SMW12
Launching the Europlanet Working Group on Machine Learning in Planetary Science
Wed, 11 Sep, 16:30–18:00 (CEST)|Room Venus (Konferenzraum II)
Wed, 16:30
1. Developing ML methods and tools for planetary surface and subsurface mapping, mineralogy, geomorphology, and geology.
2. Applying ML techniques to planetary atmospheres, climates, and weather systems.
3. Using ML approaches to study the formation and evolution of planetary systems, exoplanets, and astrobiology.
4. Creating ML frameworks and platforms for data integration, fusion, visualization, and dissemination.
This splinter session invites everyone who is interested in ML in planetary science. We intend to establish a Europlanet Working Group “Machine Learning in Planetary Science.” The proposed working group will complement and build upon what has been achieved during the Europlanet RI project in ML. While the Europlanet RI has addressed a broad range of ML applications across planetary research, the new group will delve deeper into specialized areas, fostering collaboration and knowledge exchange. This targeted approach will enable the development of tailored ML solutions, driving innovation and accelerating scientific discoveries. By bridging the gap between ML and planetary science, this working group will position academic institutions and industry stakeholders at the forefront of cutting-edge research, fostering a collaborative environment that leverages ML to unlock the mysteries of our solar system and beyond.