Recent political campaigns have dramatically demonstrated the power of data analysis and social network analysis for politics. Mathematical tools – such as machine learning, network analysis, topic modeling and Bayesian methods – are expected to have significant impact on a variety of political questions such as predicting voting results, decision making and redistricting. This workshop will bring together researchers and practitioners from mathematics, statistics, computer science, electrical engineering, political science and other fields to collectively address the emerging area of mathematics for politics.
Jacob Foster
(University of California, Los Angeles (UCLA))
Vwani Roychowdhury
(University of California, Los Angeles (UCLA))
Don Saari
(University of California, Irvine (UCI))
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