for Global Change


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.


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.



New paper with Julie Quinn, @MxgTeo, @hydroaholics
Average domination: A new multi-objective value metric applied to assess the benefits of forecasts in reservoir operations under different flood design levels
(free access)

Discussing about the future of #hydropower in #Africa #AGU2023

Presenting ⁦the @CLINTH2020⁩ at UCDavis pre-AGU Fall Meeting ⁦@MxgTeo⁩ ⁦@eiPolimi⁩

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