PM Cooperation in complex societies: How do inter-ethnic relationships affect pro-social behavior?
Delia Baldassarri, New York University
Sponsored by the Initiative for the Theoretical Sciences, and by the CUNY doctoral programs in Physics and Biology.