Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Evidence-based policy is a concept in public policy that advocates for policy decisions to be grounded on, or influenced by, rigorously established objective evidence. This concept presents a stark contrast to policymaking predicated on ideology, 'common sense,' anecdotes, or personal intuitions. The approach mirrors the effective altruism movement's philosophy within governmental circles. The methodology employed in evidence-based policy often includes comprehensive research methods such as randomized controlled trials (RCT). Good data, analytical skills, and political support to the use of scientific information are typically seen as the crucial elements of an evidence-based approach. The effectiveness of evidence-based policy hinges upon the presence of quality data, proficient analytical skills, and political backing for the utilization of scientific information. While proponents of evidence-based policy have identified certain types of evidence, such as scientifically rigorous evaluation studies like randomized controlled trials, as optimal for policymakers to consider, others argue that not all policy-relevant areas are best served by quantitative research. This discrepancy has sparked debates about the types of evidence that should be utilized. For example, policies concerning human rights, public acceptability, or social justice may necessitate different forms of evidence than what randomized trials provide. Furthermore, evaluating policy often demands moral philosophical reasoning in addition to the assessment of intervention effects, which randomized trials primarily aim to provide. In response to such complexities, some policy scholars have moved away from using the term evidence-based policy, adopting alternatives like evidence-informed. This semantic shift allows for continued reflection on the need to elevate the rigor and quality of evidence used, while sidestepping some of the limitations or reductionist notions occasionally associated with the term evidence-based.
Jeffrey Huang, Simon Elias Bibri
David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic, Jonathan Dan, Jérôme Paul Rémy Thevenot