1-1-1-1-1-1-1-1-1-1-1-1-1-1 From: Maurizio Petrelli <maurizio.petrelli@xxxxxxxx> Dear colleagues, We would like to bring your attention to the session *V009 - Data Driven Science Applied to Magmatic and Volcanic Systems* taking place at the 2023 AGU Fall Meeting in San Francisco from December 11 to 15, 2023. We invite you to submit an abstract before *the deadline on August 2, 2023*. Session description: Pre-eruptive and eruptive processes are often investigated by synthesizing limited data and observations with laboratory and numerical experiments. However, increasing data quality and quantity combined with advances in data science and machine learning methods allow models for various processes to be derived directly from data. Data-driven approaches are being applied to geochemical, petrological, seismic, geodetic, and imagery data in volcanic settings. These approaches can be used to detect and characterize volcanic activity, model pre- and syn-eruptive processes, and make forecasts. Much work remains to recognise the potential of data science and machine learning in petrology and volcanology while also understanding the limitations and precautions involved with using these approaches that can be perceived as black boxes. We welcome experimental, analytical, numerical, geophysical, and field-based studies addressing volcanic systems that try to develop, combine, and discuss volcanic processes from classical and data-driven perspectives. All the best, Maurizio Petrelli (University of Perugia) Gabriele Morra (University of Louisiana at Lafayette) Josh A. Crozier (USGS, California Volcano Observatory) 1-1-1-1-1-1-1-1-1-1-1-1-1-1 ------------------------------
