ICML 2021 Climate Change and Machine Learning: Call for submissions and mentorship program

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Priya Donti

Apr 25, 2021, 1:25:16 PMApr 25
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Dear colleagues,

Hope you are well. We will be running another workshop on "Tackling Climate Change with Machine Learning" at ICML in July 2021. Please see below for more info on the associated call for submissions and mentorship program (seeking both mentors and mentees). The workshop itself will be virtual, and attendance is open to all; for more information, please see the workshop website: https://www.climatechange.ai/events/icml2021.html


Priya L. Donti
Ph.D. Candidate, Carnegie Mellon
Chair, Climate Change AI
Pronouns: She/her, they/them


Tackling Climate Change with Machine Learning

Workshop at International Conference on Machine Learning (ICML 2021)

Virtual: July 23rd or 24th, 2021

Workshop website: https://www.climatechange.ai/events/icml2021.html

Submission deadline: May 31st

Mentorship application deadline:  April 28th

Contact: climatechang...@gmail.com

Informational webinars: April 23 (1:30 PM ET) and April 27 (9 AM ET) (More info)

We invite submissions of short papers using machine learning to address climate change. All machine learning techniques are welcome, from kernel methods to deep learning. Each submission should clearly illustrate why the application has (or could have) a pathway to impact regarding climate change. We highly encourage submissions that make their data publicly available. 

Submissions are non-archival, and do not preclude future publication.

We strongly encourage authors to consider applying for our mentorship program (applications due April 28th), which will pair authors with mentors having complementary expertise. Applications to participate as a mentor are also open; we invite those from academia, industry, government, and beyond to apply. Please see the workshop website for application instructions and more details on the program. 

Additional details on submissions:

Potential topics for submissions include but are not limited to the following areas of climate change mitigation, adaptation, and climate science: 

  • Agriculture

  • Buildings and cities

  • Behavioral and social science

  • Carbon capture and sequestration

  • Climate modeling

  • Climate finance and economics

  • Climate justice

  • Climate policy

  • Disaster prediction, management, and relief

  • Earth science and monitoring 

  • Ecosystems and natural systems

  • Forestry and other land use

  • Heavy industry and manufacturing

  • Power and energy systems

  • Societal adaptation

  • Transportation

Accepted submissions will be invited to give virtual poster presentations, of which some will be selected for spotlight talks. 

Submissions are limited to 4 pages for the Papers Track (work that is in progress, published, and/or deployed), and 3 pages for the Proposals Track (detailed descriptions of ideas for future work or early-stage results), with additional pages permitted for references and appendices. All submissions *must* explain why the work has (or could have) positive impacts regarding climate change, and why the machine learning methods involved are needed.

We will be holding informational webinars with advice on how to prepare a successful workshop submission, and as an opportunity to ask questions regarding the mentorship program:

  • Friday, April 23rd at 1:30 PM Eastern Time / 6:30 PM London time

  • Tuesday, April 27th at 9:00 AM Eastern Time / 2:00 PM London time / 9:00 PM Beijing Time

Please see the workshop website for further details on the workshop.


Hari Prasanna Das (UC Berkeley)

Kasia Tokarska (ETH Zurich)

Maria João Sousa (IST, ULisboa)

Meareg Hailemariam (DAUST)

David Rolnick (Mila, McGill)

Xiaoxiang Zhu (TU Munich)

Yoshua Bengio (Mila, UdeM)

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