The aim of this wiki is to help foster impactful research to tackle
the climate crisis, by identifying problems where ML can be useful . This wiki is maintained and moderated by members of [https://www.climatechange.ai/about CCAI].
The scope of solutions to address
the climate crisis goes far beyond the intersection we address here ; the problems of climate change require cooperation between diverse stakeholders, and action in many forms. Whether you are a machine learning researcher looking to apply your skills to combat climate change, or a young researcher aiming to have impact in your career, or a practitioner in one of these areas looking to apply ML to your problem, or for any other reason you are interested in the intersection of climate change and ML, we hope these pages can help inform and facilitate your research!
We welcome your contributions and feedback!
See editing guidelines [ [Guidelines|here]].
=== Quick start ===
*[[General Resources]] page
*[https://arxiv.org/abs/1906.05433 Tackling Climate Change with Machine Learning] review paper
=== Topics by Application Area===
*[[Climate Science|Climate science]]
*[[Climate Change Adaptation|Climate change adaptation]]
*[[Solar Geoengineering|Solar geoengineering]]
====Tools for Action====
*[[Public Policy and Decision Science|Public policy and decision science]]
*[[Climate and Environmental Economics]]
*[[Climate Finance|Climate finance]]