The Technologies for Climate Transition (TCT) division analyzes the role of processes and technologies in promoting and accelerating the transition toward climate resilience. Its research explores how innovative tools and mechanisms can shape mitigation and adaptation policies to climate change across various spatial and temporal scales. The division’s methodological approach is highly multidisciplinary, integrating technological design aspects with mathematical and decision-making models and artificial intelligence.
TCT publications
Estimating Mediterranean Cyclone Activity via Explainable Machine Learning
Ascenso G., Proserpio L., Cavicchia L., Scoccimarro E., Giuliani M., Giuliani M.
2026, Journal of Geophysical Research: Machine Learning and Computation, doi: 10.1029/2025JH000807
Published articles
Impact-Based Drought Detection via Interpretable Machine Learning and Causal Discovery
Bonetti P., Giuliani M., Giuliani M., Bucci T., Cardigliano V., Metelli A. M., Restelli M., Castelletti A.
2026, Journal of Geophysical Research: Machine Learning and Computation, doi: 10.1029/2025JH000693Digital
Published articles
Parametric Insurance for Drought and Market Impacts Mitigation in the Hydropower Sector
Scarpellini L., Ficchì A., Giuliani M., Characklis G., Castelletti A.
2026, Water Resources Research, doi: 10.1029/2025WR040147
Published articles
Contacts
Via Solari 11, scala 19 – 20144 Milano

