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This article is aimed at analysing local and intergovernmental responses to the COVID-19 pandemic in Germany during the ‘first wave’ of the pandemic. It will answer the question of how the intergovernmental system in Germany responded to the crisis and to what extent the pandemic has changed patterns of multi-level governance (MLG). The article argues that the coordination of pandemic management in Germany shifted between two ideal types of multi-level governance. While in the first phase of the pandemic the territorially defined multi-level system with the sub-national and local authorities as key actors of crisis management was predominant, in the second phase a more functional orientation with increased vertical coordination gained in importance. Later on, more reliance was given again on local decision-making. Based on this analysis, we will draw some preliminary conclusions on how effective MLG in Germany has been for coordinating pandemic management and point out the shortcomings.
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.