Background: Evidence-based policymaking is a paradigm aimed at increasing the use of evidence by actors involved in policymaking processes. The COVID-19 pandemic highlighted a heavy reliance on emerging evidence for policymaking during emergencies.
Objective: This study describes the focus and types of evidence in journal articles self-described as relevant to policymaking using the COVID-19 pandemic as a case study, identifying gaps in evidence and highlighting author stated perceived biases specifically in evidence-based policy making.
When evidence-based policymaking is so often mired in disagreement and controversy, how can we know if the process is meeting its stated goals? We develop a novel mathematical model to study disagreements about adequate knowledge utilization, like those regarding wild horse culling, shark drumlines and facemask policies during pandemics. We find that, when stakeholders disagree, it is frequently impossible to tell whether any party is at fault. We demonstrate the need for a distinctive kind of transparency in evidence-based policymaking, which we call transparency of reasoning.
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