Crowdsourced Genealogies and the Evolution of Social Inequalities. New Data and Challenges for Demographic Research. Lecture, 28 November 2022

Fundación BBVA at Palacio del Marqués de Salamanca. Paseo de Recoletos, 10. Madrid

November 28, 2022


19.00 – 20.30 CEST

Demographic change and inequality mark modern society, making indispensable the understanding of demographic processes and the planning of effective policies. As demographic processes evolve slowly across generations, the combination of historical with current data can help in understanding the process of population evolution. In this talk, I will present results from the EU-funded GENPOP project, which investigates long-term demographic processes in family networks from 1800 until today by using existing data on Internet-based genealogies. Innovative Big Data and micro-census data will be used to examine fertility and mortality in family networks and diversity between and within families across generations, to understand the impact migration has had on different generations and to delineate long-term models of assortative mating. This is the first comprehensive study that combines historical and contemporaneous data to understand how population processes evolve via three interrelated channels: multigenerational transmission, assortative mating and migration.

Dr. Nicola Barban

is Professor of Demography at the University of Bologna, Italy, and an international co-investigator of the ESRC Research Centre on Micro-Social Change (MiSoC), United Kingdom. He is Principal Investigator of the ERC Consolidator Grant GENPOP: Genes, genealogies and the evolution of demographic change and social inequality. His research focuses on demography, sociogenomics, social interactions and life course analysis. His work has been published in high impact factor journals such as Nature GeneticsNature Human Behaviour and American Sociological Review. He is the author, together with Melinda Mills and Felix Tropf, of the textbook An Introduction to Statistical Genetic Analysis, edited by MIT Press.