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Participatory technology assessment and the democratic model of the public understanding of science

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  • John Durant

Abstract

It seems that the general public is somewhat disillusioned with science and technology and is demanding greater participation in important decisions as to their application in everyday life. Ideals of equality between scientists and non-scientists and of informed public debate as the preconditions for forging socially sustainable public policies need to be translated into new processes of deliberative democracy. Copyright , Beech Tree Publishing.

Suggested Citation

  • John Durant, 1999. "Participatory technology assessment and the democratic model of the public understanding of science," Science and Public Policy, Oxford University Press, vol. 26(5), pages 313-319, October.
  • Handle: RePEc:oup:scippl:v:26:y:1999:i:5:p:313-319
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    Cited by:

    1. Soni, Anmol, 2018. "Out of sight, out of mind? Investigating the longitudinal impact of the Fukushima nuclear accident on public opinion in the United States," Energy Policy, Elsevier, vol. 122(C), pages 169-175.
    2. Musango, Josephine Kaviti & Ouma-Mugabe, John, 2024. "A generic technology assessment framework for sustainable energy transitions in African contexts," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    3. Attar, Arif & Genus, Audley, 2014. "Framing public engagement: A critical discourse analysis of GM Nation?," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 241-250.
    4. Anthony Dudo & John C Besley, 2016. "Scientists’ Prioritization of Communication Objectives for Public Engagement," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-18, February.
    5. Gregor Wolbring, 2022. "Auditing the ‘Social’ of Quantum Technologies: A Scoping Review," Societies, MDPI, vol. 12(2), pages 1-38, March.
    6. Beatriz Barros & Ana Fernández-Zubieta & Raul Fidalgo-Merino & Francisco Triguero, 2018. "Scientific knowledge percolation process and social impact: A case study on the biotechnology and microbiology perceptions on Twitter," Science and Public Policy, Oxford University Press, vol. 45(6), pages 804-814.
    7. Upasna Sharma & Anna Scolobig & Anthony Patt, 2012. "The effects of decentralization on the production and use of risk assessment: insights from landslide management in India and Italy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1357-1371, November.
    8. Rochelle Deloria & Gregor Wolbring, 2019. "Neuro-Advancements and the Role of Nurses as Stated in Academic Literature and Canadian Newspapers," Societies, MDPI, vol. 9(3), pages 1-32, August.
    9. Qihui Xie & Yanan Xue & Zhuojun Zhao, 2022. "Understanding the Scientific Topics in the Chinese Government’s Communication about COVID-19: An LDA Approach," Sustainability, MDPI, vol. 14(15), pages 1-24, August.
    10. Maria Michali & George Eleftherakis, 2022. "Public Engagement Practices in EC-Funded RRI Projects: Fostering Socio-Scientific Collaborations," Administrative Sciences, MDPI, vol. 12(3), pages 1-25, August.
    11. Mónica García-Melón & Tomás Gómez-Navarro & Hannia Gonzalez-Urango & Carmen Corona-Sobrino, 2022. "Adapting RRI public engagement indicators to the Spanish scientific and innovation context: a participatory methodology based on AHP and content analysis," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1483-1512, December.
    12. A. Russell & Frank Vanclay & Janet Salisbury & Heather Aslin, 2011. "Technology assessment in Australia: the case for a formal agency to improve advice to policy makers," Policy Sciences, Springer;Society of Policy Sciences, vol. 44(2), pages 157-177, June.
    13. Feng-Shang Wu & Hong-Ji Huang, 2024. "Why Do Some Countries Innovate Better than Others? A New Perspective of Science, Technology, and Innovation Policy Regimes and National Absorptive Capacity," Sustainability, MDPI, vol. 16(7), pages 1-30, March.
    14. Tavella, Elena, 2016. "How to make Participatory Technology Assessment in agriculture more “participatory”: The case of genetically modified plants," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 119-126.
    15. Guo, Yue & Ren, Tao, 2017. "When it is unfamiliar to me: Local acceptance of planned nuclear power plants in China in the post-fukushima era," Energy Policy, Elsevier, vol. 100(C), pages 113-125.
    16. Umbrello, Steven & Bernstein, Michael J. & Vermaas, Pieter E. & Resseguier, Anaïs & Gonzalez, Gustavo & Porcari, Andrea & Grinbaum, Alexei & Adomaitis, Laurynas, 2023. "From speculation to reality: Enhancing anticipatory ethics for emerging technologies (ATE) in practice," Technology in Society, Elsevier, vol. 74(C).

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