Hänggli, R, Pournaras, E and Helbing, D (2021) Human-centered Democratic Innovations with Digital and Participatory Elements. In: DG.O2021: The 22nd Annual International Conference on Digital Government Research. DG.O'21: The 22nd Annual International Conference on Digital Government Research, 09-11 Jun 2021, Omaha, Nebraska, USA (Online). Association for Computing Machinery , pp. 227-233. ISBN 978-1-4503-8492-6
Abstract
This paper discusses digital and/or participatory elements that could be used in decision-making processes, such as a participatory budgeting process. It contributes to the discussion about innovations in democracy. Placing humans at the center of governance, we argue that innovative elements should be evaluated by addressing the topic from the perspective of what is “good” for human beings? The process is good for them if it achieves goals like legitimacy and connection. We identify design of decision-making, participatory elements, and the value of personal interaction as levers. Regarding design of decision making, we discuss voting mechanisms, the combination of different decisions, and interdependent decisions in terms of each voter's choice optimality. In terms of participation, we see potential for blocked situations, for self-organized or requested (opt-in) participation, and for urgent or uncertain situations. Third, we emphasize the value of coming together in reality, and suggest thinking about combining digital and physical elements in a useful way. Technical aspects, power, and the existing institutional setting are identified as restrictions, and research into the effects of all these elements on the dependent variables, such as legitimacy and connection, is needed.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number Swiss National Science Foundation Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Aug 2021 15:33 |
Last Modified: | 12 Aug 2021 14:30 |
Status: | Published |
Publisher: | Association for Computing Machinery |
Identification Number: | 10.1145/3463677.3463708 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:176973 |