Veranstaltungen Prof. Dr. habil. Sabine Zinn

DIW Berlin

Mehr über Prof. Dr. habil. Sabine Zinn

Name

Prof. Dr. habil. Sabine Zinn

Contact

DIW Berlin
Mohrenstr. 58, 10117 Berlin
+49 30 897 89 340
szinn@diw.de

Education

  • 2019: Habilitation at University of Bamberg with teaching qualification for "Survey Statistics" and "Demography" (with honors)
  • 2011: PhD in Computer Science (“Modelling and Simulation”) of the University Rostock, Germany
  • 2006: Diploma in Business Mathematics, University of Jena, Germany

Professional Positions

  • Since 2022: Deputy Director of the Socio-Economic Panel at the German Institute for Economic Research in Berlin
  • Since 2020: W3-S Professorship for Social Science Methods with a focus on Survey Statistics at the Humboldt University Berlin, Germany
  • Since 2019: Head of the Survey Methodology and Management (SOEP Survey) at the German Institute for Economic Research in Berlin, Germany
  • 2016 – 2019: Head of the "Methods of Survey Statistics" department at the Leibniz Institute for Educational Trajectories e.V. (LIfBi), Bamberg, Germany
  • 2011 – 2019: Researcher in the "Methods" department of the National Education Panel / at the Leibniz Institute for Educational Trajectories e.V. (LIfBi), Bamberg, Germany
  • 2013 – 2016: Head of the "Methods" section of the National Educational Panel / at the Leibniz Institute for Educational Trajectories e.V. (LIfBi), Bamberg, Germany
  • 2013 – 2016: Researcher in the field of "International Migration" at the Max Planck Institute for Demographic Research, Rostock, Germany
  • 2007 – 2011: PhD student in the Department of Statistical Demography at the Max Planck Institute for Demographic Research, Rostock, Germany

Funding (selected and ongoing)

  • 2024 – 2026 "Video-interviewing a spart of a targeted muli-mode design in household panel surveys (CALVI)", in Infrastructure Priority Origramme “New Data Spaces for the Social Sciences”, DFG
  • 2024 – 2026 "ENTAILab – Research Infrastrucutre and Innovation Lab" in Infrastructure Priority Origramme "New Data Spaces for the Social Sciences", DFG
  • 2023 – 2025 Longitudinal Study on Refugees from Ukraine in Germany (SUARE): Data Infrastructure, Health and Discrimination", DFG
  • 2023 – 2025 "Simulation of educational trajectories taking latent decision-making processes into account” as part of research group “Cross-sectoral small-scale microsimulation model (MikroSim)", DFG
  • 2022 "Refugee families in Germany (GeFam 2)", Federal Ministry of Education and Research (BMBF)

Professional Activities and Memberships (selected)

Peer Review Activities

  • Since 2020: Reviewer for the Federal Ministry of Education and Research (BMBF) and for the German Research Foundation (DFG)
  • Since 2012: Reviewer for various scientific journals
  • Since 2023: Editorial Board of Survey Research Methods

Memberships

  • Since 2024: International Microsimulation Association
  • Since 2023: American Statistical Association
  • Since 2022: German Society for Sociology (DGS) with membership in focus group "Model building and simulation" and "Methods"

  • Since 2020: Board of Working Group of Social Science Institutes in Germany (ASI)

Honors and Recognitions (selected)

  • 2019: Habilitation Award of the University of Bamberg
  • 2007 - 2011: PhD Scholarship of the Max Planck Society

Ten key publications

  • Zinn, S., & Wolbring, T. (2023). Recent Methodological Advances in Panel Data Collection, Analysis, and Application, In Survey Research Methods. 17(3), 219-222.

  • Neuhauser, H., Rosario, A. S., Butschalowsky, H., Haller, S., Hoebel, J., Michel, J., Nitsche, A., Poethko-Müller, C. Prütz, F., Schlaud, M., Steinahuer, H.W., Wilking, H., Wieler. L. Schaade, L., Liebig, S. Gößwald, A., Grabka, M., Zinn, S., & Ziese, T. (2023). Germany's low SARS-CoV-2

    seroprevalence confirms effective containment in 2020: Results of the nationwide RKI-SOEP study. Scientific Reports (Nature).

  • Kühne, S., Kroh, M., Liebig, S., & Zinn, S. (2020). The Need for Household Panel Surveys in Times of Crisis: The Case of SOEP-CoV, Survey Research Methods, 14(2), 9999-10006.
  • Zinn, S., Landrock, U., & Gnambs, T. (2020). Web-based and mixed-mode cognitive large-scale assessments in higher education: An evaluation of selection bias, measurement bias, and prediction bias. Behavior Research Methods. 53(3), 1202-1217.
  • Zinn. S., & Gnambs, T. (2020). Analyzing Nonresponse in Longitudinal Surveys Using Bayesian Additive Regression Trees: A Nonparametric Event History Analysis. Social Science Computer Review. Online first: https://doi.org/10.1177/0894439320928242
  • Hammon, A., & Zinn, S. (2020): Multiple Imputation of Multilevel Data Using a Censored Bivariate Probit Model. Journal of the Royal Statistical Society (Series C). 69(3), 547-564.
  • Zinn, S., & Gnambs, T. (2018). Modeling Competence Development in the Presence of Selection Bias. Behavior Research Methods, 50(6), 2426-2441.
  • Willekens, F., Zinn, S., & Leuchter, M. (2017). Emigration Rates From Sample Surveys: An Application to Senegal. Demography, 54(6), 2159-2179.
  • Klabunde, A., Zinn, S., Willekens, F., & Leuchter, M. (2017). Multistate Modelling Extended by Behavioural Rules: An Application to Migration. Population Studies, 71(sup1), 51-67.
  • Zinn, S. & A. Würbach (2015). A Statistical Approach to Address the Problem of Heaping in Self-Reported Income Data. Journal of Applied Statistics. 43(4), 682-703.