Monica Pratesi is a Full Professor of Statistics at the Department of Economics and Management of the University of Pisa. She is the Director of the Tuscan Universities Research Centre “Camilo Dagum” on Advanced Statistics for the Equitable and Sustainable Development, Member of the Teaching Board of the Ph.D. Programme in “Data Science” of the University of Pisa and Member of the Board of European Master in Official Statistics jointly organized by Eurostat and European Statistical System. She is elected President of the Italian Statistical Society (SIS) from 2016 (2016-2020). Since 2012 she is member of the International Statistical Institute and until 2017 she was vice President elected of the International Association of Survey Statisticians (IASS).
Her research fields include small area estimation, inference in elusive population, non-response in telephone and Internet surveys, design effect in fitting statistical models. She has an interest in studying inclusive growth and in measuring poverty and living conditions. She has coordinated SAMPLE project (FP7) and has been involved in the INGRID infrastructure (FP7). Currently, she is Principal Investigator for the University of Pisa for the project INGRID-2 (Integrating and servicing European expertise on inclusive growth from data to policy) financed under the EU programme H2020 (H2020-INFRAIA-2016-1) (2017- 2021) and Principal Investigator for the University of Pisa for the project MAKSWELL (MAKing Sustainable development and WELL-being frameworks work for policy) financed under the EU programme H2020 ( H2020-SC6-CO-CREATION-2017) (2017-2020). She has been Jean Monnet Chair “Small Area Methods for Monitoring of Poverty and Living Conditions in EU” (2015-2018) and she is currently Jean Monnet Chair “Small Area methods for Multidimensional Poverty and living conditions Indicators in EU/SAMPIEU” (2018-2021).
Her work is published in more than 80 papers on statistical method useful for Official Statistics in international journals (Computational Statistics, Computational Statistics and Data Analysis, Journal of Official Statistics, Survey Methodology) and conference proceedings.
She is part of the Societal Transitions group.