Omnisci

Measurement of partisan segregation for 180 million U.S. voters using advanced geospatial data science

Partisan segregation among people has important political and social implications. Historically, such measurements have been limited to county levels but this innovative work enabled Harvard researchers to analyze partisanship down to the level of individuals for the first time. In this work, CGA along with the Department of Government Professor Ryan Enos and graduate student Jacob Brown have leveraged advances in geospatial data science to measure partisan segregation down to the...

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