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Large Language Models (LLMs) are increasingly expected to handle complex decision-making tasks, yet their ability to perform structured resource allocation remains underexplored. Evaluating their reasoning is also difficult due to data…

Artificial Intelligence · Computer Science 2025-08-11 Sankarshan Damle , Boi Faltings

Participatory budgeting (PB) is a voting paradigm for distributing a divisible resource, usually called a budget, among a set of projects by aggregating the preferences of individuals over these projects. It is implemented quite extensively…

Computer Science and Game Theory · Computer Science 2024-10-29 Gogulapati Sreedurga

Participatory urban planning is the mainstream of modern urban planning and involves the active engagement of different stakeholders. However, the traditional participatory paradigm encounters challenges in time and manpower, while the…

Computation and Language · Computer Science 2024-02-06 Zhilun Zhou , Yuming Lin , Yong Li

Participatory urban planning is the mainstream of modern urban planning that involves the active engagement of residents. However, the traditional participatory paradigm requires experienced planning experts and is often time-consuming and…

Artificial Intelligence · Computer Science 2024-02-28 Zhilun Zhou , Yuming Lin , Depeng Jin , Yong Li

Participatory budgeting (PB) is a democratic process where citizens jointly decide on how to allocate public funds to indivisible projects. This paper focuses on PB processes where citizens may give additional money to projects they want to…

Multiagent Systems · Computer Science 2021-05-03 Jiehua Chen , Martin Lackner , Jan Maly

Participatory Budgeting (PB) offers a democratic process for communities to allocate public funds across various projects through voting. In practice, PB organizers face challenges in selecting aggregation rules either because they are not…

Machine Learning · Computer Science 2024-12-04 Roy Fairstein , Dan Vilenchik , Kobi Gal

We study a generalization of the standard approval-based model of participatory budgeting (PB), in which voters are providing approval ballots over a set of predefined projects and -- in addition to a global budget limit, there are several…

Computer Science and Game Theory · Computer Science 2020-12-10 Pallavi Jain , Krzysztof Sornat , Nimrod Talmon , Meirav Zehavi

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

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

Participatory Budgeting (PB) has evolved into a key democratic instrument for resource allocation in cities. Enabled by digital platforms, cities now have the opportunity to let citizens directly propose and vote on urban projects, using…

Human-Computer Interaction · Computer Science 2024-10-14 Joshua C. Yang , Carina I. Hausladen , Dominik Peters , Evangelos Pournaras , Regula Hänggli Fricker , Dirk Helbing

Participatory Budgeting (PB) is a process in which voters decide how to allocate a common budget; most commonly it is done by ordinary people -- in particular, residents of some municipality -- to decide on a fraction of the municipal…

Multiagent Systems · Computer Science 2021-11-16 Ariel Rosenfeld , Nimrod Talmon

Participatory budgeting (PB) has attracted much attention in recent times due to its wide applicability in social choice settings. In this paper, we consider indivisible PB which involves allocating an available, limited budget to a set of…

Computer Science and Game Theory · Computer Science 2022-07-19 Gogulapati Sreedurga , Yadati Narahari

Participatory budgeting is a democratic approach to deciding the funding of public projects, which has been adopted in many cities across the world. We present a survey of research on participatory budgeting emerging from the computational…

Computer Science and Game Theory · Computer Science 2020-03-03 Haris Aziz , Nisarg Shah

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

Participatory budgeting engages the public in the process of allocating public money to different types of projects. PB designs differ in how voters are asked to express their preferences over candidate projects and how these preferences…

Computer Science and Game Theory · Computer Science 2023-02-28 Roy Fairstein , Gerdus Benadè , Kobi Gal

Designing strategyproof mechanisms for multi-facility location that optimize social costs based on agent preferences had been challenging due to the extensive domain knowledge required and poor worst-case guarantees. Recently, deep learning…

Machine Learning · Computer Science 2025-03-14 Nguyen Thach , Fei Liu , Houyu Zhou , Hau Chan

Participatory Budgeting (PB) is a popular voting method by which a limited budget is divided among a set of projects, based on the preferences of voters over the projects. PB is broadly categorised as divisible PB (if the projects are…

Computer Science and Game Theory · Computer Science 2022-05-02 Gogulapati Sreedurga , Mayank Ratan Bhardwaj , Y. Narahari

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

Mechanism design has long been a cornerstone of economic theory, with traditional approaches relying on mathematical derivations. Recently, automated approaches, including differentiable economics with neural networks, have emerged for…

Machine Learning · Computer Science 2025-02-19 Jiayuan Liu , Mingyu Guo , Vincent Conitzer

A critical factor in the success of decision support systems is the accurate modeling of user preferences. Psychology research has demonstrated that users often develop their preferences during the elicitation process, highlighting the…

Human-Computer Interaction · Computer Science 2024-10-03 Connor Lawless , Jakob Schoeffer , Lindy Le , Kael Rowan , Shilad Sen , Cristina St. Hill , Jina Suh , Bahareh Sarrafzadeh
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