Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting

Open Access
Authors
Publication date 2021
Host editors
  • Z.-H. Zhou
Book title Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Book subtitle IJCAI 2021, virtual event : Montreal, 19-27 August 2021
ISBN (electronic)
  • 9780999241196
Event 30th International Joint Conference on Artificial Intelligence
Pages (from-to) 370-376
Publisher International Joint Conferences on Artificial Intelligence
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
We introduce an end-to-end model for participatory budgeting grounded in social choice theory. Our model accounts for the interplay between the two stages commonly encountered in real-life partici- patory budgeting. In the first stage participants pro- pose projects to be shortlisted, while in the second stage they vote on which of the shortlisted projects should be funded. Prior work of a formal nature has focused on analysing the second stage only. We in- troduce several shortlisting rules for the first stage and analyse them in both normative and algorith- mic terms. Our main focus is on the incentives of participants to engage in strategic behaviour during the first stage, in which they need to reason about how their proposals will impact the range of strate- gies available to everyone in the second stage.
Document type Conference contribution
Language English
Published at https://doi.org/10.24963/ijcai.2021/52
Downloads
0052 (Final published version)
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