Computational Political Science for Democracy Working Group
Computational Political Science for Democracy Working Group
Mon
Apr
27
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
Forecasting Shifts in Democratic Governance: A Review of the Democratic Space Barometer Project
Discussion with:
Andreas Beger
Data Scientist