Video quick keys
Transcript

Have you created a personal profile? sign in or create a profile so that you can create alerts, save clips, playlists and searches.

Length: 0:00

Video Type: Case Study

Add to list Added to list

Transcript

Auto scroll
Summary

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.

locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles