CEDAR email: Meeting Announcement: “Machine learning techniques for near Earth space science (GH)” at the upcoming URSI-NRSM 2024 conference

[Harid, Vijay]

Dear Colleagues,


We would like to invite the community to submit an abstract to the special session (GH) “Machine learning techniques for near Earth space science” at the upcoming URSI-NRSM conference, which will be held in Boulder, CO January 9-13, 2024.



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.



The deadline for abstract submissions is September 13, 2023. More information is available at https://www.nrsmboulder.org<https://www.nrsmboulder.org/>



We look forward to seeing you in Boulder!



Best Regards,



Session Co-Chairs: Vijay Harid and Xiangning Chu

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