This report explores successful policy and funding models for AI in science from across Europe and proposes recommendations to create an enabling environment for AI in science innovation.
This thematic report illustrates how diverse policy and legal measures (including incentives to implement the European Charter for Researchers) can enhance the attractiveness of research careers by balancing national policy direction with institutional autonomy.
The thematic report explores the challenges and opportunities in developing, attracting, and retaining AI talent in science across Europe.
This thematic report explores the issues of trust in, and governance of Science-for-Policy ecosystems. It makes the case for making Science-for-Policy credible, responsive and with anticipatory capacity.
This thematic report comprises an analysis of national strategies and policies for fostering AI in science infrastructure, current challenges, and policy suggestions.
How well do science-for-policy ecosystems function as a whole? This report explores how data and insights can assess individual elements, such as funders or advisory bodies, while also evaluating overall system performance. By examining capacities, outcomes, and trade-offs, it sheds light on strengths, weaknesses, and the impact of different approaches to evidence-informed policymaking.
This report, explores enabling conditions for attractive R&I systems and balanced talent circulation, presenting policies at system, institutional, and individual levels. Policy options and national experiences are examined to inform the MLE’s mutual learning process.
The report addresses key concepts, existing regulations, policies, and support measures, lessons learned, and good practices on skills and intersectoral, interdisciplinary, and interoperable careers.
This thematic report focuses on the role of science advice in policymaking. By analysing key characteristics of actors, functions and roles, competencies and skills, and incentives it aims to support the description and analysis of national science-for-policy (S4P) ecosystems.
This report explores fostering knowledge-sharing within Science for Policy (S4P) actors, placing S4P within the broader context of knowledge-for-policy (K4P). It introduces key knowledge management concepts and discusses how a knowledge-based approach can shape S4P ecosystems and improve scientific policy advice.