Lab Retreat: GAIA: Geosciences Artificial Intelligence Applications

January 6, 2027 - January 8, 2027
Our current understanding of the Earth system is challenged by the complexity of the processes we seek to unravel. Over the past two decades, advances in instrumentation have greatly improved our ability to observe natural phenomena with unprecedented precision. At the same time, the growing volume of data has led to the development of curated repositories that now serve the entire scientific community. Yet, our ability to fully interpret and model these high-resolution observations remains limited by the lack of a comprehensive formalism capable of capturing the multi-scale and multi-physics couplings revealed by these data. Since the 1990s, IPGP played a pioneering role in the development of inversion methods. It has also been a major driver in the creation of database infrastructures that provide access to a wide range of Earth system data (Gaia Data and Form@Terre projects).
We now find ourselves at a pivotal moment where strengthening our expertise in artificial intelligence (AI) has become essential to tackle the next generation of scientific challenges. Emerging AI approaches offer powerful new opportunities to extract information from complex datasets, bridge scales, and integrate observations with physical models, opening exciting pathways for scientific discovery.With the GAIA Lab Retreat, we hope to support this transition and strengthen our collective expertise. The retreat will provide a space for sharing experiences, discussing recent developments, and exploring both theoretical and practical advancements in AI methodologies tailored to our disciplines.

This session is organized by:
Antoine LUCAS, CNRS/IPGP/UPC
Léonard SEYDOUX, IPGP/UPC
Éric GAYER, IPGP/UPC
Fidel COSTA, IPGP
Lise RETAILLEAU, IPGP/UPC

More information can be found on the session's website.
Published on  March 13, 2026
Updated on  March 13, 2026