New Gerrychain Data Resource Available

IMD Affiliate Ellen Veomett and her students have made a data resource for running gerrychain  freely available at https://github.com/eveomett-states. Gerrychain is a Python library that can run a Markov Chain Monte Carlo process to construct an ensemble of potential redistricting maps for the purpose of conducting outlier analysis. Veomett and her students discuss how this resource was created in the article States of Disarray: Cleaning Data for Gerrymandering Analysis. 

In addition, Prof. Veomett has two articles that were recently published on gerrymandering metrics:  Bounds and Bugs: The Limits of Symmetry Metrics to Detect Partisan Gerrymandering and Don’t Trust a Single Gerrymandering Metric.  The Redistricting Data Hub recently asked her to present this work to their stakeholders (which includes staff from the ACLU, NAACP Legal Defense Fund, Southern Poverty Law Center, and other prominent civil rights organizations).