Primary Convener:
Talwinder Singh, Georgia State University

Convener:
Berkay Aydin, Georgia State University
Viacheslav Sadykov, Georgia State University

Early Career Convener:
Sahanaj Banu, University of New Hampshire

Chair:
Talwinder Singh, Georgia State University
Viacheslav Sadykov, Georgia State University
Sahanaj Banu, University of New Hampshire

Reliable prediction of solar transient events – such as flares, coronal mass ejections (CMEs), and solar energetic particle (SEP) events – remains a critical challenge with both scientific and operational implications. This session invites contributions that advance the state of solar and heliospheric event forecasting using a diverse range of approaches, including but not limited to data-driven models (e.g., machine learning), physics-based models (e.g., MHD simulations), and analytic or hybrid techniques. The main goal of the session is to foster cross-disciplinary discussions on how these complementary methods contribute to a deeper understanding and improved prediction of solar transients. Topics of interest include but not limited to: 1) modeling, development and application of forecasting techniques, 2) data preparation, curation, and augmentation strategies, 3) use of novel observations or multi-modal data products, 4) uncertainty quantification, 5) interpretability and physical insight gained from predictive models, and 6) pathways toward operational implementation.

Index Terms
2101 Coronal mass ejections
2114 Energetic particles
7519 Flares
7924 Forecasting

Neighborhoods:
4. Beyond Earth

Suggested Itineraries:
Space Weather