We study the effectiveness of evidence-informed policymaking mechanisms from the perspective of policymakers, using the lenses of public administration, public management and (sustainability) governance. After an Introduction (section 1), we discuss mindsets and causality issues (2.1), miscommunication due to parallel discourse models (2.2), organisational conditions to improve science uptake (2.3), and how governance styles show different traditions and values across countries that need to be managed (2.4).
We propose three attributes for effective science to policy systems: science-policy boundary mechanisms, discourse analysis skills, and metagovernance capacity. Section 3 lists 12 additional attributes, based on the 11 UN principles of effective governance for sustainable development. Section 4 suggests a qualitative scoring approach.
Last, section 5 discusses measurement methods and suggests that joint assessment mechanisms might be better. In an example, the added value of a formal indicator is how it triggers structured conversations within a government administration, across different ministries, and between countries, on how to improve performance. We conclude that we may not always need indicators, as we can have fruitful conversations based on the attributes. Combining is an option: running indicator-based assessments every 2-3 years and link them to regular conferences and/or peer learning sessions on science to policy, in and across member states.