TY  - JOUR
A1  - Kuhlmann, Sabine
A1  - Franzke, Jochen
A1  - Dumas, Benoit Paul
T1  - Technocratic Decision-Making in Times of Crisis?
BT  - the use of data for scientific policy advice in Germany's COVID-19 management
JF  - Public Organization Review
N2  - 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.
KW  - Data utilization
KW  - Scientific policy advice
KW  - Data culture
KW  - Data literacy;
KW  - COVID-19 crisis
Y1  - 2022
U6  - https://doi.org/10.1007/s11115-022-00635-8
SN  - 1566-7170
SN  - 1573-7098
VL  - 22
IS  - 2
SP  - 269
EP  - 289
PB  - Springer
CY  - Dordrecht
ER  -