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

AXA Rresearch's Fund Postdoctoral Fellowship awarded to dr. Andrea Ficchì
Dr. Andrea Ficchì has been awarded the AXA Research's Fund Postdoctoral Fellowship
Our Postdoctoral Researcher Dr. Andrea Ficchì is one of the
eiLab @EGU22

Here’s a list of our contributions to the upcoming EGU General Assembly 2022 (23-27 May 2022 in Vienna, Austria):



Guang Yang, Matteo Giuliani, Elena Matta, Veronica Piuri, and Andrea Castelletti. Dynamic
A dynamic, network scale sediment (dis)connectivity model to reconstruct historical sediment transfer and river reach sediment budgets.
The eiLab led a study in collaboration with colleagues from the University of Padova
Unintended consequences of climate change mitigation for African river basins
Unintended consequences of climate change mitigation for African river basins
The eiLab led a study in collaboration with colleagues from Tufts
eiLab @AGU21

Here’s a list of our contributions to the AGU Fall Meeting 2021:



Silvia Bossi, Rafael J. P. Smith, Alexander Flecker, Rafael Almeida, and Andrea Castelletti. Strategic Dam Planning Accounting for Greenhouse
1st AWESOME Newsletter

Are you interested in how our AWESOME project is exploring the Water, Energy, Food, Ecosystems (WEFE) nexus? Please check out the first Newsletter here, which summaries the updates about the research
Meet Me Tonight 2021
Sandra Ricart, a postodoc researcher in eiLab, is taking part in Meet Me Tonight 2021 (MMT21) to present its work for the MODFABE project. The MODFABE project deals with modeling the farmers' behavior

eiTweets

CLINT will provide #AI enhanced forecasts of extreme #droughts indices for informing the operation of the lake #Como basin of #heatwaves and warm nights, including compound events, to inform agricultural practices.
http://ow.ly/j7YX50Jx0jB

Sea-ice dynamics forecasting via interpretable machine learning: latest advancements presented by @teos1992 #EGU22

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Publications