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Video Type: Case Study

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University of Chicago's Julia Koschinsky, PhD, Executive Director of the Center for Spatial Data Science, and Jamie Saxon, PhD, post doctoral fellow, discuss their research on gerrymandering using spatial data analytics and algorithms, including research applications of spatial data science, relationship between spatial analytics and data science, applying computational methods to spatial analysis, gerrymandering, clustering methodology, data sources, data collection and analysis, advice to a novice in computational social science.

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