Christian Koß, M.A., studied mathematics with minors in computer science and psychology at the University of Bremen from 2008-2013. His respective majors were probability theory, algorithms, and social psychology. From 2013-2016, he then studied sociology at the University of Bremen with a focus on network theory and actor theory in a political context. From 2016-2018, he earned a Master of Arts in Sociology and Social Research at the University of Bremen with a focus on sentiment analysis. From 2019-2021, he was a research assistant in the Computational Social Science department at the University of Stuttgart. Since October 2019, he has been working as a research assistant in the division “Communication and Media Studies I” at the Department of Social Sciences at Heinrich Heine University Düsseldorf.

• Acteur theory focusing on political Transformation
• Network theory focusing on Social Network Analysis
• Natural Language Processing focusing on Sentiment Analysis
• Machine Learning focusing on Deep Learning

Current Project [DD4P]

Wieczorek, O., Unger, S., Riebling, J., Erhard, L., Koß, C., & Heiberger, R. (2021). Mapping the field of psychology: Trends in research topics 1995–2015. Scientometrics, 126, 9699–9731. https://doi.org/10.1007/s11192-021-04069-9

Bergmann, H., Geese, L., Koss, C., & Schwemmer, C. (2018). Using legislative speech to unveil conflict between coalition parties. SocArXiv. https://doi.org/10.31235/osf.io/pgnwa

Heiberger R.H., & Koss C. (2018) Computerlinguistische Textanalyse und Debatten im Parlament. In: Brichzin J., Krichewsky D., Ringel L., Schank J. (Hrsg.) Soziologie der Parlamente. Politische Soziologie. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-19945-6_15