- Policymakers face challenges in navigating a fragmented landscape of policy evidence from various sources, hindering innovation and learning.
- The project aims to create AI-powered tools that help synthesize extensive policy and academic literature for better-informed policy design.
- A digital tool will be developed with core features: search for efficient document scanning, synthesis for visual summaries, and simulation for testing policy interventions.
- Current AI synthesis tools are limited in openness, transparency, and specificity; the new tool addresses these gaps.
- Collaboration and best practices will be emphasized as the project seeks to enhance AI-driven policy innovation through user research and community engagement.