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<div>Dear AQ Cluster members: We will hold our monthly <span class="gmail-il">Cluster</span> meeting this Thursday, 25 May, 4-5 PM US Eastern. <br></div><div><br></div><div>The planned agenda:</div><div><br></div><div>* Introductions/round robin</div><div><br></div><div>* Further planning for the now-confirmed Air Quality <span class="gmail-il">Cluster</span> session at the upcoming July 2023 <span class="gmail-il">ESIP</span> Summer Meeting. Meeting info at:</div><div><br></div><div><a href="https://www.esipfed.org/meetings" target="_blank">https://www.esipfed.org/meetings</a></div><div><br></div><b><i>The working title for the session is: "</i></b>Workshop: How Can Large Language Models and Chat Tools
Help Communities Find, Access, Understand, and Act Upon Air Quality
Information?"<span></span>
<div><br></div><div><font style="color:rgb(255,0,0)" size="4">Draft session information is appended below.</font> This is subject to refinement based on group input.<br></div><div><br></div><div><b>Zoom Link for 5/25 meeting:</b></div>
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<p><a href="https://us02web.zoom.us/j/89875556681?pwd=eGNaRzMrdmRTZHJlWFFYc3R4MEduQT09" target="_blank">https://us02web.zoom.us/j/89875556681?pwd=eGNaRzMrdmRTZHJlWFFYc3R4MEduQT09</a></p>
<p>Meeting ID: 898 7555 6681</p>
<p>Passcode: 347067</p>
<p>One tap mobile<br>+13017158592,,89875556681# US (Washington DC)<br>+19292056099,,89875556681# US (New York)</p>
<p>Dial by your location<br> +1 301 715 8592 US (Washington DC)<br> +1 929 205 6099 US (New York)<br> +1 312 626 6799 US (Chicago)<br> +1 346 248 7799 US (Houston)<br> +1 669 900 6833 US (San Jose)<br> +1 253 215 8782 US (Tacoma)<br>Meeting ID: 898 7555 6681<br>Find your local number: <a href="https://us02web.zoom.us/u/kxoTYGQn3" target="_blank">https://us02web.zoom.us/u/kxoTYGQn3</a></p>
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<div><a href="https://www.google.com/calendar/event?eid=NDdjYXZiMWFucmthNHBxZmJqdDczbzdpMW1fMjAyMzAzMjNUMjAwMDAwWiBzYjljbm1ha25xcHNpZnM3dHRuOWtzb2J1MEBn&ctz=America/New_York" target="_blank">See more details</a></div><div><br></div><div>Cheers,</div><div><br></div><div>Steve Young</div><div>EPA (retired) and <span class="gmail-il">ESIP</span> <span class="gmail-il">AQ</span> <span class="gmail-il">Cluster</span> Co-chair</div><div>703.966.2966</div><div><br></div><div># # #</div><div><br></div><div>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif">Session Title<span></span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif">Workshop: How Can Large Language Models and Chat Tools
Help Communities Find, Access, Understand, and Act Upon Air Quality
Information?<span></span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif">Session Description<span></span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif">The ESIP Air Quality Cluster is prototyping a Community
Air Quality Toolkit to help communities jumpstart efforts to address their air
quality concerns. The Cluster has identified available information resources,
questions community members ask, and micro-use-cases. With current excitement
about Large Language Models and chatbot tools, we see potential to apply these
capabilities to the AQ domain.<span></span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif">This session will be a workshop format, with small groups
trying out example community questions and AI resources. We aim to identify
what works, what doesn’t work, issues, and opportunities for further progress.
Groups will report out on their experiences and we will synthesize a short
report with conclusions and highlights of areas that need further work.<span></span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif">We hypothesize that the new AI capabilities can play an
important role in opening doors to open AQ science that may be difficult
otherwise for communities to find, access, and use.<span></span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif">Session Purpose<span></span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif">ESIP has supported the work of the AQ Cluster for years.
We believe there are compelling new opportunities to demonstrate how the
emerging AI technologies can help communities. This workshop can help
accelerate informed adoption that leads to better public health.<span></span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif">Outcomes/Goals<span></span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif">We aim to tap into the collective brainpower of
participants to try out a set of tools and document our findings. We will
report out on what we discovered in the interactive groups and make
recommendations for further work to capitalize on the emerging capabilities
while avoiding pitfalls. We expect participants to gain new insights into using
LLM/Chatbots in an important environmental science domain.<span></span></p>
<p class="gmail-MsoNoSpacing" style="margin:0in;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
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