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Thematic Conference

Technological Change, Digitalization and Life Course Inequalities

Technological change has major implications for social inequality. Most of the research focuses on changes in skill requirements and labor market transformations. Yet, digitalization, more than ever before, has the potential to impact inequalities across a wide range of life domains and for different groups in society. This workshop aims to connect researchers to discuss the most important developments and challenges that digitalization has for inequality. The aim is to stimulate and cross-fertilize research on digitalization and inequality regarding various dimensions of the life course and life periods/stages, across various institutional settings. Example questions are: Are gender inequalities intensified or alleviated by technological changes? Do digital technologies foster family relations across generations? What are the implications of changes in skill requirements at work for the reproduction of social inequality? Can elderly benefit from technological advancements or are they left behind? How doesdigitalization impact ethnic inequalities and segregation (e.g., language barriers, labor market integration)?

Keynote Speakers
Mario L. Small, Harvard University
Glenda Quintini, OECD

ECSR Thematic Conference

For registration, please contact simone.ruiz@uni-bremen.de

The world-wide gender gap in education depends not just on countries' economic performance, but also on cultural factors. However, world cultures are not fixed entities. Rather, culture is a characteristic of groups as well as of (world-)regions. How do global cultures moderate women's low education? Based on data of the World Value Survey, this study applies Latent Profile Analysis to generate a fuzzy-set typology of cultures in the world, but based on individuals instead of nation states. Individuals do not belong exclusively to one culture, but to several cultures simultaneously, with varying probabilities. In the second step, cross-classified logistic multilevel models test the country-time specific effects of 'female' on the risk of getting (at best) low education, controlling for various individual and country-specific factors. Cross-level interactions show that the 'female' effect on low education is indeed moderated by world cultures, but neither world cultures, economic factors nor individual characteristics completely explain the strength of the female effects.

Zoom-Link zur Veranstaltung
Kalender-Eintrag

The world-wide gender gap in education depends not just on countries' economic performance, but also on cultural factors. However, world cultures are not fixed entities. Rather, culture is a characteristic of groups as well as of (world-)regions. How do global cultures moderate women's low education? Based on data of the World Value Survey, this study applies Latent Profile Analysis to generate a fuzzy-set typology of cultures in the world, but based on individuals instead of nation states. Individuals do not belong exclusively to one culture, but to several cultures simultaneously, with varying probabilities. In the second step, cross-classified logistic multilevel models test the country-time specific effects of 'female' on the risk of getting (at best) low education, controlling for various individual and country-specific factors. Cross-level interactions show that the 'female' effect on low education is indeed moderated by world cultures, but neither world cultures, economic factors nor individual characteristics completely explain the strength of the female effects.

Zoom-Link zur Veranstaltung
Kalender-Eintrag

Spring Conference of the Section on Social Network Analysis of the German Sociological Association (DGS), February 6 / 7, 2020

Conference program

Ken A. Bollen is the Henry Rudolph Immerwahr Distinguished Professor in the Department of Sociology and the Department of Psychology and Neuroscience at UNC at Chapel Hill.  He is a faculty member in the Quantitative Psychology Program in the Thurstone Psychometric Laboratory.  He also is chair of the Methods Core and a Fellow of the Carolina Population Center and a Faculty member of the Center for Developmental Science. Since 1980 he has been an instructor in the ICPSR Summer Program in Quantitative Methods of Social Research. Bollen's primary areas of statistical research are in structural equation models, longitudinal methods, and latent growth curve models.

Registration:
E-Mail to Johannes Nostadt (nostadt@uni-bremen.de)