The Distortion of Public-Spirited Participatory Budgeting
Authors: Mark Bedaywi, Bailey Flanigan, Mohamad Latifian, Nisarg Shah
AAAI 2025 | Venue PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | While Protocol 3 may be impractical in the worst case, we provide empirical evidence that in realistic PB elections, even Protocol 3 would require voters to rank less than m bundles (Section 6). Figure 1: The number of bundles rank-b(EB) asks voters to rank, per alternative, in 1244 instances ordered by quantile. |
| Researcher Affiliation | Academia | 1University of Toronto 2Harvard University 3University of Edinburgh EMAIL, EMAIL, EMAIL, EMAIL |
| Pseudocode | No | The paper describes algorithms and protocols in text format but does not include any clearly labeled pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide an explicit statement about releasing code, nor does it provide a link to a code repository. It mentions 'Details on data and implementation, plus some supplemental results, are found in the full version' in Section 6, but this is not a direct statement about code availability for their methodology. |
| Open Datasets | Yes | in 1244 real PB elections from https://pabulib.org |
| Dataset Splits | No | The paper mentions using '1244 real PB elections from https://pabulib.org (with some randomized imputation of incomplete preferences)' but does not provide specific details on how the dataset was split into training, validation, or test sets for experimental reproducibility, nor does it mention cross-validation or specific seeds for splitting. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used for running experiments. |
| Software Dependencies | No | The paper does not provide specific names or version numbers of any software libraries, frameworks, or tools used for implementation. |
| Experiment Setup | No | The paper mentions 'some minor heuristic tweaks that maintain constant distortion' for its empirical evaluation in Section 6, but it does not provide specific details on these tweaks, other hyperparameters, or system-level training settings needed to reproduce the experiment. |