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POLISCI 358: Data-driven Politics

Covers advanced computational and statistical methods for collecting and modeling large-scale data on politics. Topics will include automated and computer-assisted methods for collecting, disambiguating, and merging unstructured data (web-scraping, identity resolution, and record-linkage), database management (SQL, data architecture), data-reduction techniques for measuring the political preferences for large numbers of individuals, topic models applied to political text/speech, and social network analysis for mapping relationships and identifying influential actors.
Terms: not given this year, last offered Spring 2018 | Units: 3-5 | Grading: Letter or Credit/No Credit
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