Department

Digital and Computational Demography (Zagheni)

At a Glance Laboratories Publications Team

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The main goal of the Department of Digital and Computational Demography is to advance fundamental population science, through the lens of digital and computational perspectives, for the benefit of everyone. Thematically, a first primary focal area, addressed by the Laboratory of Migration and Mobility, is on measuring, understanding, and predicting the causes and consequences of migration. A second primary focal area, addressed by the Laboratory of Population Dynamics and Sustainable Well-Being, is on monitoring, understanding, and predicting the factors that shape people’s well-being across space, time, and demographic characteristics, and as they relate to mortality and health, fertility, social and economic processes, and sustainable development.   Detailed Description

Selected Publications

Alexander, M.; Polimis, K.; Zagheni, E.:

The impact of Hurricane Maria on out-migration from Puerto Rico: evidence from Facebook data

Population and Development Review 45:3, 617–630. (2019)    

Grow, A.; van Bavel, J.:

The gender cliff in the relative contribution to the household income: insights from modelling marriage markets in 27 European countries

European Journal of Population 36:4, 711–733. (2020)    

Alburez-Gutierrez, D.:

Blood is thicker than bloodshed: a genealogical approach to reconstruct populations after armed conflicts

Demographic Research 40:23, 627–656. (2019)    

Stewart, I. B.; Flores, R. D.; Riffe, T.; Weber, I. G.; Zagheni, E.:

Rock, rap, or reggaeton?: assessing Mexican immigrants' cultural assimilation using Facebook data

In: Proceedings of the World Wide Web Conference WWW 2019: May 13-17, 2019, San Francisco, CA, USA, 3258–3264. New York: ACM. (2019)    

Seminar Series

The Laboratory of Digital and Computational Demography hosts various kinds of seminar talks. Here, there is an overview of past lectures, in the calendar you find future events.

Past Seminar Talks

Summer Incubator Program

The Population and Social Data Science Summer Incubator Program is a 3-month research visit for a diverse group of PhD and master students. The goal of the Summer Incubator Program is to enable discovery by bringing together data scientists and population scientists from around the world to work on focused, intensive and collaborative projects of broad societal relevance.

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