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Tackling Climate Change with Machine Learning

David Rolnick, Priya L. Donti, Lynn H. Kaack

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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

2019 · arXiv

Machine learningEconomics
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From the 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.

Metadata: arXiv. Abstracts retain their original authors’ rights.

In the conversation

Original HN comments, with labels from simple text rules. A label describes the whole comment and may miss context or irony. Read the discussion to make up your own mind. About the labels

10 selected excerpts · 10 total mentions

querez
Neutral mention · rule
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, because the green-field low-hanging fruit of yesteryear is over (and has been over for a while). Sure, you can learn some AI and then look for climate-applications[0], but then again, why not enter that field as a software engineer in the first place. Learning AI and is just an unnecessary detour if you want to end up in climate change. [0] https://arxiv.org/abs/1906.05433
Original comment Ask HN: Working in tech for climate?
martincollignon
Neutral mention · rule
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 Tomorrow [1] that integrates with services (Uber, Instacart, etc) to calculate your personal CO2 emissions. They need help to get more of these integrations and more CO2 models. Consider giving a hand to them or other projects like this one [2]. [0] https://arxiv.org/abs/1906.05433 [1] https://www.tmrow.com/ [2] https://openclimatefix.github.io/
Original comment The poisons released by melting Arctic ice
martincollignon
Neutral mention · rule
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 called Tomorrow [1] that integrates with services (Uber, Instacart, etc) to calculate your personal CO2 emissions. They need help to get more of these integrations and more CO2 models. Consider giving a hand to them or other projects like this one [2]. [0] https://arxiv.org/abs/1906.05433 [1] https://www.tmrow.com/ [2] https://openclimatefix.github.io/
Original comment Cement Produces More Pollution Than All the Trucks in the World
martincollignon
Neutral mention · rule
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 more integrations to their app to calculate people's personal CO2 emissions. [0] https://arxiv.org/abs/1906.05433 [1] https://www.tmrow.com/
Original comment Temperature changes around the world – 1901-2018
martincollignon
Neutral mention · rule
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 help on these integrations and CO2 models, but there are other projects like this one [2] or this one [3]. [0] https://arxiv.org/abs/1906.05433 [1] https://www.tmrow.com/ [2] https://openclimatefix.github.io/ [3] http://pangeo.io
Original comment AI could help fight climate change
martincollignon
Neutral mention · rule
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 app to calculate people's personal CO2 emissions. [0] https://arxiv.org/abs/1906.05433 [1] https://www.tmrow.com/
Original comment Climate Change Library

Keep following the thread.

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