Mixed Voting Rules for Participatory Budgeting

2026-06-22Computer Science and Game Theory

Computer Science and Game Theory
AI summary

The authors study ways to improve decision-making in Participatory Budgeting (PB), where people vote to choose projects to fund. They propose combining different voting methods in sequence, allowing each method to spend part of the budget, which helps balance fairness and overall happiness. They focus on improving a method called MES by adjusting voter budgets based on earlier choices, aiming for better proportional representation. Their theoretical and real-world tests show these mixed methods can better balance fairness and utility than using just one method.

Participatory BudgetingVoting RulesGreedy RuleMethod of Equal Shares (MES)Proportional RepresentationUtilitarian WelfareEJR+ (Extended Justified Representation Plus)Additive Satisfaction FunctionsComputational Social ChoiceMixed-Member Systems
Authors
Anton Baychkov, Markus Brill, Markus Utke
Abstract
Designing and analyzing voting rules for Participatory Budgeting (PB) elections is an active research area in computational social choice. Many PB voting rules aim to optimize a specific objective. For instance, the ubiquitous Greedy rule attempts to maximize utilitarian welfare, while the Method of Equal Shares (MES) aims to achieve proportional representation. However, it is often desirable to achieve good outcomes on multiple objectives rather than a close-to-perfect outcome for one. Inspired by mixed-member systems for parliamentary elections, we introduce mixed voting rules for PB. These are composed of a sequence of two or more rules that can each spend some fraction of the overall budget in order to add projects to the set selected by earlier rules. We develop a theoretical framework for formulating and analyzing mixed PB voting rules, and explore how existing rules can be adapted to this framework. We particularly focus on MES and its potential to address imbalances in representation created by earlier rules. We propose different ways to adjust MES voter budgets based on how satisfied voters are with previously chosen projects, and examine how well the resulting rules approximate well-known proportionality axioms such as EJR+. In particular, we show that one of these methods improves upon a natural proportionality baseline. We also extend our main positive result to general additive satisfaction functions. We complement our theoretical results with an extensive empirical analysis of real-world PB elections. Our experiments show that mixed rules can achieve favorable trade-offs between utilitarian welfare and proportionality. We identify several refinements that further improve their performance, and apply our framework to PB rules beyond Greedy and MES.