Published January 1, 2022
| Version v1
Conference paper
Open
Science in Public Debate in Times of Crisis
Description
Determining when a scientific discipline is ready to inform policy is knotty. To add to this complexity, criteria for determining whether the knowledge is robust enough vary depending on the issues. Nonetheless, a London School of Economics study found that more and more governments are turning to science to inform public policy. In times of crisis, the need for insight is exceptionally pressing. Yet evidence-based policymaking is even more difficult when there is little data and little time to gather it.
During the COVID-19 pandemic, the scientific community was called upon to contribute to the rapid understanding and treatment of the crisis, at the risk of doing hasty work. Faced with this tremendous challenge, what pitfalls did they fall into? Under what conditions can research usefully inform public debate and help political decision-making? Studies referenced on the World Pandemic Research Network (WPRN) outline many avenues for reflection.
Memorandum 14 : overview of the studies and projects registered on WPRN database
This article was originally published in French.
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Additional details
References
- OECD. (2017). Behavioural Insights and Public Policy: Lessons from Around the World (p. 408 p.) [Techreport]. OECD. https://www.oecd.org/gov/regulatory-policy/behavioural-insights-and-public-policy-9789264270480-en.htm
- Hahn, U., Chater, N., Lagnado, D., Osman, M., & Raihani, N. (2020). Why a Group of Behavioural Scientists Penned an Open Letter to the U.K. Government Questioning Its Coronavirus Response. In Behavioral Scientist. https://behavioralscientist.org/why-a-group-of-behavioural-scientists-penned-an-open-letter-to-the-uk-government-questioning-its-coronavirus-response-covid-19-social-distancing/
- Hahn, U., Lagnado, D., Lewandowsky, S., & Chater, N. (2020). Crisis knowledge management: Reconfiguring the behavioural science community for rapid responding in the Covid-19 crisis. In PsyArXiv Preprints. https://doi.org/10.31234/osf.io/hsxdk