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

Frontiers Planet Prize 2023
The study "Unintended consequences of climate change mitigation for African river basins" by Matteo Giuliani, Jonathan Lamontagne, Mohamad Hejazi, Patrick Reed and Andrea Castelletti was
eiLab @EGU23

Here’s a list of our contributions to the upcoming EGU General Assembly 2023 (24-28 April 2023 in Vienna, Austria):




Lisa Ferrari, Sandra Ricart, Claudio Gandolfi, and Andrea Castelletti. Underlying farmers’
eiLab @AGU22

Here’s a list of our contributions to the AGU Fall Meeting 2022 Science Leads The Future (12-16 December 2022 in Chicago, IL):




Angelo Carlino, Matthias Wildemeersch, Sebastian Sterl, Celray James Chawanda,
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

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Publications