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AI-Powered Climate Lobbying Database

Automating Text Extraction, Network Graphs, and Policy Position Analysis

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16 June 2025

Grant


Grant: Climate Crisis Pump Priming
Year awarded: 2024-25
Amount awarded:  £74,814.77

Academics


  • Dr Nino Jordan, Institute for Sustainable Resources, The Bartlett    
  • Dr David  Coen, Political Science, Social & Historical Sciences

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.

Outputs and Impact


  • Awaiting outputs and impacts