2026-05-01T02:09:21Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

82db4b6563237bbadb7eaf219deef6530e1cdde2c08285c53ddc44bc7046c2e6 2025-12-08T01:46:56Z language:enopenaire_data

Interview data on "Mobility- and behaviour-based early-warning system after the first wave of COVID-19" Interview data on "Mobility- and behaviour-based early-warning system after the first wave of COVID-19" doi:10.17026/DANS-Z3C-54EQeasy-dataset:257114 F.A. Metz 2022-06-15 DANS Data Station Social Sciences and Humanities 2023-12-31 Social SciencesCOVID-19evidence-based policymakingpolicy advisory processcrisis managementmathematical modellinguncertaintyDutch Safety Regions <p>During the COVID-19 pandemic infectious disease models have increasingly guided policy, but also fueled a discussion about the role of models in policymaking. Little is known about how policymakers and public administrations deal with model uncertainties and related ambiguities. In contrast to the widely stated evidence-policy gap, the article argues that evidence-based policymaking is a collaborative effort shared among different roles in the policy advisory process. Whether projections guide policy depends on trustful relationships among those producing scientific knowledge and those translating it to political action. We conducted in-depth interviews with employees working along the policy advisory process in the case of Dutch regional public entities of disaster- and crisis response. Results reveal task-sharing among highly specialized roles. Knowledge producers tend to use model results and are more concerned with questions of uncertainties than those focusing on policy implications. Trustful relationships with advisors impact whether models are considered by policymakers.</p>Date: 2022-09-21 https://ssh.datastations.nl/oai doi:10.17026/DANS-Z3C-54EQ 2025-12-03T01:00:37Z ddi:codebook:2_5