Berkeley AI + Climate Change

Reading Group

About

The Berkeley AI + Climate Change Reading Group meets every two weeks to discuss research/applications of AI to climate change. The central goal of this group is to learn about real-world, impactful ways that machine learning can be used to address climate change.

Subscribe to our mailing list for reading group announcements or join our slack channel:

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Upcoming Meetings

We meet every two weeks on Tuesday at 5pm PST in the Zoom room http://XYZ.zoom.us/my/coloradoreed where XYZ is replaced with berkeley.

Format: Each meeting begins with 10 minutes of introductions (possible break out groups), followed by a 40 minute presentation, and then 10 minute discussion (possibly in break out groups).

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Add to Other Calendar 05/04/2021 05:00 PM 05/04/2021 6:00 PM America/Los_Angeles Berkeley AI + Climate Change Reading Group http://berkeley.zoom.us/my/coloradoreed The Berkeley AI + Climate Change Reading Group meets every two weeks to discuss research/applications of AI to climate change. The central goal of this group is to learn about real-world, impactful ways that machine learning can be used to address climate change. FREQ=WEEKLY;INTERVAL=2;BYDAY=TU
Date Title Speaker
Dec 14, 2021
(5pm PST)
TBD
Nov 30, 2021
(5pm PST)
MOSAIKS: A generalizable and accessible approach to machine learning with global satellite imagery (slides, publication)
Esther Rolf
Nov 16, 2021
(5pm PST)
No Meeting (CVPR deadline)
Nov 2, 2021
(5pm PST)
Challenges in deep learning: Applications to real-world ecological datasets
Zhongqi Miao
Oct 19, 2021
(5pm PST)
Skilful precipitation nowcasting using deep generative models of radar (DeepMind, 2021, Nature)
Colorado Reed
Oct 5, 2021
(5pm PST)
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
Medhini Narasimhan
Sep 21, 2021
(5pm PST)
xView3 Challenge Discussion
(video)
Ritwik Gupta
July 13, 2021
(5pm PST)
Controllable Generation of Organic Molecules with Transformers
(slides)
Daniel Rothchild
June 29, 2021
(5pm PST)
Computer Vision for Global-Scale Biodiversity Monitoring - Scaling Geospatial and Taxonomic Coverage Using Contextual Clues
(slides)
Sara Beery
June 15, 2021
(5pm PST)
Three climate science research topics that likely require machine-learning for further advancement.
(slides)
Daniel Feldman
June 1, 2021
(5pm PST)
Probabilistic Detection of Atmospheric Rivers Across Climate Datasets and Resolutions with Neural Networks Ankur Mahesh
May 18, 2021
(5pm PST)
MetNet: A Neural Weather Model for Precipitation Forecasting paper
(slides)
Medhini Narasimhan
May 4, 2021
(5pm PST)
Tackling Climate Change with Machine Learning
paper
Bonus: Towards a Collective Agenda on AI for Earth Science Data Analysis paper
(slides)
Colorado Reed

Resources

Here's is a small, but powerful, collection of quality meta-resources for AI + Climate Change:

FAQ

Do I need to be at UC Berkeley to join?
Nope. But our invited presenters, discussions, and collaboration opportunities will likely focus on UC Berkeley.
Can I present?
Yes! Contact Colorado Reed (cjrd at berkeley dot edu) with your proposed presentation topic.
Who organizes this group?
Colorado Reed, Medhini Narasimhan, and Ritwik Gupta.