Computer Science > Computers and Society
arXiv:2307.10903 (cs)
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[Submitted on 20 Jul 2023 (v1), last revised 7 Aug 2024 (this version, v2)]
Title:VoteLab: A Modular and Adaptive Experimentation Platform for Online Collective Decision Making
Authors:Renato Kunz,Fatemeh Banaie,Abhinav Sharma,Carina I. Hausladen,Dirk Helbing,Evangelos Pournaras
View a PDF of the paper titled VoteLab: A Modular and Adaptive Experimentation Platform for Online Collective Decision Making, by Renato Kunz and 5 other authors
View PDFHTML (experimental)Abstract:Digital democracy and new forms for direct digital participation in policy making gain unprecedented momentum. This is particularly the case for preferential voting methods and decision-support systems designed to promote fairer, more inclusive and legitimate collective decision-making processes in citizens assemblies, participatory budgeting and elections. However, a systematic human experimentation with different voting methods is cumbersome and costly. This paper introduces VoteLab, an open-source and thoroughly-documented platform for modular and adaptive design of voting experiments. It supports to visually and interactively build reusable campaigns with a choice of different voting methods, while voters can easily respond to subscribed voting questions on a smartphone. A proof-of-concept with four voting methods and questions on COVID-19 in an online lab experiment have been used to study the consistency of voting outcomes. It demonstrates the capability of VoteLab to support rigorous experimentation of complex voting scenarios.
| Subjects: | Computers and Society (cs.CY) |
| Cite as: | arXiv:2307.10903 [cs.CY] |
| (orarXiv:2307.10903v2 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2307.10903 arXiv-issued DOI via DataCite |
Submission history
From: Fatemeh Banaie Heravan [view email][v1] Thu, 20 Jul 2023 14:26:21 UTC (1,999 KB)
[v2] Wed, 7 Aug 2024 15:21:29 UTC (758 KB)
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View a PDF of the paper titled VoteLab: A Modular and Adaptive Experimentation Platform for Online Collective Decision Making, by Renato Kunz and 5 other authors
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