Zurich Participatory Budgeting Digital Voting Experiment

This release contains the dataset from the study Designing Digital Voting Systems for Citizens: Achieving Fairness and Legitimacy in Participatory Budgeting. The experiment, conducted in March 2023 with 180 participants from ETH Zurich and the University of Zurich, explores how different voting input formats and aggregation methods (Greedy and MES) affect citizens' perceptions of fairness and trustworthiness in Participatory Budgeting (PB).

The dataset includes:

Voting data across six formats (A-F).

Participants' perceptions of fairness and voting ease.

Responses to simulated voting outcomes.

This research is part of a Swiss National Science Foundation (SNSF) project (NRP 77 Digital Transformation, project no. 187249). 

Citation:

If you use the data, please cite the study as follows:

Joshua C. Yang, Carina I. Hausladen, Dominik Peters, Evangelos Pournaras, Regula Hänggli Fricker, and Dirk Helbing. 2024. Designing Digital Voting Systems for Citizens: Achieving Fairness and Legitimacy in Participatory Budgeting. ACM Digital Government: Research and Practice. https://doi.org/10.1145/3665332