for Global Change
We are a research group based at the Department of Electronics, Information, and Bioengineering, Politecnico 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.
H2020 | 2018-2022
H2020 | 2016-2020
H2020 | 2016-2020
Giuliani, M., M. Zaniolo, A. Castelletti, G. Davoli, and P. Block (2019), Detecting the state of the climate system via artificial intelligence to improve seasonal forecasts and inform reservoir operations, Water Resources Research, 55
Cominola, A., K. Nguyen, M. Giuliani, R.A. Stewart, H.R. Maier, and A. Castelletti (2019), Data mining to uncover heterogeneous water use behaviors from smart meter data, Water Resources Research, 55
- Schmitt, R., S. Bizzi, A. Castelletti, J.J. Opperman, and G.M. Kondolf (2019), Strategic planning in the Mekong Basin could improve trade-offs between hydropower and sediment supply to the Mekong Delta, Science Advances, 5(10)
Mazzoleni, M., A. Amaranto and D.P. Solomatine (2019), Integrating qualitative flow observations in a lumped hydrologic routing model, Water Resources Research, 55(7), 6088-6108.