Computational Political Science for Democracy Working Group
Computational Political Science for Democracy Working Group
Thu
Sep
04
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
Roadmap to the main techniques that fall under the heading of "computational methods"
Discussion with:
Valya Kuskova
Professor of the Practice and Associate Director, Lucy Family Institute for Data & Society
Dmitry Zaytsev
Associate Professor of the Practice (SBE & Data Science)