Lecturer in Demography

Francesco is a Lecturer in Demography with a broad range of research interests, which include digital and computational demography with applications in fertility, migration, transition to adulthood, and survey research. He is part of the Leverhulme Centre for Demographic Science. He is affiliated with Nuffield College as a Non-Stipendiary Research Fellow. In addition, he collaborates with researchers at the Max Planck Institute for Demographic Research in Rostock and the Centre for Population Change in Southampton.

In his research, Francesco uses digital traces data produced by advertising platforms, such as Facebook Advertising Platform, and other markets, and repurpose them to study demographic phenomenon.

He has a PhD in Social Statistics and Demography from the University of Southampton. He holds a European Doctoral School of Demography diploma, a Master in Demography from Stockholm University, and a Bachelor in Statistical Science from the University of Padova.

 

Publications

Wednesday, 02 April 2025
Rosenzweig, L. et al. (2025) “Survey sampling in the Global South using Facebook advertisements”, Political Science Research and Methods, pp. 1–17.
Thursday, 21 November 2024
Rampazzo, F. et al. (2024) “‘UPDATE: I’m pregnant!’: inferring global downloads and reasons for using menstrual tracking apps”, Digital Health [Preprint].
Friday, 31 May 2024
Rampazzo, F. et al. (2024) “Assessing timely migration trends through digital traces: a case study of the UK before Brexit”, International Migration Review, 59(1), pp. 119–140.
Thursday, 06 April 2023
Leasure, D. et al. (2023) “Nowcasting daily population displacement in Ukraine through social media advertising data”, Population and Development Review, 49(2), pp. 231–254.
Friday, 31 March 2023
Kashyap, R. et al. (2023) “Digital and computational demography”, in Skopek, J. (ed.) Research Handbook on Digital Sociology. Edward Elgar Publishing, pp. 48–86.
Sunday, 01 January 2023
Rampazzo, F., Rango, M. and Weber, I. (2023) “New Migration Data: Challenges and Opportunities”, in Handbook of Computational Social Science for Policy. Springer Nature, pp. 345–359.
Sunday, 06 November 2022
Grow, A. et al. (2022) “Is Facebook’s advertising data accurate enough for use in social science research? Insights from a cross-national online survey”, Journal of the Royal Statistical Society, Series A (Statistics in Society), 185(S2), pp. S343 - S363.
Sunday, 16 October 2022
Rampazzo, F. et al. (2022) “‘UPDATE: I’m pregnant!’: Inferring Global Use of Fertility Tracking Apps”, SocArXiv.
Wednesday, 11 May 2022
Leasure, D. et al. (2022) “Nowcasting daily population displacement in Ukraine through social media advertising data”, SocArXiv.
Thursday, 21 April 2022
Kashyap, R. et al. (2022) “Digital and Computational Demography”, SocArXiv.
Tuesday, 09 November 2021
Rampazzo, F. et al. (2021) “A framework for estimating migrant stocks using digital traces and survey data: an application in the United Kingdom”, Demography, 58(6), pp. 2193–2218.
Thursday, 21 October 2021
Del Fava, E. et al. (2021) “Differential impact of physical distancing strategies on social contacts relevant for the spread of SARS-CoV-2: evidence from a cross-national online survey, March-April 2020”, BMJ Open, 11(10).
Tuesday, 06 July 2021
Schwanitz, K., Rampazzo, F. and Vitali, A. (2021) “Unpacking intentions to leave the parental home in Europe using the Generations and Gender Survey”, Demographic Research, 45, pp. 17–54.
Wednesday, 02 June 2021
Schwanitz, K., Rampazzo, F. and Vitali, A. (2021) “Unpacking intentions to leave the parental home in Europe using the Generations and Gender Survey”, Demographic Research [Preprint].
Wednesday, 14 April 2021
Perrotta, D. et al. (2021) “Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey”, EPJ Data Science, 10(1).
Monday, 14 December 2020
Grow, A. et al. (2020) “Addressing public health emergencies via Facebook surveys: Advantages, challenges, and practical considerations”, Journal of Medical Internet Research, 22(12).
Monday, 25 May 2020
Grow, A. et al. (2020) “Addressing Public Health Emergencies via Facebook Surveys: Advantages, Challenges, and Practical Considerations (Preprint)”, JMIR Preprints.
Monday, 18 May 2020
Del Fava, E. et al. (2020) “The differential impact of physical distancing strategies on social contacts relevant for the spread of COVID-19”, medRxiv.
Tuesday, 01 January 2019
Testa, M. and Rampazzo, F. (2019) “From intentions to births: paths of realisation in a multi-dimensional life course”, Vienna Yearbook of Population Research, 1, pp. 177–198.
Friday, 15 June 2018
Rampazzo, F. et al. (2018) “Mater Certa Est, Pater Numquam: What Can Facebook Advertising Data Tell Us about Male Fertility Rates?”, Proceedings of the International AAAI Conference on Web and Social Media, 12(1).
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Francesco Rampazzo

PhD
Lecturer in Demography
This is the alt text
Email
Links
Google Scholar
Website
LinkedIn
Twitter
Mastodon
Bluesky

Francesco is a Lecturer in Demography with a broad range of research interests, which include digital and computational demography with applications in fertility, migration, transition to adulthood, and survey research. He is part of the Leverhulme Centre for Demographic Science. He is affiliated with Nuffield College as a Non-Stipendiary Research Fellow. In addition, he collaborates with researchers at the Max Planck Institute for Demographic Research in Rostock and the Centre for Population Change in Southampton.

