UPS - Population and Society Unit

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Aims and activities of the research unit

UPS is the Population and Society Research Unit of the Department of Statistics, Computer Science, Application (DiSIA) of the University of Florence. UPS aims at sharing and disseminating the expertise developed in the socio-demographic research field by the researchers of DiSIA, in order to establish, renew and consolidate scientific partnerships with national and international research institutes and universities.


UPS leads research and dissemination activities in the fields of population and society with a multidisciplinary scientific approach.


UPS's main areas of scientific interest:
- family demography and life course;
- population health and well-being;
- causes and consequences of demographic ageing;
- international migrations;
- social inequality and stratification;
- statistical methods for the integration of different statistical data sources (e.g., traditional surveys and administrative data);
- sustainable development;
- construction of indicators of well-being and quality of life;
- evaluation of educational processes (e.g., value-added models and educational data mining);
- implementation of statistical information systems for the evaluation of public utility services;
- design and implementation of surveys for the study of social and demographic events at the local and national level.


UPS coordinates national and international projects on social and demographic issues based at DiSIA.


UPS disseminates the findings of its research projects and the activities of its members through seminars, articles published on magazines or international journals and DiSIA working papers, press releases and conferences.


UPS works in partnership with FloPS – Florence Population Studies – a collaboration agreement between the Department of Statistics, Informatics, Applications "G. Parenti" (DiSIA) of the University of Florence and the Department of Political and Social Sciences of the European University Institute, for the development of joint research activities about population, life course and social inequalities.


Seminar series
The Seminars for the period February-June 2021 are available here.

Recorded seminars:
- 25/02/2021: Agnese Vitali – University of Trento, Italy
   Female-breadwinner families (Recorded seminar)
- 24/05/2021: Emanuele Del Fava - MPIDR, Germany
Modelling international migration flows in Europe by integrating multiple data sources (Recorded seminar)


Seminar cycle on "Social Consequences of Natural Disasters"


Scientific coordinator
Daniele Vignoli




Twitter: @FlorenceUps


Current projects


Recent publications

  • Giammarco Alderotti, Daniele Vignoli, Michela Baccini, Anna Matysiak (in press). Instability of Employment Careers and Fertility in Europe: A Meta-Analysis. Demography.
  • Valeria Bordone, Bruno Arpino, Giorgio Di Gessa (in press). Becoming a grandparent and its effect on well-being: the role of order of transitions, time, and gender. Journals of Gerontology Series B-Psychological Sciences and Social.
  • Valentina Tocchioni, Ann Berrington, Daniele Vignoli, Agnese Vitali (in press). The changing association between homeownership and the transition to parenthood. Demography.
  • Bruno Arpino, Valeria Bordone, Marta Pasqualini (2020). No clear association emerges between intergenerational relationships and COVID-19 fatality rates from macro-level analyses. Proceedings of the National Academy of Sciences (PNAS) 117(32), 19116-19121.
  • Bruno Arpino, Madelin Gómez-León (2020). Consequences on depression of combining grandparental childcare with other caregiving roles. Aging & Mental Health, 24(8):1263-1270.
  • Silvia Bacci, Bruno Bertaccini (2020). Assessment of the University Reputation Through the Analysis of the Student Mobility. Social Indicators Research, on-line first.
  • Bruno Bertaccini, Silvia Bacci, Alessandra Petrucci (2020). A graduates’ satisfaction index for the evaluation of the university overall quality. Socio-Economic Planning Sciences, on-line first.
  • Raffaele Guetto, Daniele Vignoli, Giacomo Bazzani (2020). Marriage and cohabitation under uncertainty: the role of narratives of the future during the COVID-19 pandemic. European Societies, on-line first.
  • Anna Matysiak, Tomas Sobotka, Daniele Vignoli (2020). The Great Recession and Fertility in Europe: A Sub-national Analysis. European Journal of Population, on-line first.
  • Elena Pirani, Camilla Matera (2020). Who is at risk? Gendered psychological correlates in Italian students’ sexual risk profiles. Genus, 76(11): 1-21.
  • Elena Pirani (2020) Do Italians still contact their mother? Several differences by type of union. Journal of Family Studies, 26(4): 528-549 (on-line first 2018).
  • Daniele Vignoli, Raffaele Guetto, Giacomo Bazzani, Elena Pirani, Alessandra Minello (2020). A Reflection on Economic Uncertainty and Fertility in Europe: The Narrative Framework. Genus. 78(28).
  • Bruno Arpino, Aida Solé-Auró (2019). Education inequalities in health among older European men and women: the role of active aging. Journal of Aging and Health, 31, 185-208.
  • Silvia Bacci, Bruno Bertaccini, Alessandra Petrucci (2019). Beliefs and needs of academic teachers: a latent class analysis. Statistical Methods & Applications, vol. 29(3), pages 597-617.
  • Diederik Boertien, Daniele Vignoli (2019). Legalizing Same-Sex Marriage Matters for the Subjective Well-Being of Individuals in Same-Sex Unions. Demography, 56(6): 2109-2121.
  • Valeria Bordone, Bruno Arpino, Alessandro Rosina (2019). Forever young? An analysis of the factors influencing perceptions of ageing. Ageing & Society, 40(8): 1669–1693.
  • Jordi Guma, Aida Solé-Auró, Bruno Arpino (2019). Examining social determinants of health: The role of education, household arrangements and country groups by gender. BMC Public Health, 19, 1-9.
  • Gustavo De Santis, Elena Pirani, Mariano Porcu (2019). Rapporto sulla Popolazione. L'istruzione in Italia (Eds). Il Mulino.
  • Elena Pirani, Maria Francesca Marino, Alessandra Petrucci (2019). Correlates of inter-districts migrations in Tanzania. a gravity-type modeling approach. Statistica, 79(2), 201-221.

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