Federico DE LUCA

Federico DE LUCA serves as a Research Fellow at the Department of Economics, Ca' Foscari University of Venice since 2023. His academic affiliations include ongoing roles as Visiting Researcher at the Southampton Statistical Sciences Research Institute (University of Southampton) since 2014, and previous research engagements at the University of Barcelona and University of Chicago during his doctoral studies.

His educational background includes a PhD in Social Statistics from the University of Southampton (2010-2014), Master's Degree in Statistical, Demographic and Social Sciences from the University of Padua (2008-2010), and Bachelor's Degree in Statistics, Population and Society from the University of Padua (2005-2008).

DE LUCA's research spans Survey Design, Monitoring, Evaluation, and Learning Systems, Diversity, Equity and Inclusion Systems, Item Response Theory, Latent Factor Models, with applications in Education and Health. His scholarly output demonstrates strong interdisciplinary connections between statistical methodology and real-world social issues, particularly in infant health and educational policy.

Analysis of his 15 most recent publications reveals a consistent focus on health outcomes (particularly infant mortality prevention and maternal health), technology-society interaction (mobile communication patterns and AI perception), and educational assessment (creativity and critical thinking development). His work frequently employs sophisticated statistical methodologies applied to large-scale international datasets.

• Certified Statistician of the Royal Statistical Society

DE LUCA maintains active professional engagement through consulting roles for international organizations including FAO, UNDP, OECD, and UNICEF since 2021. His prior professional experience includes positions as Data and Policy Analyst at the OECD (2016-2020) and Senior Statistician at the International Energy Agency (2013-2016). His bibliometric profile shows substantial scholarly impact with h-index values of 9 (Scopus), 8 (Web of Science), and 12 (Google Scholar), representing over 40 peer-reviewed publications.