Fwd: ICML 2021 Climate Change and Machine Learning: Call for submissions and mentorship program
Piero Poccianti
Da: Hari Prasanna Das <hp...@berkeley.edu>
Date: dom 18 lug 2021 alle ore 22:21
Subject: Re: ICML 2021 Climate Change and Machine Learning: Call for submissions and mentorship program
To: compsustne...@cornell.edu <compsustne...@cornell.edu>
Dear CompSust Community,
We would be grateful if you could share the following information about this upcoming workshop with your network.
The workshop "Tackling Climate Change with Machine Learning" at the International Conference on Machine Learning (ICML) 2021 will be held virtually on Friday, July 23rd, from 8:00-19:00 ET / 12:00-23:00 UTC.
Highlights include:
Keynote talks from: Kate Marvel (NASA), Shakir Mohamed (DeepMind), Solomon Assefa (IBM Research Africa), and Draguna Vrabie (PNNL)
89 research posters from a wide array of fields at the intersection of climate change and ML, 13 of which are highlighted for spotlight talks.
Two expert panel discussions:
(i) Designing projects and finding collaborators in climate change and ML
(ii) Monitoring and mitigation of emissions in line with Paris Agreement targets
Interactive poster sessions (via Gather.town) for discussions and networking with authors, speakers, organizers, and other participants.
While the entire workshop will be live-streamed for free, we hope you will register to get the full benefits of the workshop (including the ability to attend poster sessions and ask questions during the live Q&A). General registration is USD 100, dropping to USD 25 for students. (This registration also grants full access to the rest of ICML 2021, which is one of the world’s largest machine learning research conferences.)
Climate Change AI can offer a limited number of registration grants to those who may require financial assistance to cover the cost of the ICML 2021 registration fee. Please apply here if you are interested: https://forms.gle/xxcg5nzvYqkZ7TGK6
For more information, a full event schedule, and info about the free live-stream, please visit the workshop page at: https://www.climatechange.ai/events/icml2021
Feel free to reach out to us at climatechang...@gmail.com for more information or with any questions.
We hope to see you virtually on July 23rd!
Hari Prasanna Das
On behalf of the organizers,
Hari Prasanna Das (UC Berkeley), Katarzyna (Kasia) Tokarska (ETH Zurich), Maria João Sousa (IST, ULisboa), Meareg Hailemariam (DAUST), David Rolnick (Mila, McGill), Xiaoxiang Zhu (TU Munich), Yoshua Bengio (Mila, UdeM)
Dear CompSust Community,--Hope you are doing well.
We at Climate Change AI are organizing an workshop at the intersection of climate change and machine learning at the International Conference on Machine Learning (ICML), one of the top conferences on ML. We invite researchers from this community to submit their relevant works. Please find details for the workshop below.Best wishes,Hari==========================================================Tackling Climate Change with Machine LearningWorkshop at International Conference on Machine Learning (ICML 2021)Virtual: July 23rd or 24th, 2021Submission deadline: May 31stMentorship application deadline: April 28thWe 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:
