Primary Convener:
Claudia Corradino, INGV - National Institute of Geophysics and Volcanology, Etna Volcano Observatory

Convener:
Michael Ramsey, University of Pittsburgh
Alessandro La Spina, INGV - National Institute of Geophysics and Volcanology, Etna Volcano Observatory
James Thompson, The University of Texas at Austin

Early Career Convener:
Giovanni Salvatore Di Bella, INGV - National Institute of Geophysics and Volcanology, Etna Volcano Observatory

Chair:
Claudia Corradino, INGV - National Institute of Geophysics and Volcanology
Michael Ramsey, University of Pittsburgh
Alessandro La Spina, INGV - National Institute of Geophysics and Volcanology, Etna Volcano Observatory
James Thompson, The University of Texas at Austin

Volcanic hazard understanding is evolving rapidly thanks to breakthroughs in satellite Earth observation, physics-based simulations, and artificial intelligence. This session focuses on forward-looking strategies that integrate multi-source data, real-time monitoring, and advanced modeling to anticipate the dynamics and impacts of eruptions. We invite contributions that address uncertainty quantification, improve hazard forecasting, and support timely decision-making through innovative approaches. Emphasis is placed on cross-disciplinary methods that couple remote sensing with machine learning, probabilistic frameworks, and impact assessment tools. We particularly encourage submissions that demonstrate operational or near-real-time applications, scenario-based forecasting, and integration of diverse datastreams from ground-based and orbital platforms. The session aims to highlight advances that are redefining how we detect, interpret, and respond to volcanic activity. By fostering collaboration across geophysics, computer science, and risk management, we seek to build a next-generation framework for volcanic hazard anticipation, response, and long-term resilience in the face of increasingly complex global challenges.

Index Terms
1942 Machine learning
4314 Mathematical and computer modeling
8485 Remote sensing of volcanoes
8488 Volcanic hazards and risks

Cross-Listed:
NH - Natural Hazards
IN - Informatics

Neighborhoods:
2. Earth Interior

Co-Sponsored Sessions:
EGU： European Geosciences Union