Managing Performative Science
The project aims to explore the concept of performativity in science, assessing its impact on predictions and ethical implications, while providing guidance for managing its influence on policy and behavior.
Projectdetails
Introduction
Scientific models often do more than predict or explain. Especially 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.
Importance of the Development
This development should be of utmost importance to philosophers, for two reasons:
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Impairment of Scientific Prediction:
- 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?
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Ethical Questions:
- 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 science’s increasingly practical role in shaping policy-making and individual behavior?
- Or should we regard such influence as manipulative, potentially undermining democratic decision making?
Philosophical Questions and Practical Import
These are difficult philosophical questions, but they also have significant practical import. Yet the philosophy of science hasn’t so far provided guidance on how performative science might be evaluated and managed. MAPS will close this lacuna.
Core Aims of the Project
The core aims of the project are:
- To develop a novel understanding of what performativity is and can do, by closely following scientific practice.
- To understand the intricate relationship between science’s epistemic and performative roles, and to assess the ethical risks of performativity.
- To provide orientation to philosophers and practitioners for how to assess and manage performative science.
Conclusion
By integrating insights from scientific practice with philosophical assessment, the project will establish performativity management as a central theme of philosophical inquiry.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.499.520 |
Totale projectbegroting | € 1.499.520 |
Tijdlijn
Startdatum | 1-2-2024 |
Einddatum | 31-1-2029 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVERpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Model Transfer and its Challenges in Science: The Case of Economics
This project investigates the transfer of models across biology, medicine, and economics to enhance understanding of scientific progress and improve model-based research methodologies.
A Post Growth Deal
This project aims to develop frameworks for sustainable post-growth policies and provisioning systems that enhance human well-being within planetary boundaries through empirical research and community engagement.
Building models of, with and for sustainability transformations
TRANSMOD aims to enhance sustainability transformations by integrating interdisciplinary analysis of natural resource governance and food systems, using simulation modeling and empirical research to understand complex dynamics.
Collective Adaptation
This project aims to develop a scientific paradigm for studying collective adaptation by integrating cognitive and social processes through computational models and empirical data to address societal challenges.
Machine learning in science and society: A dangerous toy?
This project evaluates the epistemic strengths and risks of deep learning models as "toy models" to enhance understanding and trust in their application across science and society.