IJCAI 2020poster0 citations

Participatory Budgeting with Project Interactions

Pallavi Jain, Krzysztof Sornat, Nimrod Talmon

Abstract

Participatory budgeting systems allow city residents to jointly decide on projects they wish to fund using public money, by letting residents vote on such projects. While participatory budgeting is gaining popularity, existing aggregation methods do not take into account the natural possibility of project interactions, such as substitution and complementarity effects. Here we take a step towards fixing this issue: First, we augment the standard model of participatory budgeting by introducing a partition over the projects and model the type and extent of project interactions within each part using certain functions. We study the computational complexity of finding bundles that maximize voter utility, as defined with respect to such functions. Motivated by the desire to incorporate project interactions in real-world participatory budgeting systems, we identify certain cases that admit efficient aggregation in the presence of such project interactions.

Agent-based and Multi-agent Systems: Computational Social Choice
BibTeX
@inproceedings{ijcai2020p54,
  title     = {Participatory Budgeting with Project Interactions},
  author    = {Jain, Pallavi and Sornat, Krzysztof and Talmon, Nimrod},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI-20}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Christian Bessiere},
  pages     = {386--392},
  year      = {2020},
  month     = {7},
  note      = {Main track},
  doi       = {10.24963/ijcai.2020/54},
  url       = {https://doi.org/10.24963/ijcai.2020/54},
}
Participatory Budgeting with Project Interactions · IJCAI 2020