Computational Political Science for Democracy Working Group

Computational Political Science for Democracy Working Group

Computational WG
Thu
Feb
05
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

Where are they? Using spatial technologies to support the search for missing persons in Mexico

Discussion with:
Jorge Reyes
Kellogg Institute Research Associate

Disappearances committed by state and non-state armed actors have become widespread in Mexico since late 2006 due to the use of armed forces to counter drug-related activities in the country. Consequently, families of missing persons and authorities have conducted search brigades to locate them in different regions.

This session will highlight how the use of spatial technologies has supported families' search strategies in Baja California, Mexico, by developing a spatial approximation that combines spatial statistics with remote sensing methods to pinpoint areas where clandestine graves may be located. This talk will highlight the methods, results, and ethical discussions of implementing these technologies in contexts of human rights violations.