Head of working group: Prof. Dr. Michael Windzio
In "Migration and Urban Studies" the influence of ethnic, cultural and religious diversity on life courses in particular and on embeddings in social networks are investigated. A further focus is placed on migrational interlacings between countries observed from a global perspective.
The empirical work is based on theories of migration, of individual and collective decision-making processes, and of integration and assimilation. Methodologically, quantitative methods such as panel and event data analysis and network analysis are primarily applied.
Head of working group: Prof. Dr. Betina Hollstein
The field of activity "Qualitative Methods and Microsociology" is concerned with the interrelations between networks, the life course and social inequality. We are especially interested in how the capacity of relationships and networks changes after certain status passages. Are specific situations particularly risky? Who is particularly well or badly integrated? We are interested in the causes and effects of social inequality with respect to both life courses and networks. How do interaction and practice on the micro-level contribute to producing and reproducing social inequality?
Head of working group: Prof. Sonja Drobnič, PhD
The thematic focus of the working group 'Life Course, Family, and Work' lies at the interface between work and private life, the dynamics of life course trajectories of men and women in different family and household constellations, as well as the consequences for the wellbeing of individuals and families. Being one of the centers that run the German Family Panel (pairfam), family development in the life course is another important focus of the research group, examining systematic and patterned changes experienced by families as they move through their life course.
The newly established working group “Social Inequality and Social Structure Analysis” studies the dynamics of inequality in life course trajectories of men and women. We analyze how institutional and technological changes shape individuals’ life chances, often in a long-term perspective. We employ advanced quantitative methods, such as panel and multilevel analysis.