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reading-group.html
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---
layout: default
title: BAIR Climate Initiative Group meeting
description: The Berkeley AI Research Climate Initiative Group Meeting 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.
custom_css:
- rg
---
<section class="container py-lg-8 gx-lg-8 gx-xl-12 py-md-4">
<div class="content-wrapper">
<h1>BAIR Climate Initiative Group Meeting</h1>
<p>
The Berkeley AI Research Climate Initiative 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.
</p>
<p>
<strong
>Subscribe to our mailing list for reading group announcements or join
our slack channel</strong
>:
</p>
<a
id="join-mailing-list"
target="_blank"
href="https://lists.eecs.berkeley.edu/sympa/subscribe/ai-climate-change"
>Subscribe to Meeting Announcements</a
>
<a
id="join-slack"
target="_blank"
href="https://join.slack.com/t/berkeleyaicli-lv01499/shared_invite/zt-qlbeco8w-5R1~cOBKuTh2cTKkcqvw1w"
>Join Our Slack Channel</a
>
<section>
<h2>Upcoming Meetings</h2>
<p>
We meet every two weeks at a date and time TBD on the 8th floor of
Berkeley Way West. Remote support at
<a href="https://berkeley.zoom.us/my/ritwikgupta"
>https://berkeley.zoom.us/my/ritwikgupta</a
>.
</p>
<a
style="margin: 1rem 0"
id="subscribe-to-gcal"
target="_blank"
href="https://calendar.google.com/calendar/u/0?cid=Y183MDU5NzcyNzNjNjQ4ZDk3Zjk4N2IxMDQwNDNhNDdkNmY2OTc4ZDYzYjZkYWI5MDFkZDBhZWYwYTgwYzFjZjZjQGdyb3VwLmNhbGVuZGFyLmdvb2dsZS5jb20"
>Subscribe to Google Calendar</a
>
<p>
<strong
><a
href="https://docs.google.com/spreadsheets/d/1U9nY3FeXRFkny0xTQ0qKHS7H6mwusmWWG21sb03AZFs/edit?usp=sharing"
>Sign up to present</a
></strong
>
</p>
<iframe
style="margin-top: 1em; width: 100%; height: 40rem"
src="https://docs.google.com/spreadsheets/d/1U9nY3FeXRFkny0xTQ0qKHS7H6mwusmWWG21sb03AZFs/pubhtml#gid=0&single=true&widget=true&headers=false"
></iframe>
<p><strong>Previous speakers</strong></p>
<table>
<tr>
<th>Date</th>
<th>Title</th>
<th>Speaker</th>
</tr>
<tr>
<td>November 28, 2023<br />(5pm PST)</td>
<td>
BenthIQ: A Benthic Classification Model for Reef Restoration (<a
href="https://drive.google.com/file/d/1wG1hl3RTOBwUVefPK0_4DWicg2QVZioY/view?usp=drive_link"
>Recording</a
>)
</td>
<td>
<a href="https://rupakv.com/">Rupa Kurinchi-Vendhan</a>
/ Caltech & Coral Gardeners
</td>
</tr>
<tr>
<td>November 16, 2023<br />(2pm PST)</td>
<td>
Machine Learning on Emerging Satellite Sensing Technologies to
Support Open Source Humanitarian Investigation (<a
href="https://drive.google.com/file/d/14R2gn6FiXX5iAJotjETYFQx3GLdOoYhZ/view?usp=sharing"
>Recording</a
>)
</td>
<td>
<a href="https://www.linkedin.com/in/npatel08/">Dr. Nirav Patel</a>
/ University of Florida & Defense Innovation Unit
</td>
</tr>
</table>
</section>
<section>
<h2>Resources</h2>
<p>
Here's is a small, but powerful, collection of quality meta-resources
for AI + Climate Change:
</p>
<ul>
<li>
<a
href="https://drive.google.com/drive/folders/1BakrG-mqSYsIiym30ivOrAcD0Ol5Z4hT?usp=sharing"
>Google drive</a
>
collection of papers on AI + climate change provided by Ankur Mahesh.
</li>
<li>
<a href="https://climatechange.ai">Climate Change AI</a> - a great
monthly newsletter, twitter account, and fortnightly happy hours.
</li>
<li>
<a href="http://mldata.pangeo.io">Weather and Climate Datasets</a> - a
growing collection of datasets relevant for AI + Climate Change
research.
</li>
</ul>
</section>
<h2>FAQ</h2>
<dl>
<dt>Do I need to be at UC Berkeley to join?</dt>
<dd>
Nope. But our invited presenters, discussions, and collaboration
opportunities will likely focus on UC Berkeley.
</dd>
<dt>Can I present?</dt>
<dd>
Yes! Contact Ritwik Gupta (ritwikgupta at berkeley dot edu) with your
proposed presentation topic.
</dd>
<dt>Who organizes this group?</dt>
<dd><a href="https://ritwikgupta.me">Ritwik Gupta</a>.</dd>
</dl>
</div>
</section>