Computational Political Science for Democracy Working Group

Computational Democracy: How Deliberative Technologies Work

Computational WG
Thu
Mar
26
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

Computational Democracy: How Deliberative Technologies Work

Discussion with:
Lisa Schirch
Kellogg Institute Faculty Fellow
Richard G. Starmann, Sr., Professor of the Practice of Peace Studies