Posted by Paulo Simoes | March 14, 2026 | Meeting Announcements

The GSST/CBERS-5 International Symposium on Machine Learning in Heliophysics and Space Weather will bring together researchers, engineers, and data scientists working at the interface of artificial intelligence and solar–terrestrial physics.

While the primary emphasis is on heliophysics and space weather, contributions addressing applications of Machine Learning in Astrophysics and Earth Sciences are also strongly encouraged. Particular attention will be given to enabling technologies that underpin next-generation observational capabilities, including advanced instrumentation, high-performance computing, data assimilation frameworks, photonics and optical systems, remote sensing platforms, and autonomous space-based systems. Contributions involving large-scale data analysis, modeling, predictive methodologies, and sensor development are especially welcome.

The event is organized by the National Institute for Space Research (INPE), the University of Vale do Paraíba (UNIVAP), and Mackenzie Presbyterian University, with the support of the Brazilian Society of Space Geophysics and Aeronomy (SBGEA).

Important Dates
* 11 February 2026: Submission of abstract for oral and poster sessions opens/ Call for forecast application opens/ Submission of applications for financial support opens
* 30 March 2026: Deadline for abstract submission / Call for space weather forecast application closes
* 30 April 2026: Notification of abstract acceptance
* 23 March 2026: Deadline for financial support application
* 29 May 2026: Deadline for early registration (participants awarded  financial support)
* 17–21 August 2026: Conference

For more information, registration, abstract submission and financial support: https://indico.global/event/16921/registrations/4117/