Queried is a research tool developed by Climate Policy Radar, a not-for-profit organization focused on advancing climate policy through open data and AI tools. Queried uses generative AI to assist users in analyzing climate law and policy documents. Using Large Language Models (LLMs), the tool allows users to query specific documents and receive responses based on the content. The tool is built on data from the Climate Change Laws of the World database, this database includes laws and policies on energy, transport, land use, climate resilience, and low-carbon transitions, and is continuously updated with data from official government websites and parliamentary records. Queried aims to help governments, researchers, and other stakeholders access and analyze climate policy documents, supporting their efforts to understand climate-related laws and policies.
Observatory of Examples of How Open Data and Generative AI Intersect
A growing observatory of examples of how open data from official sources and generative artificial intelligence (AI) are intersecting across domains and geographies.
Share your project for inclusion. We seek to learn from generative AI initiatives that use open government and research data across a Spectrum of Scenarios. More information on each scenario can be found in our report: A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI.