Helbing, D, Mahajan, S, Fricker, RH et al. (11 more authors) (2023) Democracy by Design: Perspectives for Digitally Assisted, Participatory Upgrades of Society. Journal of Computational Science, 71. 102061. ISSN 1877-7503
Abstract
The technological revolution, particularly the availability of more data and more powerful computational tools, has led to the emergence of a new scientific field called “Computational Diplomacy”. Our work tries to define its scope and focuses on a popular subarea of it, namely “Digital Democracy”. In recent years, there has been a surge of interest in using digital technologies to promote more participatory forms of democracy. While there are numerous potential benefits to using digital tools to enhance democracy, significant challenges must be addressed. It is essential to ensure that digital technologies are used in an accessible, equitable, and fair manner rather than reinforcing existing power imbalances. This paper investigates how digital tools can be used to help design more democratic societies by investigating three key research areas: (1) the role of digital technologies for facilitating civic engagement in collective decision-making; (2) the use of digital tools to improve transparency and accountability in governance; and (3) the potential for digital technologies to enable the formation of more inclusive and representative democracies. We argue that more research on how digital technologies can be used to support democracy upgrade is needed. Along these lines, we lay out a research agenda for the future.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Computational diplomacy, Digital democracy, Participation, Collective intelligence, Value-based engineering |
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 MRC (Medical Research Council) MR/W009560/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Jun 2023 09:40 |
Last Modified: | 06 Jun 2023 09:40 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jocs.2023.102061 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:199954 |