# Redistricting Algorithms

arXiv: https://arxiv.org/abs/2011.09504 · HTML: https://mlsanity.com/paper/2011.09504/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Nov 2020.

## Built on by (most cited first, 3 of 3)

- [Redrawing attendance boundaries to promote racial and ethnic diversity in elementary schools](https://mlsanity.com/paper/2303.07603/) (2023)
- [Memetic algorithms for Spatial Partitioning problems](https://mlsanity.com/paper/2208.02867/) (2022)
- [Merging public elementary schools to reduce racial/ethnic segregation](https://mlsanity.com/paper/2502.10193/) (2025)

## Abstract (arXiv)

Why not have a computer just draw a map? This is something you hear a lot when people talk about gerrymandering, and it's easy to think at first that this could solve redistricting altogether. But there are more than a couple problems with this idea. In this chapter, two computer scientists survey what's been done in algorithmic redistricting, discuss what doesn't work and highlight approaches that show promise. This preprint was prepared as a chapter in the forthcoming edited volume Political Geometry, an interdisciplinary collection of essays on redistricting. (https://mggg.org/gerrybook)