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arXiv:1906.05433cs.CY

Tackling Climate Change with Machine Learning

David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio

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.

arXiv comments
For additional resources, please visit the website that accompanies this paper: https://www.climatechange.ai/
Journal reference
DOI
Subjects
cs.CYComputers and Society cs.AIArtificial Intelligence cs.LGMachine Learning stat.MLMachine Learning (Statistics)

On Hacker News

Linked by 6 identifiable commenters in 10 comments across 10 threads, from Jun 2019 to Oct 2022. Found in 13 HN submissions from Jun 2019 to Oct 2022. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments10 threads

  1. Tackling Climate Change with Machine Learning [2019] 1 comment

    • Research paper identifying high impact problems that can be solved by machine learning. Link directly to paper PDF: https://arxiv.org/pdf/1906.05433.pdf

      jingxiangmoView on HNParent context

  2. Ask HN: Working in tech for climate? 1 comment

    • As an AI researcher, I feel like this is misguided advice. The field is overrun with people, and it's almost impossible to make a meaningful dent anymore. Even if you have a group of experienced researchers and large compute reserves, most people are content with chasing SOTAs…

      querezView on HNParent context

  3. Jeff Dean interview: Machine learning trends in 2020 1 comment

    • https://arxiv.org/abs/1906.05433 This paper seems relevant to the climate change part. This is more about what to do rather than technologies.

      summerlightView on HNParent context

  4. Ask HN: What are climate science problems approachable/solvable with AI and ML? 1 comment

    • See this (97 page) review "Tackling Climate Change with Machine Learning": https://arxiv.org/abs/1906.05433 You might also find Bret Victor's "What can a technologist do about climate change?" article interesting - it talks about software other than ML/AI…

      jamessbView on HNParent context

  5. The poisons released by melting Arctic ice 1 comment

    • Great to see more and more climate related posts on HN. Posted this a couple of times already, but I'd encourage everyone to check this paper[0] that recently came out ("Tackling Climate Change with Machine Learning"). Among one of the initiatives mentioned is a startup called…

      martincollignonView on HNParent context

  6. Cement Produces More Pollution Than All the Trucks in the World 1 comment

    • Interesting to see more and more climate related posts on HN. Posted this a couple of times already, but I'd encourage everyone to check this paper[0] that recently came out ("Tackling Climate Change with Machine Learning"). Among one of the initiatives mentioned is a startup…

      martincollignonView on HNParent context

  7. Temperature changes around the world – 1901-2018 1 comment

    • Reading these headlines is pretty depressing. If you want to do something about it, a paper called Tackling Climate Change with Machine Learning[0] just came out, and under Tools for Individuals a startup called Tomorrow[1] is mentioned. They're actively looking for help to get…

      martincollignonView on HNParent context

  8. AI could help fight climate change 1 comment

    • If you have time to dedicate to the fight against climate change, consider reading this paper [0] and start or help out some of the projects mentioned. One example is Tomorrow [1], a startup that tries to calculate your CO2 emisisons based on app integrations and is looking for…

      martincollignonView on HNParent context

  9. Climate Change Library 1 comment

    • If you want to do something about climate change, a paper called Tackling Climate Change with Machine Learning[0] just came out, and under Tools for Individuals a startup called Tomorrow[1] is mentioned. I know they're actively looking for help to get more integrations to their…

      martincollignonView on HNParent context

  10. Ask HN: What can I do to accelerate scientific research? 1 comment

    • I don’t think this is a comprehensive answer, but if you want a nice summary of how climate change might be impacted by ML/DL applications, this is hot off the press: Tackling Climate Change with Machine Learning, https://arxiv.org/abs/1906.05433

      wintercarverView on HNParent context

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