VoteKit: A Python package for computational social choice research
The scholarly study of elections, known as social choice theory, centers on the provable properties of voting rules.Practical work in democracy reform focuses on designing or selecting systems of election to produce electoral outcomes that promote legitimacy and broad-based representation.For instance, the dominant electoral system in the United States is a oneperson-one-vote/winner-take-all system, sometimes known as PSMD (plurality in single member districts); today, there is considerable reform momentum in favor of ranked choice voting because it is thought to mitigate the effects of vote-splitting and to strengthen prospects for minority representation, among other claimed properties. 1 Across the world, systems of election-and prospects for system change-vary substantially.From both a scholarly and a practical perspective, many questions arise about comparing the properties and tendencies of diverse systems of election in a rigorous manner.VoteKit https://github.com/mggg/VoteKit is a Python package designed to facilitate just that kind of analysis, bringing together multiple types of functionality.Users can:
Authors
- Jerry D. Gibson (ORCID: https://orcid.org/0000-0002-9827-1196)
- A.W. Hong
- Moon Duchin (ORCID: https://orcid.org/0000-0003-4498-4067)
- Jennifer Wang
- Christopher Donnay (ORCID: https://orcid.org/0000-0002-4782-124X)
- Zach Glaser
- Malavika Mukundan (ORCID: https://orcid.org/0000-0003-4783-0231)
Institutions
- John Brown University (US)
- Cornell University (US)
- Stanford University (US)
Publication Details
- Journal
- The Journal of Open Source Software
- Published
- 2025-05-15
- DOI
- https://doi.org/10.21105/joss.07477
- Primary Topic
- Social Media and Politics
- Type
- article
- Field-Weighted Citation Impact
- 0.00