Identify climate change problems where existing gaps can be filled by machine learning.
https://arxiv.org/pdf/1906.05433v2.pdf
Highlights Industry ML demonstrates considerable potential for reducing industrial GHG emissions under the following circumstances.
when there is enough accessible, high-quality data around specific processes or transport routes. when firms have an incentive to share their proprietary data and/or algorithms with researchers and other firms. When aspects of production or shipping can be readily fine-tuned or adjusted, and there are clear objective functions.
