<div dir="ltr"><span id="gmail-docs-internal-guid-9ee80d59-7fff-2113-cdf3-9562c58b5231"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">Dear Colleagues,</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">The Machine Learning-based Geospace Environment Modeling (MLGEM) resource group is excited to announce one standalone session for general contributions and two joint sessions exploring magnetosphere-ionosphere coupling research at the upcoming GEM 2026 Workshop, which will be held from July 12-17 in Portland, ME, at the Holiday Inn By the Bay. </span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">Interested speakers are invited to </span><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">submit presentation titles by July 6 </span><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">using the following link:</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><a href="https://forms.gle/EqMbQw33wz1NrmyL7" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://forms.gle/EqMbQw33wz1NrmyL7</span></a><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">. </span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">The session schedule and descriptions are provided below.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">Session 1: Standalone MLGEM Session - General Contributions </span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">July 13, 2026 (Monday, 10:30 AM – 12:00 PM)</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">This session will provide a dedicated forum for researchers to present the latest advances in machine learning applications for geospace and environmental modeling. We encourage submissions covering novel methodologies, scientific discoveries enabled by AI/ML, operational nowcast and forecast models, foundation models, uncertainty quantification, and other emerging machine learning technologies relevant to geospace science.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">Session 2: MLGEM/MPEC/GIC/MAC Joint Session - Presentations</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">July 13, 2026 (Monday, 1:30 PM – 3:00 PM)</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">This joint session will highlight machine learning research relevant to the Magnetosphere-Ionosphere Coupling community. Topics may include the use of AI/ML techniques to investigate coupling processes, improve event detection and prediction, analyze large and complex datasets, enhance scientific understanding, and uncover new insights into the coupled geospace system.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">Session 3: MLGEM/MPEC/GIC/MAC Joint Session  - Discussion </span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">July 15, 2026 (Wednesday, 1:30 PM – 3:00 PM)</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">This interactive discussion session will focus on how artificial intelligence, data analysis, and physics-based modeling interact to support and advance magnetosphere–ionosphere coupling research. We invite modelers, data scientists, and researchers to share perspectives on current challenges and future opportunities.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:11pt;padding:11pt 0pt 0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">Discussion topics include:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.38;margin-top:11pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">ML-based empirical formulations to support geospace modeling</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">Validation and benchmarking of physics-based models with data-driven approaches</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:11pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">Opportunities for community collaboration and shared resources for improving old empirical models/formulations used in physics-based models</span></p></li></ul><p dir="ltr" style="line-height:1.38;margin-top:11pt;margin-bottom:0pt;padding:0pt 0pt 11pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">For colleagues who are unable to attend the workshop in person, a virtual presentation option will be available.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 11pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">We look forward to your contributions and to engaging discussions at GEM 2026.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 11pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">Best regards,</span></p><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 11pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant:normal;vertical-align:baseline;white-space:pre-wrap">Gowtam Valluri, Hyunju Connor, Bashi Ferdousi, Xiangning Chu, Matt Argall.</span></p><br></span></div>