ML Anthology

Participatory Budgeting: Data, Tools and Analysis

Piotr Faliszewski, Jaroslaw Flis, Dominik Peters, Grzegorz Pierczynski, Piotr Skowron, Dariusz Stolicki, Stanislaw Szufa, Nimrod Talmon
IJCAI 2023 pp. 2667-2674
doi:10.24963/IJCAI.2023/297 /ijcai/2023/faliszewski2023ijcai-participatory/

Abstract

We provide a library of participatory budgeting data (Pabulib) and open source tools (Pabutools and Pabustats) for analysing this data. We analyse how the results of participatory budgeting elections would change if a different selection rule was applied. We provide evidence that the outcomes of the Method of Equal Shares would be considerably fairer than those of the Utilitarian Greedy rule that is currently in use. We also show that the division of the projects into districts and/or categories can in many cases be avoided when using proportional rules. We find that this would increase the overall utility of the voters.

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Cite

Text

Faliszewski et al. "Participatory Budgeting: Data, Tools and Analysis." International Joint Conference on Artificial Intelligence, 2023. doi:10.24963/IJCAI.2023/297

Markdown

[Faliszewski et al. "Participatory Budgeting: Data, Tools and Analysis." International Joint Conference on Artificial Intelligence, 2023.](https://mlanthology.org/ijcai/2023/faliszewski2023ijcai-participatory/) doi:10.24963/IJCAI.2023/297

BibTeX

@inproceedings{faliszewski2023ijcai-participatory,
  title     = {{Participatory Budgeting: Data, Tools and Analysis}},
  author    = {Faliszewski, Piotr and Flis, Jaroslaw and Peters, Dominik and Pierczynski, Grzegorz and Skowron, Piotr and Stolicki, Dariusz and Szufa, Stanislaw and Talmon, Nimrod},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {2667-2674},
  doi       = {10.24963/IJCAI.2023/297},
  url       = {https://mlanthology.org/ijcai/2023/faliszewski2023ijcai-participatory/}
}