Tackling Climate Change with Machine Learning
Computers and Society
2019-11-06 v2 Artificial Intelligence
Machine Learning
Machine Learning
Abstract
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change.
Cite
@article{arxiv.1906.05433,
title = {Tackling Climate Change with Machine Learning},
author = {David Rolnick and Priya L. Donti and Lynn H. Kaack and Kelly Kochanski and Alexandre Lacoste and Kris Sankaran and Andrew Slavin Ross and Nikola Milojevic-Dupont and Natasha Jaques and Anna Waldman-Brown and Alexandra Luccioni and Tegan Maharaj and Evan D. Sherwin and S. Karthik Mukkavilli and Konrad P. Kording and Carla Gomes and Andrew Y. Ng and Demis Hassabis and John C. Platt and Felix Creutzig and Jennifer Chayes and Yoshua Bengio},
journal= {arXiv preprint arXiv:1906.05433},
year = {2019}
}
Comments
For additional resources, please visit the website that accompanies this paper: https://www.climatechange.ai/