Matteo works on climate change-related issues, focusing especially on the economic impacts of natural disasters and on the climate-agriculture nexus. During his PhD, he acquired expertise in manipulation, extraction and analysis of spatial data, as well as on the development and simulation of Agent-Based models. His work has been published in high-impact journals such as the Proceeding of the National Academy of Sciences USA.
Matteo's research concerns two crucial challenges of contemporary societies: climate change and growing economic inequality -- and their interplay. He uses an interdisciplinary, data-driven approach to assess the main impacts of weather extremes and natural hazards, both on our economies as a whole and on specific sectors, and how they reverberate across income classes. He is also working, together with the European Union Joint Research Center, on the integration of Agent-Based economic models with crop-yield simulators to develop integrated tools to investigate future scenarios of agricultural adaptation towards climate change.
Matteo received a Ph.D. in Economics from the Scuola Superiore Sant’Anna, and he has a strong background in macroeconomics and statistical modeling. He also spent a visiting period in the Department of Statistics of the Pennsylvania State University, where he closely collaborated with colleagues from the Departments of Geosciences and Geography. During the months spent in the United States, he presented his work at the International Monetary Fund. Prior to his doctoral studies, Matteo received both his Bachelor and Master Degrees in Economics at the University of Siena, and he further received a MSc. in Econometrics at the University of Amsterdam.
What are Matteo’s plans for this new chapter of his academic career, in connection with the objectives of EMbeDS? "The biggest challenge of my future research is to use high-resolution, high-dimensional data to understand how different environmental hazards affect our economies, and specific sectors such as the housing market. Big data can be used both to extract hard-to-spot effects and to inform complex ABM models - which are particularly well suited for the evaluation of future scenarios. This research will allow us to better understand the economic impacts of natural hazards (which are increasingly becoming more dangerous due to climate change), their main channels of transmission and which parts of the population carry the heavier burden. Advancing our understanding of climate change impacts is crucial in order to develop appropriate policies to mitigate them and to manage our transition towards a more environmentally sustainable society".