In his research, Francesco uses digital traces data produced by advertising platforms, such as Facebook Advertising Platform, and other markets, and repurpose them to study demographic phenomenon.

He has a PhD in Social Statistics and Demography from the University of Southampton. He holds a European Doctoral School of Demography diploma, a Master in Demography from Stockholm University, and a Bachelor in Statistical Science from the University of Padova.

 

Publications

Wednesday, 02 April 2025
Rosenzweig, L. et al. (2025) “Survey sampling in the Global South using Facebook advertisements”, Political Science Research and Methods, pp. 1–17.
Thursday, 21 November 2024
Rampazzo, F. et al. (2024) “‘UPDATE: I’m pregnant!’: inferring global downloads and reasons for using menstrual tracking apps”, Digital Health [Preprint].
Friday, 31 May 2024
Rampazzo, F. et al. (2024) “Assessing timely migration trends through digital traces: a case study of the UK before Brexit”, International Migration Review, 59(1), pp. 119–140.
Thursday, 06 April 2023
Leasure, D. et al. (2023) “Nowcasting daily population displacement in Ukraine through social media advertising data”, Population and Development Review, 49(2), pp. 231–254.
Friday, 31 March 2023
Kashyap, R. et al. (2023) “Digital and computational demography”, in Skopek, J. (ed.) Research Handbook on Digital Sociology. Edward Elgar Publishing, pp. 48–86.
Sunday, 01 January 2023
Rampazzo, F., Rango, M. and Weber, I. (2023) “New Migration Data: Challenges and Opportunities”, in Handbook of Computational Social Science for Policy. Springer Nature, pp. 345–359.
Sunday, 06 November 2022
Grow, A. et al. (2022) “Is Facebook’s advertising data accurate enough for use in social science research? Insights from a cross-national online survey”, Journal of the Royal Statistical Society, Series A (Statistics in Society), 185(S2), pp. S343 - S363.
Sunday, 16 October 2022
Rampazzo, F. et al. (2022) “‘UPDATE: I’m pregnant!’: Inferring Global Use of Fertility Tracking Apps”, SocArXiv.
Wednesday, 11 May 2022
Leasure, D. et al. (2022) “Nowcasting daily population displacement in Ukraine through social media advertising data”, SocArXiv.
Thursday, 21 April 2022
Kashyap, R. et al. (2022) “Digital and Computational Demography”, SocArXiv.
Tuesday, 09 November 2021
Rampazzo, F. et al. (2021) “A framework for estimating migrant stocks using digital traces and survey data: an application in the United Kingdom”, Demography, 58(6), pp. 2193–2218.
Thursday, 21 October 2021
Del Fava, E. et al. (2021) “Differential impact of physical distancing strategies on social contacts relevant for the spread of SARS-CoV-2: evidence from a cross-national online survey, March-April 2020”, BMJ Open, 11(10).
Tuesday, 06 July 2021
Schwanitz, K., Rampazzo, F. and Vitali, A. (2021) “Unpacking intentions to leave the parental home in Europe using the Generations and Gender Survey”, Demographic Research, 45, pp. 17–54.
Wednesday, 02 June 2021
Schwanitz, K., Rampazzo, F. and Vitali, A. (2021) “Unpacking intentions to leave the parental home in Europe using the Generations and Gender Survey”, Demographic Research [Preprint].
Wednesday, 14 April 2021
Perrotta, D. et al. (2021) “Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey”, EPJ Data Science, 10(1).
Monday, 14 December 2020
Grow, A. et al. (2020) “Addressing public health emergencies via Facebook surveys: Advantages, challenges, and practical considerations”, Journal of Medical Internet Research, 22(12).
Monday, 25 May 2020
Grow, A. et al. (2020) “Addressing Public Health Emergencies via Facebook Surveys: Advantages, Challenges, and Practical Considerations (Preprint)”, JMIR Preprints.
Monday, 18 May 2020
Del Fava, E. et al. (2020) “The differential impact of physical distancing strategies on social contacts relevant for the spread of COVID-19”, medRxiv.
Tuesday, 01 January 2019
Testa, M. and Rampazzo, F. (2019) “From intentions to births: paths of realisation in a multi-dimensional life course”, Vienna Yearbook of Population Research, 1, pp. 177–198.
Friday, 15 June 2018
Rampazzo, F. et al. (2018) “Mater Certa Est, Pater Numquam: What Can Facebook Advertising Data Tell Us about Male Fertility Rates?”, Proceedings of the International AAAI Conference on Web and Social Media, 12(1).

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