Massimo Tavoni:
Massimo is a Professor of climate economic modeling at Politecnico di Milano and director of the RFF-CMCC European Institute on Economics and the Environment. He coordinated the Climate Change Mitigation programme at Fondazione Eni Enrico Mattei (FEEM) between 2015 and 2018. He has been fellow at the Center for Advanced Studies in Behavioural Sciences at Stanford University, and a post doc at Princeton University. He was a lead author of the IPCC (5th and 6th assessment reports), and co-directs of the International Energy Workshop. EUNICE is his second ERC.
Jacopo Bonan:
Jacopo is an Assistant Professor at Politecnico di Milano, Affiliated Scientist at the RFF-CMCC European Institute on Economics and the Environment (EIEE) and Fellow at Centro Studi Luca D’Agliano (LdA). He is a behavioural and development economist working on experimental approaches to understanding human behaviour.
Enrico Zio:
Enrico Zio (BS in nuclear engng., Politecnico di Milano, 1991; MSc in mechanical engng., UCLA, 1995; PhD, in nuclear engng., Politecnico di Milano, 1995; PhD, in nuclear engng., MIT, 1998) is the Director of the Graduate School of the Politecnico di Milano and full professor of Computational Methods for Safety and Risk Analysis, and invited lecturer at various Master and PhD Programs in Italy and abroad.
Laurent Drouet:
Laurent Drouet is a Scientist at the RFF-CMCC European Institute on Economics and the Environment, in Milan, Italy. He is a lead researcher in Low carbon pathways unit, and he is currently co-leading the development of the WITCH modelling framework. His research interests include the modelling of human and environmental systems in the context of climate change, decision making under uncertainty and advances in optimization frameworks. He is a contributing author of the 6th IPCC assessment report.
Leonardo Chiani:
Leonardo is a Ph.D. student at Politecnico di Milano. He holds a Mathematical Engineering Master’s degree from the same institution. His main interests are in statistics and climate change. In the EUNICE project, he focuses on global sensitivity analysis of climate models. The goal is to understand the sources of uncertainty in future projections and how to deal with them.
Jacopo Ghirri:
Jacopo is a Ph.D. student at Politecnico di Milano, where he holds his B.Sc. and M.Sc. degrees in Mathematical Engineering. His research interests are statistics, machine learning, and their application to provide policy proposals, in particular on the topic of climate change. As part of the EUNICE team, he applies his data-science background to address scenario uncertainties and their effects on robust recommendations.
Marta Mastropietro:
Marta is a PhD student at Politecnico di Milano and a visiting student at the RFF-CMCC European Institute on Economics and the Environment (EIEE) in Milan, Italy. She majored at Politecnico di Milano in Mathematical Engineering within the Statistical Learning track. In EUNICE, she will apply statistical tools for assessing uncertainty in the study of climate risks and economic impacts.
Jonathan Spinoni:
Jonathan is a research fellow at the Department of Management, Economics and Industrial Engineering at the Polytechnic University of Milan and affiliated scientist at EIEE. He has a PhD in Climate Physics and he previously worked for the University of Milan and for the European Commission. He has sixteen years of experience as climate scientist, authoring more than fifty scientific publications and contributing to the Sixth Assessment Report of the IPCC, the World Atlas of Desertification (3 rd ed.), the GAR Special Report on Drought 2021, and the Copernicus’ European State of Climate 2022. During his career, he focused mainly on climate extremes, drought, and desertification, investigating past tendencies and future projections. In the EUNICE Project he investigates the uncertainties in climate scenarios, the link between climate extremes and impacts, and the implementation of the projected damages due to climate-related events in the new generation of socio-economic scenarios.
