Sascha-Christopher Geschke

Sascha-Christopher Geschke is a PhD Candidate at the Bamberg Graduate School of Social Sciences, Otto-Friedrich University of Bamberg, affiliated with the Chair of Sociology (Social Stratification) within the Faculty of Social Sciences, Economics, and Business Administration. He holds a doctoral scholarship from the Hans-Böckler-Stiftung since January 2023 and has been actively engaged in research on social stratification since commencing his doctorate in October 2021.

His educational background includes:

• Bachelor’s and Master’s in Social Sciences from Humboldt-University Berlin (2014-2021)
• Bachelor thesis: ‘The Relevance of Social Capital for the Labor Market Integration of Refugees’
• Master thesis: ‘Poverty Dynamics over the Life Course – A Comparison of Poverty Trajectories for Natives and Immigrants’ using social sequence analysis

Geschke’s research centers on economic and ethnic inequalities, poverty dynamics across the life course, labor market structures, migration sociology, and digital transformation impacts. He specializes in empirical social research methods enabling causal interpretations, particularly longitudinal and sequence analysis. His work bridges theoretical sociology with policy implications in digital labor platforms and social stratification.

His publications reveal consistent focus on digital labor market transformations, analyzing platform economies through the lens of employee ratings systems and labor policy conflicts. The research demonstrates methodological rigor in causal inference while addressing contemporary issues in tertiary-sector work.

His scientific recognition includes:

• Doctoral scholarship from Hans-Böckler-Stiftung (2023–present)

Geschke secured competitive funding through the Hans-Böckler-Stiftung doctoral scholarship. While not currently supervising students as a PhD candidate, he previously mentored as a tutor for statistical methods at Humboldt-University Berlin (2015-2021), developing pedagogical expertise in quantitative research methods.

He maintains active involvement with the Socio-Economic Panel (SOEP) at the German Institute for Economic Research (DIW Berlin), having served as research assistant (2016-2021) and research associate (2022). His contributions include data generation, analysis, and development of couple/marital history files for longitudinal studies.