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<div>Fellow CEDAR-goers</div>
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<div>Happy holidays! Hoping you're well, all things considered. <br></div>
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<div>We would like to bring to your attention a town hall on machine learning as applied to space physics, to be held at the upcoming AGU meeting.  Details below. We would be delighted to have you join us and enrich the discussion. <br></div>
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<div>Cheers,</div>
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<div>Matthew Argall</div>
<div>Jacob Bortnik <br></div>
<div>Ryan McGranaghan</div>
<div>Viacheslav Sadykov</div>
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<p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:bold;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">What</span></p>
<p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">AGU Town Hall</span></p>
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<p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:bold;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Title</span></p>
<p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">The New Sun-to-Earth Machine Learning Exploratory Committee: Collecting the National Science Foundation Communities for the Application of Machine Learning to Space Physics</span></p>
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<p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:bold;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">When</span></p>
<p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Friday, 11 December, 2020</span></p>
<p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">1:30 -- 2:30 Eastern</span></p>
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<p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:bold;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Link</span></p>
<p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><a href="https://agu.confex.com/agu/fm20/meetingapp.cgi/Session/103176" target="_blank" rel="noopener">https://agu.confex.com/agu/fm20/meetingapp.cgi/Session/103176</a></span></p>
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<p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:bold;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Description</span></p>
<p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#231f20;background-color:#ffffff;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">This Town Hall brings together </span><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">thought-leaders from across the solar-terrestrial spectrum to discuss topics in machine learning and data science. The agenda consists of a distributed tutorial offering lightning talks on the use, needs, and potential for machine learning within space physics; NSF representatives from the Geospace Section and one of NSF’s 10 Big Ideas, Convergence, to provide insights into what is coming from NSF; and a panel discussion for the community to raise critical questions, and express opinions on the most compelling and valued aspects of machine learning.</span></p>
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<p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#231f20;background-color:#ffffff;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">The lightning talk covers topics on machine learning in the space sciences, including:</span><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> 1) Techniques and Strengths; 2) Science Discovery; 3) Handling and Visualizing Data; 4) Data Assimilation; 5) Space Weather Prediction; 6) An Industry Perspective from NVIDIA; and 7) A Community Perspective from a NASA/NSF DRIVE Center.</span></p>
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<p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Scientists in Heliophysics with ties to the SHINE, GEM, and CEDAR communities or with an interest in data science and machine learning are encouraged to attend.</span></p>
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<p><span style="font-weight:400">Lastly, we have prepared this short survey to help shape the panel discussion and plan future efforts:</span></p>
<p><a href="https://docs.google.com/forms/d/e/1FAIpQLSf3UYL_OQpIIQAUEcR74D42xPLib1np0fhR-4llwbQsmma6QA/viewform?usp=sf_link"><span style="font-weight:400">https://docs.google.com/forms/d/e/1FAIpQLSf3UYL_OQpIIQAUEcR74D42xPLib1np0fhR-4llwbQsmma6QA/viewform?usp=sf_link</span></a></p>
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