PIGT

Policy Innovations for a Green Transition (PIGT) - combining policy theory with Al algorithms to explain and predict policy change in the sectors of minerals, energy, and forests.

This project recognizes the pressing need for policy innovations enabling the green transition and sets out to explain and predict policy change. The aim is to learn about how different factors, for example transformative events, policy learning, and negotiations, shape the public policy process, and further to identify indicators for when a policy change will take place. Social science methods are combined with Al algorithms and natural language processing models to analyse stability and change in Swedish policies for minerals, energy, and forest across the last 30 years. The project will contribute with novel empirical insights on policy dynamics in the studied sectors, develop new methods at the intersect of policy sciences and Al, and finally, generate state-of­-the-art knowledge about drivers and obstacles to policy change and innovations needed for a more sustainable future.