Pete Barbrook-Johnson

Abstract A range of systems mapping approaches are widely used to support the analysis and design of public policy, but can be time and resource intensive to implement. Generative AI tools may be able to streamline the use of systems mapping by helping researchers to quickly synthesise existing data on policy systems, freeing resources to foster greater stakeholder participation and use of maps.

Decision makers need sector-specific, policy-focused, dynamic economic models with rich representations of technological progress. These allow them to understand how the energy transition is likely to unfold with different policies and what its impacts might be. A new generation of models is emerging to meet these demands, but more action is needed.