SOURCE-LINKED INTELLIGENCE
Managing Performative Science
lly in the social realm, they can also influence their targets a capacity that is called performativity. By influencing policy making and individual behavior, models from economics, epidemiology, or machine learning increasingly perform the social world in significant ways. This development should be of utmost importance to philosophers, for two reasons: First, performativity can impair scientific prediction and explanation. If, for instance, a model of the spread of COVID-19 predicts many deaths, people might reduce their social contacts in response, which may in turn lead to the predicted events not coming about! How should we evaluate such a prediction, and how should scientists deal with these effects? Second, the development raises difficult ethical questions about the legitimacy of science guiding human affairs, and the values that are implicit in this process. Should we welcome sciences increasingly practical role in shaping policy-making and individual behavior? Or should we regard such influence as manipulative, potentially undermining democratic decision making? These are
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1499520
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.