The 3rd Machine Learning in Heliophysics international conference
22-26 September 2025

ESA European Space Astronomy Centre, near Madrid, Spain

                                                                                            Scientific programme: https://ml-helio.github.io/Program_final.pdf

 

For on-site participants:

The goal of the ML- Helio conference is to leverage the advancements happening in disciplines such as machine learning, deep learning, statistical analysis, system identification, and information theory, in order to address long-standing questions and enable a higher scientific return on the wealth of available heliospheric data.

This conference brings together a cross-disciplinary research community: physicists in solar, heliospheric, magnetospheric, and aeronomy fields as well as computer and data scientists. ML- Helio focuses on the development of data science techniques needed to tackle fundamental problems in space weather forecasting, inverse estimation of physical parameters, automatic event identification, feature detection and tracking, times series analysis of dynamical systems, combination of physics-based models with machine learning techniques, surrogate models and uncertainty quantification. The conference consists of classic-style lectures, complemented by hands-on tutorials on Python tools and data resources available to the heliophysics machine learning community. The conference is hosted in hybrid mode (in-person and virtual).

More on the conference scientific content and abstract registration at https://ml-helio.github.io/
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