Christoph Kern
Photo credit: Daniela Haupt
| Course name | Credits | Details | Term |
|---|---|---|---|
| Seminar in Research Methods: Fundamentals of Computing and Data Display | 6 ECTS | Course details | summer term |
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Research Interests
- Machine/ Statistical Learning
- Fair and Interpretable ML
- Topics in Survey Research (Digital Trace Data, Sensor Data, Non-probability Samples)
- Statistics (Structural Equation Modeling)
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Career
Academic Career
Christoph Kern graduated in 2011 (Dipl.-Soz.-Wiss.) from the University of Duisburg-Essen (UDE), where he studied sociology with a focus on methods for empirical social science research. In 2016 he completed his PhD (Dr. rer. pol.) at the UDE with a thesis on „Modeling dyadic decision-making processes of regional mobility“.
Since 2017 Christoph Kern is a Post-Doctoral Researcher at the Professorship for Statistics and Methodology at the University of Mannheim. Before joining the University of Mannheim, he was a Research Associate at the Professorship for Empirical Social Research and Statistics at the University of Duisburg-Essen (2011-2017).
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Publications
- Kolb, J.-P., Weiss, B. & Kern, C. (2020). Using predictive modelling to identify panel nonresponse. In M. U. Mahidin (eds.), Proceeding ISI World Statistics Congress 2019 : Contributed paper session : 18 - 23 August 2019, Kuala Lumpur (S. 206–214). , Department of Statistics Malaysia (DOSM): Putrajaya.
- Bach, R. L., Kern, C., Amaya, A., Keusch, F., Kreuter, F., Hecht, J. & Heinemann, J. (2019). Predicting voting behavior using digital trace data. Social Science Computer Review : SSCORE, tba. https://doi.org/10.1177/0894439319882896
- Erlinghagen, M., Kern, C. & Stein, P. (2019). Internal migration, social stratification and dynamic effects on subjective well being. SOEP papers on Multidisciplinary Panel Data Research, 1046. Berlin: DIW.
- Kern, C., Klausch, T. & Kreuter, F. (2019). Tree-based machine learning methods for survey research. Survey Research Methods : SRM, 13(1), 73–93. https://doi.org/10.18148/srm/2019.v1i1.7395
- Kern, C., Weiss, B. & Kolb, J.-P. (2019). A longitudinal framework for predicting nonresponse in panel surveys. Ithaca, NY: Cornell University.
- Kern, C. & Stein, P. (2018). Modelling decision-making processes of regional mobility in a dyadic framework. European Sociological Review, 34(4), 433–451. https://doi.org/10.1093/esr/jcy012
- Stein, P. & Kern, C. (2018). Konzeption eines dyadischen Modells zur Analyse von Entscheidungsprozessen räumlicher Arbeitsmarktmobilität im Mehrebenenkontext. In S. Quack (eds.), Transnationalisierung der Arbeit (S. 71–95). Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-20939-1
- Kern, C. (2017). Dyadische Analyse regionaler Arbeitsmarktmobilität : Modellierung von Entscheidungsprozessen im Mehrebenenkontext . Wiesbaden: Springer VS. https://doi.org/http://doi.org/10.1007/978-3-658-17435-4
- Kern, C. & Stein, P. (2016). Effect comparison in multilevel structural equation models with non-metric outcomes. In JSM Proceedings : papers presented at the Joint Statistical Meetings ... and other ASA-sponsored conferences (S. 3892–3901). , American Statistical Association: Alexandria, VA. https://doi.org/10.2139/ssrn.2879551
- Kern, C. (2015). Modeling mobility dispositions from a multilevel perspective. Schmollers Jahrbuch, 135(1), 23–34. https://doi.org/10.3790/schm.135.1.23
- Kern, C. & Stein, P. (2015). Comparing coefficients of nonlinear multivariate regression models between equations. Survey Research Methods : SRM, 9(3), 159–167. https://doi.org/10.18148/srm/2015.v9i3.6211
- Stein, P. & Kern, C. (2015). Dyadische Modellierung regionaler Arbeitsmarktmobilität. In S. Lessenich (eds.), Routinen der Krise - Krise der Routinen : Verhandlungen des 37. Kongresses der Deutschen Gesellschaft für Soziologie in Trier 2014 (S. 520–531). , DFG: Trier.
- Kern, C. (2014). Regional Structures and Mobility Dispositions: A Multilevel Proportional- & Partial-Proportional Odds Approach. SOEP papers on Multidisciplinary Panel Data Research, 681. Berlin: DIW. https://doi.org/10.2139/ssrn.2493094
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Projects