Aerial view of the Zambezi river and Victoria falls with riverboats
Aerial view of the Zambezi river and Victoria falls with riverboats
Alps and eastern branch of Lake Como
Alps and eastern branch of Lake Como
Irrigated wheat field after harvest near Kabwe [credits: ATEC3D]
Irrigated wheat field after harvest near Kabwe [credits: ATEC3D]
Fishing boats in a wetland along the shores of Kafue Gorge reservoir [credits: ATEC3D]
Fishing boats in a wetland along the shores of Kafue Gorge reservoir [credits: ATEC3D]
Kariba dam on the border between Zambia and Zimbabwe [credits: ATEC3D]
Kariba dam on the border between Zambia and Zimbabwe [credits: ATEC3D]
Sugar cane fields near Mazabuka [credits: ATEC3D]
Sugar cane fields near Mazabuka [credits: ATEC3D]
Lake Como and Bellagio
Lake Como and Bellagio
Wetland in the Kafue Flats [credits: ATEC3D]
Wetland in the Kafue Flats [credits: ATEC3D]
Sand banks in the Zambezi River near Chirundu [credits: ATEC3D]
Sand banks in the Zambezi River near Chirundu [credits: ATEC3D]
Sediment transport on the Mekong [credits: NASA]
Sediment transport on the Mekong [credits: NASA]

ENVIRONMENTAL
INTELLIGENCE

for Global Change

ABOUT US

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.

People
Projects
Publications
Software

NEWS

Dighe sostenibili e dove trovarle - Sustainable dams and where to find them
Prof. Andrea Castelletti, head of the eiLab, has been interviewed into L'Eco di Bergamo to recap main learning from the AMBER project (Adaptive…
Balancing Energy, Irrigation, and Environmental Demands in the Zambezi Watercourse: Operations and Sequencing of New Dams









The competition for water, energy, and food is intensifying, and this is happening at…
Model Predictive Control of Water Resources Systems: A Review and Research Agenda
The eiLab led a study in collaboration with Technische Universität Berlin, Einstein Center Digital Future, Delft University of Technology,…
Climate Change Awareness, Perceived Impacts, and Adaptation from Farmers’ Experience and Behavior: a Triple-Loop Review
The eiLab carried out a systematic review to identify the current research trends and set the future…
Tropical Cyclone Genesis Potential Indices in a New High-Resolution Climate Models Ensemble: Limitations and Way Forward
The eiLab participates in a study in collaboration with colleagues from the Fondazione Centro Euro-Mediterraneo…
Balancing Sediment Connectivity and Energy Production via Optimized Reservoir Sediment Management Strategies
The eiLab led a study in collaboration with colleagues from the University of Padova and Stanford University,…
Workshop - Numbers and Stories: New Directions in Climate Storylines and Scenarios

In June 21, 2023, from 9 am to 6:30 pm CEST, the META is organizing a working day on the most recent trends in research on climate change.







The…

eiTweets

Andrea Castelletti @hydroaholics ·

Downscaling, bias correction, and spatial adjustment of extreme tropic... https://www.sciencedirect.com/science/article/pii/S2212094724000859 - new paper led by @GuidoAsc with @MxgTeo @andrea_ficchi

Twitter 1844290214774309324
Dr Andrea Ficchì @andrea_ficchi ·

Just wrapped up a 4-day workshop & hands-on training on #AI for #climate services & #environmental applications at #UEM in Maputo, with @GuidoAsc @eiPolimi. With several amazing local partners, we explored the potential of #AI to boost the resilience for #cyclones & #floods

Twitter 1842989359387291807
Andrea Castelletti @hydroaholics ·

A Systematic Framework for Data Augmentation for Tropical Cyclone Intensity Estimation Using Deep Learning - new paper led by @GuidoAsc with @GiulioPalcic @eiPolimi #MachineLearning

Twitter 1839244922202812494
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