Tackling Climate Change with Machine Learning at NeurIPS 2023

Many in the ML community wish to take action on climate change, but are unsure of the pathways through which they can have the most impact. This workshop highlights work that demonstrates that, while no silver bullet, ML can be an invaluable tool in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. Climate change is a complex problem, for which action takes many forms – from theoretical advances to deployment of new technology. Many of these actions represent high-impact opportunities for real-world change, and are simultaneously interesting academic research problems.

This workshop is part of the Conference on Neural Information Processing Systems (NeurIPS) 2023 in New Orleans, Louisiana, United States. This iteration of the workshop is focused on the theme of blending new and existing knowledge systems to invite and inspire submissions that consider how a machine learning advancement can leverage and integrate existing knowledge. While this theme is broad, and most ML applications to climate change are relevant, the theme is non-binding, and all potential submissions are welcome.