Trade-Offs in Fair Redistricting
Maps and Code
This is additional material for the paper Trade-Offs in Fair Redistricting, in the proceedings of AI, Ethics, and Society 2020.
In the paper, we explore empirically the ‘price’ one must pay in terms of the compactness of districts in order to improve the partisan symmetry of a plan (and vice versa) in North Carolina and Pennsylvania. Due to space constraints, we could not include all of the Pareto-optimal plans in the paper itself, so we include them here. There are 13 plans for North Carolina and 25 for Pennsylvania, including the four displayed in the paper. Click a state below to see the plans for that state.
A Jupyter notebook containing a skeleton of the code used to perform the Markov chain Monte Carlo search is [here (nbviewer)].