Postdoc, Princeton DDSS.
PhD '25 Government @harvard.edu.
Studies redistricting with #rstats.
https://christophertkenny.com/
Chris Kenny, PhD
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Check it all out at christophertkenny.com/atlas. More details explained in the data and methodology sections of the website!
Chris Kenny, PhD
The new algorithm works well with an existing “short-burst” concept for drawing optimized plans. This powers the simulated gerrymanders in the atlas, for both seat maximizing and safe seat maximizing.
3/3 In a second new paper, I extend a standard MCMC algorithm for sampling redistricting plans to redraw more than 2 districts at a time. Random sampling has become the standard way to detect gerrymanders.
osf.io/preprints/so...
You can explore it here: christophertkenny.com/atlas. The heatmaps are reminiscent of 538's old redistricting atlas.
Is air formatting broken for tribbles at the moment? It seems to be inserting spaces inconsistently, almost at-random
3 new projects:
1/3 an Algorithmic Redistricting Atlas.
Explore congressional redistricting across enacted, simulated, and optimized maps. It has data for the last 5 presidential elections, and you can swing the national baseline.
I assemble precinct-level returns from the last five presidential elections and combine them with nonpartisan simulations. 2008 voters give Democrats around 203 seats, while 2024 voters would split the House about evenly, absent gerrymandering.
This data powers the atlas. Original data sources:
2/3 Republicans have had a built-in edge in the House for years from the asymmetric geographic sorting of Democrats and Republicans. In a new paper, I show that edge has steadily declined and largely disappeared by 2024.
osf.io/preprints/so...
