GSST/CBERS-5 International Symposium on Machine Learning in Heliophysics and Space Weather
August 10-14, 2026 - INPE, São José dos Campos, Brazil
The GSST/CBERS-5 Symposium on Machine Learning in Heliophysics and Space Weather will bring together researchers, engineers, and data scientists working at the interface between artificial intelligence and solar-terrestrial physics.
This focused symposium aims to explore how Machine Learning (ML) and Computer Vision (CV) can enhance our understanding of heliophysical phenomena and improve predictive capabilities in space weather and space climate. The discussions will highlight opportunities within the frameworks of the Galileo Solar Space Telescope (GSST) and China-Brazil Earth Resources Satellite 5 (CBERS-5) missions, promoting collaborative efforts across the Brazilian and international scientific communities.
Topics to be Covered
- Computer Vision and Machine Learning applications in heliophysics
- Solar magnetism and magnetic-field inference
- Solar activity: flares, CMEs, and energetic particles
- Solar wind dynamics and heliospheric structures
- Space weather monitoring and forecast
- Physics-Informed Neural Networks
- Research-to-Operations processes augmented by AI and CV
Format and Participation
The symposium will feature invited talks, contributed oral presentations, and discussion sessions. Participation from both academia and operational space-weather centers is encouraged to bridge research and applications.
Venue and Dates
The event will take place at INPE – National Institute for Space Research, São José dos Campos, Brazil, during the second week of August 2026 (tentatively August 10–14, 2026).
Organizers
Organized in the framework of the Galileo Solar Space Telescope (GSST) and China-Brazil Earth Resources Satellite 5 (CBERS-5) missions, with support from collaborating institutions and agencies.