2-2-2-2-2-2-2-2-2-2-2-2-2 From: Chiara Montagna <chiara.montagna@xxxxxxx> Dear Colleagues, We invite you to consider session 'Data Science in Volcanology' https://on-line-form.eu/iavcei2025sa/abstracts/index.php?coo=1 <https://urldefense.com/v3/__https://on-line-form.eu/iavcei2025sa/abstracts/index.php?coo=1__;!!IKRxdwAv5BmarQ!fCa_M0ExbdNqwrh-f_6KGECHsCr0hYZdFBlVRAn3pn6ysngU6_B-opeq19LLOJxISc4ykQbiuSBm1oNwMQNJFaiduQ$> when you submit your abstract to the upcoming IAVCEI Scientific Assembly in Geneva. We aim at gathering contributions that span different subfields of volcanology, but share a data-driven approach and data analysis methodologies. Detailed description is below. Corin Jorgenson and Leonard Seydoux will be our invited speakers. Corin will present on the evolution of machine learning mineral thermobarometers and other ML applications in petrology/volcanology; Leonard will talk about unsupervised machine learning methods and interpreting deep learning models. We hope to see many of you for a fruitful discussion on these widely used new techniques in Geneva! Chiara, Martina, Joe, Luigi, Maurizio *Session description* Data Science is becoming more and more pervasive in any field of research, including the Earth Sciences and specifically volcanology. By leveraging advanced data analytics, machine learning, and big data, researchers can gain deeper insights into volcanic processes from the small to the large scale, from plumbing system formation and evolution to eruptive dynamics. This session welcomes contributions that showcase use of data science applied to volcanological problems, such as machine learning algorithms to improve geo-thermo-barometers; statistical emulators and surrogate models to aid numerical modeling of volcanic processes; pattern recognition to interpret monitoring signals. Contributions that tackle ethical issues related to AI-aided volcanic hazard assessment are also welcome. Chiara Montagna (INGV Pisa) Maurizio Petrelli (University of Perugia) Joe Carthy (University of Granada) Martina Allegra (INGV Catania) Luigi Corleo (INGV Catania) 2-2-2-2-2-2-2-2-2-2-2-2-2 ------------------------------
