BEGIN:VCALENDAR
VERSION:2.0
X-WR-CALNAME;VALUE=TEXT:Measurement of Partisan Segregation for 180 Million U.S. voters using advanced Geospatial Data Science
PRODID:-//Harvard events data//EN
BEGIN:VEVENT
UID:event_1631540_0
SUMMARY:Measurement of Partisan Segregation for 180 Million U.S. voters using advanced Geospatial Data Science
DESCRIPTION:<p>	Presenter: Devika Kakkar</p><p>	Partisan segregation among people has important political and social implications. Historically, measurement of partisan segregation has been limited to large geographic areas since researchers usually relied on analyzing data at aggregated levels. In this work, CGA along with the Department of Government has leveraged advances in geospatial data science to measure partisan segregation down to the level of an individual for 180 million U.S. voters. This presentation will highlight the creation of most detailed metrics to analyze partisanship within small geographic units such as neighborhoods or cities.</p><p>	 </p>
LOCATION:CGA Virtual Forum
STATUS:CONFIRMED
DTSTART:20210630T040000Z
DTEND:20210630T040000Z
END:VEVENT
END:VCALENDAR