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.


ROSS: A novel active learning algorithm for robust planning under deep uncertainty

Deep uncertainty in future climate, socio-economic and technological conditions poses a great challenge to medium-long term decision
eiLab @MIT & Tufts

In the context of a Rocca Seed Funds initiative, we started a collaboration with Prof. Dara Entekhabi and Dr. Sarah Fletcher from the MIT Dept. of Civil and Environmental Engineering. The first meeting
On the advantages of jointly designing dam size and operations: a new paper on Earth's Future

Globally, many countries are actively seeking to maximize the hydropower potential of major river basins, yielding proposals
eiLab @AGU Fall Meeting 2019​

Here the list of our contributions accepted for the AGU Fall Meeting to be held in San Francisco (CA), December 9-13:

Seasonal drought forecasts to optimally balancing multisector interests
Can Artificial Intelligence improve seasonal forecasts and inform reservoir operations? a new paper on WRR
Increasingly variable hydrologic regimes combined with more frequent and intense extreme events call for accurate
eiLab @Making climate services a reality in Europe
Matteo Giuliani has been invited to the Making climate services a reality in Europe to talk about the value of seasonal forecast for the optimal operations of hydropower
SOWATCH project final workshop
The eiLab hosted the final workshop of the SOft path WATer adaptation to CHanging climate project. SOWATCH is a research project funded by Fondazione Cariplo and involving the eiLab along


Our new paper develops insurance bundling among competing agents exposed to uncorrelated risks https://bit.ly/2SprtgA @simonadenaro @MxgTeo @eiPolimi

Happy to see people are reading our work and our paper "Data Mining to Uncover Heterogeneous Water Use Behaviors From Smart Meter Data" is a #TopDownloadedArticle on #WRR. It is available #openaccess here: https://doi.org/10.1029/2019WR024897 #KNguyen @MxgTeo #RStewart #HRMaier @hydroaholics

Bored from the quaranteen? Interested in #sensitivity #analysis of #MachineLearning groundwater #forecasts? Take a look at our new paper @eiPolimi @ihedelft @UNL_BSE @BristolUniWater https://www.sciencedirect.com/science/article/pii/S0022169420304170

Load More...