Computational Political Science for Democracy Working Group
Computational Political Science for Democracy Working Group
Thu
Nov
20
The Computational Political Science for Democracy (AIPoliS) working group brings together faculty, scholars, and students to use computational methods for studying and improving democracy. We focus on combining political science, AI, and data science to develop new theories and tools.
Cochairs: Michael Coppedge and Dmitry Zaytsev
Graduate Assistant: Gessica de Freitas
In collaboration with the Lucy Family Institute for Data & Society
Cochairs: Michael Coppedge and Dmitry Zaytsev
Graduate Assistant: Gessica de Freitas
In collaboration with the Lucy Family Institute for Data & Society
Patronage Power-Sharing and Rebel Group Splintering
Presentation by:
Matt Hauenstein
Assistant Professor for Research
Lucy Family Institute for Data & Science