Officers
Maria Rosaria Ferrante (2024-2025) - Coordinator
Maria Rosaria Ferrante is a Full Professor in Economic Statistics at the University of Bologna, Department of Statistical Sciences. Her research primarily focuses on small area estimation of socio-economic indicators, including poverty, inequality, productivity, consumption, and health. Recently, her work has placed emphasis on household economic well-being, life satisfaction, and economic insecurity/resilience.
Enrico Fabrizi (2024-2025) - Deputy-coordinator
Enrico Fabrizi is Full Professor in Business and Economics Statistics at the Piacenza campus of the Università Cattolica del S. Cuore (UCSC). His research interests are survey sampling methodology, Bayesian inference applied to the analysis of complex survey data and small area estimation. Lately, Enrico devoted special attention to estimation of poverty and inequality related parameters.
Gaia Bertarelli (2024-2025)
Gaia Bertarelli is a tenure track Assistant Professor in Social Statistics at the Department of Economics of the Ca’ Foscari University of Venice. Her primary research focuses on small areas models, mainly in the fields of data integration, latent variable techniques and bias correction. The main themes of application mainly concern multidimensional aspects of poverty, inequalities and sustainable well-being.
Danila Filipponi (2024-2025)
Danila Filipponi is a Senior Researcher in Statistics Methodology at the Italian Institute of Statistics (ISTAT). She heads the Process Design and Support for Register Systems Service. Her main research interests lie in the use of latent variable models in official statistics.
Sara Franceschi (2024-2025)
Sara Franceschi is Associate Professor in Statistics at the Department of Economics and Statistics of the University of Siena. Her main fields of interest are: environmental sampling strategies with particular reference to richness, abundances and biodiversity indexes estimation of the abundance and ecological diversity of biological populations, treatment of non-responses and mapping of continuous and finite populations considering a design- based approach.