NeurIPS 2026 Workshop on Tackling Climate Change with Machine Learning

Climate change is a complex, multifaceted, and far-reaching challenge with increasingly severe consequences for humanity, as natural disasters multiply, sea levels rise, and ecosystems falter. Climate action takes many different forms and includes both climate change mitigation, e.g. designing smart electric grids or tracking greenhouse gas emissions through satellite imagery, and climate change adaptation, e.g. building flood resilience. Machine learning is a valuable tool in mitigating and adapting to climate change, and at the same time, climate change has been noted as a valuable area for inspiring the development of cutting-edge machine learning algorithms. However, using machine learning to address climate change requires close interdisciplinary collaboration among various fields with diverse practitioners. This workshop is one of a series of workshops intended to form connections and foster cross-pollination between researchers in machine learning and experts in complementary climate-relevant fields, in addition to providing a forum for those in the machine learning community who wish to tackle climate change.