Technocratic Decision-Making in Times of Crisis? The Use of Data for Scientific Policy Advice in Germany's COVID-19 Management

被引：13

作者：

Kuhlmann, Sabine ^{[1
]}

Franzke, Jochen ^{[1
]}

Dumas, Benoit Paul ^{[1
]}

机构：

[1] Univ Potsdam, Fac Econ & Social Sci, August Bebel Str 89,Bldg 7, D-14482 Potsdam, Germany

来源：

PUBLIC ORGANIZATION REVIEW | 2022年 / 22卷 / 02期

关键词：

Data utilization; Scientific policy advice; Data culture; Data literacy; COVID-19; crisis; KNOWLEDGE;

D O I：

10.1007/s11115-022-00635-8

中图分类号：

C93 [管理学]; D035 [国家行政管理]; D523 [行政管理]; D63 [国家行政管理];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ; 1204 ; 120401 ;

摘要：

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.

引用

页码：269 / 289

页数：21

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