Event Description
Segregation across social groups is an enduring feature of nearly all human societies and is associated with numerous social maladies. In many countries, reports of growing geographic political polarization raise concerns about the stability of democratic governance. This talk will show how advances in spatial data computation was used to measure individual partisan segregation by calculating the local residential segregation of every registered voter in the United States, creating a spatially weighted measure for more than 180 million individuals.
Event Speaker
Ryan Enos, Professor of Government at Harvard University
Event Information
Free and open to the public; registration required. For more information, please visit the event webpage. Hosted by the Data Science Institute.