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What and Who
Title:Combining Facebook data with traditional sources to study migration processes
Speaker:Emilio Zagheni
coming from:MPI for Demographic Research
Speakers Bio:Emilio Zagheni was born in 1981 in Italy. He studied economics, statistics, and social sciences at Bocconi University in Milan. In 2006 and 2008 he received MA degrees in demography and statistics from the University of California, Berkeley, where he was also awarded a PhD in demography in 2010. From 2010 to 2012 Emilio Zagheni worked as a research scientist at the MPI for Demographic Research in Rostock. Since 2014 he has been employed as a professor of sociology at the University of Washington in Seattle, first as an assistant professor, and, since 2016, as an associate professor. Director and Scientific Member at the Max Planck Institute for Demographic Research as of 2018. For his research Emilio Zagheni has received numerous awards. His research focuses on migration, in particular on how migration and the integration of migrants can be managed against a background of population aging and crises. Zagheni's methodological focus is also on developing a digital demography - in other words, implementing techniques that turn the traces people leave on the internet and on social media into data suitable for use in demographic research.

http://www.zagheni.net/index.html

Event Type:Colloquium Lecture
Visibility:D1, D2, D3, INET, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Language:English
Date, Time and Location
Date:Thursday, 2 May 2019
Time:11:30
Duration:60 Minutes
Location:Saarbr├╝cken
Building:E1 4
Room:024
Abstract
Social media and Web data offer new opportunities to improve demographic knowledge and to complement more traditional data sources. Facebook, for example, can be thought of as a large, but not representative, collection of demographic information about populations. Traditional demographic surveys are representative of the underlying population and have historical depth, but typically rely on relatively small samples that may generate noisy results, often published with a substantial delay from data collection. In this talk I discuss methodological approaches to combine the best of the two complementary sources. I present three main applications: (i) generating present and near-future predictions of migration stocks in the United States; (ii) evaluating the impact of natural disasters on migration, in particular the effect of Hurricane Maria on migration from Puerto Rico to the United States and return migration to Puerto Rico; (iii) assessing the extent to which Mexican immigrants to the US are culturally assimilating to the host society or to subgroups of the host population.
Contact
Name(s):Petra Schaaf
Phone:5000
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
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Created:
Petra Schaaf/MPI-INF, 04/29/2019 10:07 AM
Last modified:
Uwe Brahm/MPII/DE, 05/02/2019 07:01 AM
  • Petra Schaaf, 04/29/2019 10:18 AM
  • Petra Schaaf, 04/29/2019 10:15 AM -- Created document.