Difference between revisions of "Welcome to the Climate Change AI Wiki"
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The aim of this wiki is to help foster impactful research to tackle the climate crisis, by identifying problems where ML can be useful. 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. But whether you are machine learning researcher looking to apply your skills to combat climate change, a young researcher aiming to have impact in your career, a practitioner in one of these areas looking to apply ML to your problem, or for any other reason 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]].
▲=== General resources ===
*[[General Resources]] page
*[https://arxiv.org/abs/1906.05433 Tackling Climate Change with Machine Learning] review paper
*[[Electricity Systems|Electricity systems]]
*[[Forestry and Other Land Use|Forestry and other land use]]
*[[Negative Emissions Technologies|
*[[Climate Science|Climate science]]
*[[Solar Geoengineering|Solar geoengineering]]
*[[Public Policy and Decision Science|Public policy and decision science]]
*[[Tools for Individuals|Tools for individuals]]
▲=== Topics organized by Cross-cutting Theme ===
=== Topics organized by Machine Learning Area ===
Here pages are organized by the area or type of machine learning research. If you are an ML researcher in one of these areas, this provides a quick way to see which problems of climate change potentially best align with your expertise.
* [[Uncertainty quantification and Bayesian methods]]
* [[Unsupervised and Self-supervised learning]]