The University of Trento (UniTN) is responsible for the overall project management and to integrate the various data sources from Italy. Furthermore, it will be responsible for developing a common theoretical/conceptual framework of the project on inequality of opportunity and poverty in educational outcomes. It is also in charge of developing standardized estimation techniques for statistics on the inequality of opportunity based on Machine Learning tools.
Project Coordinator / Principal Investigator
Associate Professor in Quantitative Sociology at the University of Trento. He has a PhD in Applied Sociology and Social Research Methods at the University of Milan-Bicocca and was Research Fellow at the European University Institute (Fiesole, Italy). His research interests include social stratification and inequality, education, labour market, crime, and quantitative methods for social research.
Associate Professor at the
University of Milan-Bicocca
Economics – Inequality
Assistant professor in Economics at the University of Florence and University of Bari. His research activity focuses on theoretical and methodological aspect of inequality and unfairness measurement.
Post-doctoral Research Fellow at the University of Trento in the INEQUALITREES Project. He defended his thesis at the University of Trento.
Post-doctoral Research Fellow at the University of Trento in the INEQUALITREES Project. He defended his thesis at the European University Institute (EUI). Carlos carries out theoretically-driven empirical research with interdisciplinary interests in skill formation, intergenerational social mobility and social policy.
Economics of Education
Assistant Professor in Economics at the University of Trento and research affiliate at CHILD-Collegio Carlo Alberto and IZA. Previously, she has been post-doc researcher at FBK-IRVAPP, after receiving her PhD from the University of Torino and Collegio Carlo Alberto in 2016. Her research interests, in labour economics, include gender, education, and household economics, with a focus on policy evaluation methods.