The WP is focused on preparatory factors (climatic stressors) for ground instabilities, making natural systems closer to disequilibrium conditions. It includes three Tasks, one for learning and training (T 2.3.1) and the other two for generating scenarios of effect through advanced techniques of machine and deep learning (T 2.3.2, T 2.3.3).
WP 2.3 – Monitoring & Modelling: toward a digital twin of ground instabilities effects
Leader: UNIROMA1, Salvatore Martino. Participants: UNIFI, UNIBA, UNIPD, UNINA, UNIBO, UNIROMA1, OGS, UNIGE, UNIPA, ENEA, POLITO