Climate Policy Radar (CPR) helps people access and understand vast amounts of climate documents: laws, policies, NDCs, corporate transition plans, litigation documents, reports by statutory advisory bodies and industry bodies, and more. This tutorial is a dataset tutorial for:
- its open data: the full text and metadata of all of these documents, which we published open source.
- its 'concept store'. Climate documents are often long and filled with technical jargon. This makes them particularly difficult to analyse. The concept store helps with this, giving users access to a rich web of expert-defined concepts and their relationships.
By linking this expert knowledge of climate change to the extensive curated database of climate documents, we show you how to create a climate policy knowledge graph. This can then be used in turn to analyse the global policy landscape.
After this tutorial you'll be able to download and understand CPR's data (text and concepts), use the structure of our knowledge graph to train some simple but powerful classifiers, and do some introductory analysis of real climate policy documents.
Author(s):
- Kalyan Dutia, Climate Policy Radar, kalyan@climatepolicyradar.org
- Anne Sietsma, Climate Policy Radar, anne@climatepolicyradar.org
- Julie Saigusa, Climate Policy Radar, julie.saigusa@climatepolicyradar.org
- Harrison Pim, Climate Policy Radar, harrison@climatepolicyradar.org
Originally presented at the CCAI Tackling Climate Change with Machine Learning Workshop at NeurIPS 2025.
We recommend executing this notebook in a Colab environment to gain access to GPUs and to manage all necessary dependencies.
Estimated time to execute end-to-end: 30 minutes
Please refer to these GitHub instructions to open a pull request via the "fork and pull request" workflow.
Pull requests will be reviewed by members of the Climate Change AI Tutorials team for relevance, accuracy, and conciseness.
Check out the tutorials page on our website for a full list of tutorials demonstrating how AI can be used to tackle problems related to climate change.
Usage of this tutorial is subject to the MIT License.
Dutia, K., Sietsma, A., Saigusa, J., and Pim, H. (2025). Climate Policy Radar's Open Knowledge Graph [Tutorial]. In Conference on Neural Information Processing Systems. Climate Change AI.
@misc{kdutia2025climatepolicyradar,
title={Climate Policy Radar's Open Knowledge Graph
},
author={Dutia, Kalyan and Sietsma, Anne and Saigusa, Julie and Pim, Harrison},
year={2025},
organization={Climate Change AI},
type={Tutorial},
booktitle={Conference on Neural Information Processing Systems},
howpublished={\url{https://github.com/climatechange-ai-tutorials/climate-policy-radar-knowledge-graph}}
}