ALARM Project: 'One vote disparity' can be improved with state-of-the-art algorithms

Kosuke Imai; Kento Yamada; Rei Yatsuhashi; Sho Miyazaki

‘One vote disparity’ can be improved with state-of-the-art algorithms

Our article in Nikkei Business on reducing Japanese malapportionment was released!

ALARMプロジェクトは、日経ビジネスの依頼を受け、衆議院の区割り改定案の作成とその分析の記事を寄稿しました。区割りシミュレーションアルゴリズムの活用により、区画審の改定案よりも、市区町村の分割数と一票の格差が少なくなる区割り案が作成できます。https://business.nikkei.com/atcl/gen/19/00351/092100048/

We were invited to contribute to Nikkei Business (Japan)! We show that the SMC redistricting simulation algorithm can be used to reduce malapportionment without splitting more municipalities, when compared to the districting plan proposed by the commission. https://business.nikkei.com/atcl/gen/19/00351/092100048/

Citation

For attribution, please cite this work as

Imai, et al. (2022, Sept. 30). ALARM Project: 'One vote disparity' can be improved with state-of-the-art algorithms. Retrieved from https://alarm-redist.github.io/posts/2022-09-30-nikkei/

BibTeX citation

@misc{imai2022'one,
  author = {Imai, Kosuke and Yamada, Kento and Yatsuhashi, Rei and Miyazaki, Sho},
  title = {ALARM Project: 'One vote disparity' can be improved with state-of-the-art algorithms},
  url = {https://alarm-redist.github.io/posts/2022-09-30-nikkei/},
  year = {2022}
}