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In October 2022 I started working at GESIS in the CSS department as a doctoral student.

In 2022 I graduated from my master's programm in sociology at the Ruperto Carola in Heidelberg and received the alumni award of the faculty of economics and social sciences.

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My main research interest is in the area of social network analysis (SNA). To top



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Chapter in an edited book

Borisova, Ekaterina, Raia Abu Ahmad, Georg Rehm, Ricardo Usbeck, Jennifer D’Souza, Markus Stocker, Sören Auer, Judith Gilsbach, Anastasia Wolschewski, Johannes Keller, Daniel Schneider, Thomas Neumuth, and Sonja Schimmler. 2023. "NFDI4DS Transfer and Application." In INFORMATIK 2023. Designing Futures: Zukünfte gestalten. 26. – 29. September 2023, Berlin, Lecture Notes in Informatics (LNI) - Proceedings, edited by Maike Klein, Daniel Krupka, Cornelia Winter, and Volker Wohlgemuth, Series of the Gesellschaft für Informatik (GI) 337, 925-929. Bonn: Köllen Druck+Verlag GmbH.


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Presentation at a conference

Weiß, Bernd, Joachim G. Piepenburg, Anna Hebel, Sebastian Stier, Frank Mangold, Judith Gilsbach, and Laura Latocha. 2023. "Poster on "The new GESIS Survey data linked with digital behavioral data"." 15. Workshop der Panelsurveys im deutschsprachigen Raum, 2023-03-30.

Gilsbach, Judith, and Johannes Stauder. 2023. "The evolution of freshmen networks during and after lockdown: comparing two cohorts: Poster-Presentation." NetSci 2023, Universität Wien, Wien, 2023-07-12.

Gilsbach, Judith. 2023. "The Impact of Multiple Imputation Techniques for Longitudinal Social Network Data: How is the analysis result influenced by the imputation technique and the analysis method?" Poster Presentation at ATLASS, Universität Bielefeld, 2023-03-15.

Gilsbach, Judith, Joachim G. Piepenburg, Frank Mangold, Sebastian Stier, and Bernd Weiß. 2023. "The influence of pre- and post-paid incentives on the willingness to participate in web tracking stud-ies." Conference of the European Survey Research Association (ESRA), 2023-07-17.


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Gilsbach, Judith, and Daniel Wagner. 2023. "Introduction to R." GESIS - Leibniz-Institut für Sozialwissenschaften, Köln.