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Related papers: Knapsack Voting for Participatory Budgeting

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The aim of this paper is to introduce models and algorithms for the Participatory Budgeting problem when projects can interact with each other. In this problem, the objective is to select a set of projects that fits in a given budget.…

Computer Science and Game Theory · Computer Science 2024-03-29 Martin Durand , Fanny Pascual

Participatory budgeting, as a paradigm for democratic innovations, engages citizens in the distribution of a public budget to projects, which they propose and vote for implementation. So far, voting algorithms have been proposed and studied…

Multiagent Systems · Computer Science 2024-10-30 Sajan Maharjan , Srijoni Majumdar , Evangelos Pournaras

Participatory budgeting (PB) is a democratic process for allocating funds to projects based on the votes of community members. PB outcomes are commonly evaluated for how they reflect voters preferences (e.g., social welfare) and the extent…

Computer Science and Game Theory · Computer Science 2024-12-03 Roy Fairstein , Reshef Meir , Kobi Gal

Voting methods are instrumental design elements of democracies. Citizens use them to express and aggregate their preferences to reach a collective decision. However, voting outcomes can be as sensitive to voting rules as they are to…

We study a budget aggregation setting where voters express their preferred allocation of a fixed budget over a set of alternatives, and a mechanism aggregates these preferences into a single output allocation. Motivated by scenarios in…

Computer Science and Game Theory · Computer Science 2025-05-12 Ulrike Schmidt-Kraepelin , Warut Suksompong , Markus Utke

In this paper, we study the problem of Participatory Budgeting (PB) with approval ballots, inspired by Multi-Winner Voting schemes. We present generalized preference aggregation methods for participatory budgeting, especially for finding…

Computational Engineering, Finance, and Science · Computer Science 2024-10-10 Rutvik Page , Arnav Doifode , Jitendra Tembhurne , Aishwarya Sagar Anand Ukey

We initiate the study of voting rules for participatory budgeting using the so-called epistemic approach, where one interprets votes as noisy reflections of some ground truth regarding the objectively best set of projects to fund. Using…

Computer Science and Game Theory · Computer Science 2024-09-05 Simon Rey , Ulle Endriss

Participatory budgeting (PB) is a democratic paradigm whereby voters decide on a set of projects to fund with a limited budget. We consider PB in a setting where voters report ordinal preferences over projects and have (possibly) asymmetric…

Computer Science and Game Theory · Computer Science 2020-12-11 Haris Aziz , Barton E. Lee

In participatory budgeting (PB), voters decide through voting which subset of projects to fund within a given budget. Proportionality in the context of PB is crucial to ensure equal treatment of all groups of voters. However, pure…

Computer Science and Game Theory · Computer Science 2025-07-08 Georgios Papasotiropoulos , Seyedeh Zeinab Pishbin , Oskar Skibski , Piotr Skowron , Tomasz Wąs

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…

Computer Science and Game Theory · Computer Science 2021-02-12 D Ellis Hershkowitz , Anson Kahng , Dominik Peters , Ariel D. Procaccia

Participatory Budgeting (PB) is commonly studied from an axiomatic perspective, where the aim is to design procedurally fair and economically efficient rules for voters with full information regarding their preferences. In contrast, we take…

Computer Science and Game Theory · Computer Science 2026-01-28 Qishen Han , Artem Ivaniuk , Edith Elkind , Lirong Xia

The budget is the key means for effecting policy in democracies, yet its preparation is typically an excluding, opaque, and arcane process. We aim to rectify this by providing for the democratic creation of complete budgets --- for…

Computer Science and Game Theory · Computer Science 2018-06-21 Ehud Shapiro , Nimrod Talmon

This paper proposes a voting process in which voters allocate fractional votes to their expected utility in different domains: over proposals, other participants, and sets containing proposals and participants. This approach allows for a…

Social and Information Networks · Computer Science 2025-04-21 Yasushi Sakai , Parfait Atchade-Adelomou , Ryan Jiang , Luis Alonso , Kent Larson , Ken Suzuki

Many societal decision problems lie in high-dimensional continuous spaces not amenable to the voting techniques common for their discrete or single-dimensional counterparts. These problems are typically discretized before running an…

Multiagent Systems · Computer Science 2018-10-30 Nikhil Garg , Vijay Kamble , Ashish Goel , David Marn , Kamesh Munagala

In this survey, we review the literature investigating participatory budgeting as a social choice problem. Participatory Budgeting (PB) is a democratic process in which citizens are asked to vote on how to allocate a given amount of public…

Computer Science and Game Theory · Computer Science 2025-03-14 Simon Rey , Felicia Schmidt , Jan Maly

Rollout algorithms have demonstrated excellent performance on a variety of dynamic and discrete optimization problems. Interpreted as an approximate dynamic programming algorithm, a rollout algorithm estimates the value-to-go at each…

Data Structures and Algorithms · Computer Science 2013-11-27 Andrew Mastin , Patrick Jaillet

Online discussion platforms are a vital part of the public discourse in a deliberative democracy. However, how to interpret the outcomes of the discussions on these platforms is often unclear. In this paper, we propose a novel and…

Computer Science and Game Theory · Computer Science 2024-02-09 Michael Bernreiter , Jan Maly , Oliviero Nardi , Stefan Woltran

In stochastic combinatorial optimization, algorithms differ in their adaptivity: whether or not they query realized randomness and adapt to it. Dean et al. (FOCS '04) formalize the adaptivity gap, which compares the performance of fully…

Data Structures and Algorithms · Computer Science 2026-03-03 Zohar Barak , Inbal Talgam-Cohen

Participatory budgeting is a method of collectively understanding and addressing spending priorities where citizens vote on how a budget is spent, it is regularly run to improve the fairness of the distribution of public funds.…

Multiagent Systems · Computer Science 2025-07-24 Hugh Adams , Srijoni Majumdar , Evangelos Pournaras

We provide a library of participatory budgeting data (Pabulib) and open source tools (Pabutools and Pabustats) for analysing this data. We analyse how the results of participatory budgeting elections would change if a different selection…

Computer Science and Game Theory · Computer Science 2023-05-19 Piotr Faliszewski , Jarosław Flis , Dominik Peters , Grzegorz Pierczyński , Piotr Skowron , Dariusz Stolicki , Stanisław Szufa , Nimrod Talmon