AI for Redistricting

I taught this for the first time in Spring 2024.  Here is an outline of the topics:

• Intro, Shape and population

  • Include graphs and dual graphs

• Metrics: eg, mean median, geo 

• Markov Chains and outlier analysis

  • What are MCs

  • MCs in redistricting: flip, recom 

  • Theory of MCs 

• Data wrangling

• Ecological Inference

• Short bursts

  • With finding VRA districts 

  • With testing metrics

• Extra topics (for example: GEO metric, Declination, the redistricting metagraph, machine learning to measure district compactness . . . )

• Project work