AI-Powered Climate Lobbying Database
Automating Text Extraction, Network Graphs, and Policy Position Analysis

16 June 2025
Project Summary
This project develops an AI-powered platform to enhance transparency in climate lobbying by automating the extraction, classification, and visualisation of stakeholder positions on climate policy. Using fine-tuned Large Language Models (LLMs), the platform will analyse public data to categorise lobbying stances (e.g., “oppose,” “promote”) and map organisational affiliations, including indirect influence networks. It will support global coverage through multilingual capabilities and dynamic network graphs, offering real-time insights for researchers, policymakers, NGOs, and journalists. The platform builds on the team’s expertise in climate lobbying analysis and leverages UCL’s high-performance computing to fine-tune LLMs on a dedicated corpus of lobbying texts. Collaborating with partners like InfluenceMap and the Sustainable Consumption Institute, the project combines political science, data science, and climate policy research. By illuminating opaque lobbying dynamics, it empowers stakeholders to hold organisations accountable and align interests with net-zero goals, contributing to more effective and equitable climate action.