************************************************************************ IERS Message No. 506 July 22, 2024 ************************************************************************ Session "Applications of AI/ML in Geodesy" at AGU 2024 Dear all, We are excited to announce a new session titled "Applications of AI/ML in Geodesy" at AGU24. Link to session description and abstract submission: https://agu.confex.com/agu/agu24/prelim.cgi/Session/225476 If you are interested in submitting an abstract, please note the deadline on Wednesday, 31 July, 2024. Best regards, Steven Nerem, Jade Morton, Benedikt Soja (G004 convener team) Session description: Artificial intelligence and machine learning have become important tools for understanding patterns and signals in large volumes of data, and so it is natural that these techniques are beginning to be applied to analyze geodetic data. This session seeks talks on a broad variety of applications of AI/ML in geodesy including earth surface, natural hazard and climate change monitoring. AI/ML is exceptionally suited for tackling challenges such as pattern classification, dynamic time series modeling, short-term forecasting, downscaling, and data fusion. The expanding volume of geodetic data, including highly-resolved GNSS time series, InSAR deformation maps, and satellite gravimetry and altimetry products, alongside enriched auxiliary data from advanced weather and environmental models, increasingly favors AI/ML methodologies. Contributions that highlight new advancements in efficient deep learning algorithms, efforts toward explainable AI, and the integration of physical information into data-driven frameworks are especially encouraged. ************************************************************************ IERS Messages are edited and distributed by the IERS Central Bureau. If not stated otherwise, the IERS is only the distributor of the message and is not responsible for its content. To submit texts for distribution, please write to . To subscribe or unsubscribe, please create an IERS account or modify it: https://www.iers.org/Login/Login/EN/login_node.html or write to . Archives: http://www.iers.org/IERS/Messages ************************************************************************