Environmental
Intelligence

for Global Change

About us

We are a research group based at the Department of Electronics, Information, and BioengineeringPolitecnico di Milano. Our research mission is advancing environmental decision-analytics  for supporting human decisions in complex engineering systems including multiple actors and exposed to evolving multisectoral demands and global change. Our research fuses environmental, climate, and hydrologic disciplines with machine learning, optimal control, and evolutionary computation. This multidisciplinary mix yields innovative, flexible, and robust solutions facilitating participatory decision making processes by addressing the multifaceted complexity of environmental systems, including their nested interdependencies across stakeholders, processes, and policies at different spatial scales; as well as potential changes in human-nature interactions and feedbacks under changing climate extremes and societal demands.

News

Latest publications

  • Arnold, W., Giuliani, M., Castelletti, A. (2024). Floating photovoltaics may reduce the risk of hydro-dominated energy development in Africa, Nature Energy, 9, 602-611
  • Ascenso, G., Palcic, G., Scoccimarro, E., Castelletti, A. (2024). A systematic framework for data augmentation for tropical cyclone intensity estimation using deep learning, Journal of Geophysical Research: Machine Learning and Computation, 1(3), e2024JH000206
  • Borghi, N., Guariso, G., Sangiorgio, M. (2024). Forecasting convective storms trajectory and intensity by neural networks, Forecasting, 6(2), 326-342
  • Carlino, A., Schmitt, R., Clark, A., Castelletti, A. (2024). Rethinking energy planning to mitigate the impacts of African hydropower, Nature Sustainability, 7, 879-890
  • Chen, S., Brokhausen, F., Wiesner, P., Hegyi, D., Citir, M., Huth, M., Park, S., Rabe, J., Thamsen, L., Tscheikner-Gratl, F., Castelletti, A., Thamsen, P.U., Cominola, A. (2024). Coupled simulation of urban water networks and interconnected critical urban infrastructure systems: A systematic review and multi-sector research agenda, Sustainable Cities and Society, 104, 105283