Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting
Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting
Simon Rey, Ulle Endriss, Ronald de Haan
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Main Track. Pages 370-376.
https://doi.org/10.24963/ijcai.2021/52
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.
Keywords:
Agent-based and Multi-agent Systems: Computational Social Choice
Agent-based and Multi-agent Systems: Voting