Technocratic Decision-Making in Times of Crisis?
- COVID-19 has demonstrated the importance of data for scientific policy advice. Mechanisms by which data is generated, shared, and ultimately lead to policy responses are crucial for enhancing transparency and legitimacy of decisions. At the same time, the volume, complexity and volatility of data are growing. Against this background, mechanisms, actors, and problems of data-driven scientific policy advice are analysed. The study reveals role conflicts, ambiguities, and tensions in the interaction between scientific advisors and policy-makers. The assumption of a technocratic model, promoted by well-established structures and functioning processes of data-driven government, cannot be confirmed. Reality largely corresponds to the pragmatic model, in parts also the decisionist model, albeit with dysfunctional characteristics.
Author details: | Sabine KuhlmannORCiDGND, Jochen FranzkeORCiDGND, Benoit Paul DumasORCiDGND |
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DOI: | https://doi.org/10.1007/s11115-022-00635-8 |
ISSN: | 1566-7170 |
ISSN: | 1573-7098 |
Title of parent work (English): | Public Organization Review |
Subtitle (English): | the use of data for scientific policy advice in Germany's COVID-19 management |
Publisher: | Springer |
Place of publishing: | Dordrecht |
Publication type: | Article |
Language: | English |
Date of first publication: | 2022/06/10 |
Publication year: | 2022 |
Release date: | 2022/10/12 |
Tag: | COVID-19 crisis; Data culture; Data literacy;; Data utilization; Scientific policy advice |
Volume: | 22 |
Issue: | 2 |
Number of pages: | 21 |
First page: | 269 |
Last Page: | 289 |
Funding institution: | German Federal Ministry of Education and Research |
Organizational units: | Wirtschafts- und Sozialwissenschaftliche Fakultät / Wirtschaftswissenschaften |
DDC classification: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
Peer review: | Referiert |
Publishing method: | Open Access / Hybrid Open-Access |
License (German): | CC-BY - Namensnennung 4.0 International |