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Integrating Paths: Enhancing Deliberative Democracy Through Collective Intelligence Insights

Author

Listed:
  • Mikko Rask

    (Centre for Consumer Society Research, University of Helsinki, 00014 Helsinki, Finland)

  • Bokyong Shin

    (Centre for Consumer Society Research, University of Helsinki, 00014 Helsinki, Finland)

Abstract

This literature review critically examines the potential of collective intelligence (CI) to enhance theories of deliberative democracy and participatory governance through academic discourse. We employed PRISMA guidelines for systematic article selection, complemented by a narrative approach for in-depth thematic analysis and supplemented by quantitative methodologies such as Sankey diagrams and keyness analysis. Reviewing 61 scholarly articles focusing on CI within the public sector, this study identifies theoretical insights that could significantly impact the field of democratic innovations and participatory governance. Our analysis reveals that CI methodologies can make governance more inclusive and dynamic by integrating advanced digital tools that foster broader and more effective citizen participation. We conclude that integrating CI with deliberative democracy and participatory governance theories holds substantial promise for developing more responsive and adaptive governance models. Future research should focus on measuring deliberative quality in real time, deploying CI tools to empower underrepresented groups and address specific governance challenges, and examining CI’s ethical and social implications, especially concerning privacy, security, and power dynamics in technology-driven public decision-making.

Suggested Citation

  • Mikko Rask & Bokyong Shin, 2024. "Integrating Paths: Enhancing Deliberative Democracy Through Collective Intelligence Insights," Societies, MDPI, vol. 14(12), pages 1-27, December.
    • Handle: RePEc:gam:jsoctx:v:14:y:2024:i:12:p:270-:d:1546284
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    References listed on IDEAS

    as
    1. Tom Christensen & Per Lægreid, 2011. "Complexity and Hybrid Public Administration—Theoretical and Empirical Challenges," Public Organization Review, Springer, vol. 11(4), pages 407-423, December.
    2. Jawad Haqbeen & Sofia Sahab & Takayuki Ito & Paola Rizzi, 2021. "Using Decision Support System to Enable Crowd Identify Neighborhood Issues and Its Solutions for Policy Makers: An Online Experiment at Kabul Municipal Level," Sustainability, MDPI, vol. 13(10), pages 1-34, May.
    3. Rafał Olszowski & Marcin Chmielowski, 2020. "Collective Intelligence in Polish-Ukrainian Internet Projects. Debate Models and Research Methods," Future Internet, MDPI, vol. 12(6), pages 1-20, June.
    4. Gianluca Elia & Alessandro Margherita & Claudio Petti, 2020. "Building responses to sustainable development challenges: A multistakeholder collaboration framework and application to climate change," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2465-2478, September.
    5. Buhmann, Alexander & Fieseler, Christian, 2023. "Deep Learning Meets Deep Democracy: Deliberative Governance and Responsible Innovation in Artificial Intelligence," Business Ethics Quarterly, Cambridge University Press, vol. 33(1), pages 146-179, January.
    6. G. Fabiola Safonte & Claudio Bellia & Pietro Columba, 2021. "Commoning of territorial heritage and tools of participated sustainability for the production and enhancement of agro-environmental public goods," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-20, December.
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