Computational Political Science for Democracy Working Group

Computational Political Science for Democracy Working Group

Computational WG
Thu
Sep
25
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.
CochairsMichael Coppedge and Dmitry Zaytsev
Graduate Assistant: Gessica de Freitas

In collaboration with the Lucy Family Institute for Data & Society