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Intergenerational social networks and social integration
08 May 2024, 1:00 pm–2:00 pm
Join this event to hear insights by Zsófia Boda on immigrant integration via school friendships and parental networks in Europe.
This event is free.
Event Information
Open to
- All
Availability
- Yes
Cost
- Free
Organiser
-
Tobias Ruttenauer
Location
-
Room G0555-59 Gordon SquareLondonWC1H 0NUUnited Kingdom
An important micro-level indicator of immigrant integration is the prevalence of cross-ethnic friendships in society. Social networks of immigrants and their children are typically segregated along ethnic lines, but the degree of segregation varies across individual and community characteristics.
Schools provide a unique opportunity for students to meet and befriend ethnically different peers, and friendships between students may lead to social tie formation between the parents. This way, the social integration of immigrant students can contribute to the social integration of their parents, who might otherwise not have access to non-immigrant networks.
This event is part of the Quantitative Social Science Seminar series and will be particularly useful for those interested in immigrant integration, social networks, ethnic segregation, education.
Useful links
About the Speaker
Zsófia Boda
Senior Lecturer (Associate Professor) at University of Essex
Zsófia Boda is a Senior Lecturer (Associate Professor) at the University of Essex, where she shares her time between the Department of Sociology and the Institute for Social and Economic Research (ISER). At ISER, she is a member of the ESRC Research Centre on Micro-Social Change (MiSoC). She also holds a Humboldt Research Fellowship for Experienced Researchers at the Berlin Institute for Integration and Migration Research, awarded by the Alexander von Humboldt Foundation.
Her work focuses on understanding social inequalities along immigrant background, race, ethnicity, socioeconomic status, and gender. She studies how social processes in the education system reinforce or counteract systematic differences between groups of students, employing state-of-the-art dynamic social network models.
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