Dear colleagues,
We invite abstract submissions to our EGU 2026 session:
SM2.2 - Machine Learning Across Geophysics: From Solid Earth to Environmental SignalsThis session focuses on current challenges and emerging opportunities in applying machine learning to geophysical data, addressing challenges such as multimodal data integration, physics-informed modeling, benchmarking, data scarcity, and the role of emerging AI technologies.
The session aims to bring together researchers working at the intersection of machine learning and geophysics to discuss common opportunities and highlight innovative applications, tools, and methodologies.
Abstract deadline: 15 January 2026 at 13:00 CET.
Conveners: Jannes Münchmeyer, René Steinmann, Laura Laurenti, Léonard Seydoux, Josefine Umlauft
We hope to see your contributions and look forward to a great discussion at EGU!
Best regards,
Laura Laurenti