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__NOTOC__
== Welcome to the {{SITENAME}}
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]].
This wiki is maintained and moderated by members of [https://www.climatechange.ai/ CCAI].
Please see the pages below for an overview of topics at the intersection of climate change and machine learning, accompanied by relevant readings, datasets, conferences, and organizations.
=== General resources ===
*[[General Resources]]
*[https://arxiv.org/abs/1906.05433 Tackling Climate Change with Machine Learning] review paper
=== Mitigation ===
*[[Electricity Systems|Electricity systems]]
*[[Transportation]]
*[[Buildings and Cities|Buildings and cities]]
*[[Industry]]
*[[Agriculture]]
*[[Forestry and Other Land Use|Forestry and other land use]]
*[[Negative Emissions Technologies|CO2 removal and negative emissions technologies]]
=== Adaptation ===
*[[Climate Science|Climate science]]
*[[Climate Change Adaptation|Climate change adaptation]]
*[[Biodiversity, Ecosystems, and Conservation|Biodiversity, ecosystems, and conservation]]
*[[Solar Geoengineering|Solar geoengineering]]
=== Tools for Action ===
*[[Policy, Markets, and Decision Science|Policy, markets, and decision science]]
*[[Education]]
*[[Climate Finance|Climate finance]]
*[[Tools for Individuals|Tools for individuals]]
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Revision as of 18:21, 24 September 2020
Welcome to the Climate Change AI Wiki
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 here.
This wiki is maintained and moderated by members of CCAI.
Please see the pages below for an overview of topics at the intersection of climate change and machine learning, accompanied by relevant readings, datasets, conferences, and organizations.
General resources
Mitigation
- Electricity systems
- Transportation
- Buildings and cities
- Industry
- Agriculture
- Forestry and other land use
- CO2 removal and negative emissions technologies
Adaptation
- Climate science
- Climate change adaptation
- Biodiversity, ecosystems, and conservation
- Solar geoengineering