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<span style="font-family:Arial, sans-serif;margin:0px;color:black">Dear Colleagues, </span></p>
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<span style="font-family:Arial, sans-serif;margin:0px;color:black">We would like to invite the community to submit an abstract to the special session SS.17 (GH) “<b>Machine learning techniques for near-earth space sciences</b>” at the upcoming<span> </span><span data-markjs="true" class="markjx31y80c5" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">URSI</span>-NRSM
conference, which will be held in Boulder, CO January 10-14, 2023. </span></p>
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<span style="font-family:Arial, sans-serif;margin:0px;color:black">This session seeks contributions from the following topics: ML techniques applied for space weather prediction, studies of the magnetosphere, radiation belts, ionosphere and upper atmosphere.
We welcome contributions with applications to (but not limited to) event detection/extraction, noise reduction, classification, inverse problems, dimensionality reduction, feature engineering/extraction, reinforcement learning, physics-informed machine learning
and ML learned partial differential equations. A combination between ML techniques and physics-based models is also especially welcome. </span></p>
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<span style="font-family:Arial, sans-serif;margin:0px;color:black">The deadline for abstract submissions is<span> </span><b>September 16, 2022<span style="margin:0px;background-color:white">.</span></b><span> </span>More information is available at</span><a href="https://nrsmboulder.squarespace.com/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="0" style="margin:0px"><span style="font-family:Arial, sans-serif;margin:0px;color:black"><span> </span>https://nrsmboulder.squarespace.com/</span></a></p>
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<span style="font-family:Arial, sans-serif;margin:0px;color:black">While USNC-<span data-markjs="true" class="markjx31y80c5" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">URSI</span><span> </span>encourages in-person attendance for
all presenters, a fully-hybrid meeting is being planned to allow for authors to present remotely, and for all attendees to participate fully in the conference.</span></p>
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<span style="font-family:Arial, sans-serif;margin:0px;color:black">We look forward to seeing you in Boulder!</span></p>
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<span style="font-family:Arial, sans-serif;margin:0px;color:black">Best Regards, </span></p>
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<span style="font-family:Arial, sans-serif;margin:0px;color:black">Sessions Co-Chairs: Vijay Harid, Xiangning Chu, and Kshitija Deshpande</span></p>
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<div style="font-family:Helvetica; font-size:13px">--</div>
<div style="font-family:Helvetica; font-size:13px">Kshitija Deshpande, PhD</div>
<div style="font-family:Helvetica; font-size:13px">Associate Professor of Engineering Physics</div>
<div style="font-family:Helvetica; font-size:13px">Department of Physical Sciences</div>
<div style="font-family:Helvetica; font-size:13px">Embry-Riddle Aeronautical University</div>
<div style="font-family:Helvetica; font-size:13px"><span style="font-size:10pt">Phone: (386)226-7515</span></div>
<div style="font-family:Helvetica; font-size:13px"><span style="font-family:Helvetica,serif,EmojiFont; font-size:10pt">Office: COAS 319.01</span><br>
<a href="https://faculty.erau.edu/Kshitija.Deshpande" class="OWAAutoLink">https://faculty.erau.edu/Kshitija.Deshpande</a><br>
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<a href="http://pages.erau.edu/~dbgnss/website_main.php" class="OWAAutoLink"><span style="font-size:9pt">http://pages.erau.edu/~dbgnss/website_main.php</span></a><br>
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