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The Science Fiction Science Method

Author

Listed:
  • Iyad Rahwan

    (Max Planck Institute for Human Development - Max-Planck-Gesellschaft)

  • Azim Shariff

    (UBC - University of British Columbia [Canada])

  • Jean-François Bonnefon

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Predicting the social and behavioral impact of future technologies, before they are achieved, would allow us to guide their development and regulation before these im-pacts get entrenched. Traditionally, this prediction has relied on qualitative, narrative methods. Here we describe a method which uses experimental methods to simulate future technologies, and collect quantitative measures of the attitudes and behaviors of participants assigned to controlled variations of the future. We call this method ‘sci-ence fiction science'. We suggest that the reason why this method has not been fully embraced yet, despite its potential benefits, is that experimental scientists may be re-luctant to engage in work facing such serious validity threats as science fiction science. To address these threats, we consider possible constraints on the kind of technology that science fiction science may study, as well as the unconventional, immersive meth-ods that science fiction science may require. We seek to provide perspective on the reasons why this method has been marginalized for so long, what benefits it would bring if it could be built on strong yet unusual methods, and how we can normalize these methods to help the diverse community of science fiction scientists to engage in a virtuous cycle of validity improvement.

Suggested Citation

  • Iyad Rahwan & Azim Shariff & Jean-François Bonnefon, 2025. "The Science Fiction Science Method," Post-Print hal-05273736, HAL.
  • Handle: RePEc:hal:journl:hal-05273736
    DOI: 10.1038/s41586-025-09194-6
    Note: View the original document on HAL open archive server: https://hal.science/hal-05273736v1
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    as
    1. Jacob W. Crandall & Mayada Oudah & Tennom & Fatimah Ishowo-Oloko & Sherief Abdallah & Jean-François Bonnefon & Manuel Cebrian & Azim Shariff & Michael A. Goodrich & Iyad Rahwan, 2018. "Cooperating with machines," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
      • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," TSE Working Papers 17-806, Toulouse School of Economics (TSE).
      • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," IAST Working Papers 17-68, Institute for Advanced Study in Toulouse (IAST).
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    4. Claudia Goldin & Lawrence F. Katz, 2002. "The Power of the Pill: Oral Contraceptives and Women's Career and Marriage Decisions," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 730-770, August.
    5. Chris Bail, 2022. "Social-media reform is flying blind," Nature, Nature, vol. 603(7903), pages 766-766, March.
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    14. Jean-François Bonnefon & Fatimah Ishowo-Oloko & Zakariyah Soroye & Jacob W. Crandall & Iyad Rahwan & Tahal Rahwan, 2019. "Behavioural evidence for a transparency-efficiency tradeoff in human-machine cooperation," Post-Print hal-04121730, HAL.
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    18. repec:hal:journl:hal-01897802 is not listed on IDEAS
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