District-Fair Participatory Budgeting

Authors

  • D Ellis Hershkowitz Carnegie Mellon University
  • Anson Kahng Carnegie Mellon University
  • Dominik Peters Harvard University
  • Ariel D. Procaccia Harvard University

Keywords:

Social Choice / Voting

Abstract

Participatory budgeting is a method used by city governments to select public projects to fund based on residents' votes. Many cities use participatory budgeting at a district level. Typically, a budget is divided among districts proportionally to their population, and each district holds an election over local projects and then uses its budget to fund the projects most preferred by its voters. However, district-level participatory budgeting can yield poor social welfare because it does not necessarily fund projects supported across multiple districts. On the other hand, decision making that only takes global social welfare into account can be unfair to districts: A social-welfare-maximizing solution might not fund any of the projects preferred by a district, despite the fact that its constituents pay taxes to the city. Thus, we study how to fairly maximize social welfare in a participatory budgeting setting with a single city-wide election. We propose a notion of fairness that guarantees each district at least as much welfare as it would have received in a district-level election. We show that, although optimizing social welfare subject to this notion of fairness is NP-hard, we can efficiently construct a lottery over welfare-optimal outcomes that is fair in expectation. Moreover, we show that, when we are allowed to slightly relax fairness, we can efficiently compute a fair solution that is welfare-maximizing, but which may overspend the budget.

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Published

2021-05-18

How to Cite

Hershkowitz, D. E., Kahng, A., Peters, D., & Procaccia, A. D. (2021). District-Fair Participatory Budgeting. Proceedings of the AAAI Conference on Artificial Intelligence, 35(6), 5464-5471. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/16688

Issue

Section

AAAI Technical Track on Game Theory and Economic Paradigms