GRI Faculty Affiliate Tina Eliassi-Rad will discuss the following questions: What is democratic backsliding? What makes a democracy stable? Which processes potentially lead to instability of a democratic system? How can complexity science help us understand and mitigate democratic backsliding? The talk is based on this paper and this paper.
About the Speaker:
Tina Eliassi-Rad is a Professor of Computer Science at Northeastern University in Boston, MA. She is also a core faculty member at Northeastern’s Network Science Institute. Prior to joining Northeastern, Tina was an Associate Professor of Computer Science at Rutgers University; and before that she was a Member of Technical Staff and Principal Investigator at Lawrence Livermore National Laboratory. Tina earned her Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison. Her research is at the intersection data mining, machine learning, and network science. She has over 100 peer-reviewed publications (including a few best paper and best paper runner-up awardees); and has given over 200 invited talks and 14 tutorials.
The event will take place, Friday, February 19, 2021 at 12:00 to 1:15 PM EST. To register, click here.