6th Workshop on Computational Linguistics for the Political and Social Sciences (CPSS)

14-15/09/2026 @ KONVENS (Hamburg)

This is the 6th edition of the workshop on Computational Linguistics for the Political and Social Sciences (CPSS), co-located with the KONVENS conference. Our main goal is to bring together researchers and ideas from computational linguistics/NLP and the text-as-data community from political and social science, to foster collaboration and catalyze further interdisciplinary research efforts between these communities.

Thank you for your participation in CPSS 2026!

Location

Lecture Hall D
Philosophenturm
Von-Melle-Park
620146 Hamburg

Organizers

Dennis Assenmacher is a postdoctoral researcher in the Department of Computational Social Science at the Leibniz Institute for the Social Sciences (GESIS). His research focuses on harmful communication in online media (hate speech, abusive language, dehumanization, social bots), more specifically on developing state-of-the-art computational methods in the NLP domain to this harmful content.
Agnieszka Faleńska is a computational linguist with a strong interest in the design, interpretability, and analysis of NLP architectures. She leads an independent research group in the Interchange Forum for Reflecting on Intelligent Systems (IRIS) at University of Stuttgart. She was a local co-organizer of the 16th ACM Web Science Conference 2024, co-organized ALGO 2014, and two editions of GeBNLP workshop in 2024 and 2025.
Christopher Klamm is an interdisciplinary researcher with a background in Computer Science and Political Science. He is pursuing a PhD at the University of Mannheim, serving as a senior researcher at the Cologne Center of Comparative Politics, and is currently a research associate at Oxford’s Computational Political Science Group. His research combines computational social science and traditional social science methods.
Gabriella Lapesa is a junior professor for Responsible Data Science and Machine Learning at HHU Düsseldorf and a team lead for Data Science methods at GESIS. He research interests include argument mining and deliberation, human label variation, and more broadly the interface of AL/LLMs and society, with the challenges, risks, and potential.
Simone Paolo Ponzetto holds the chair of Information Systems III (Enterprise Data Analysis) at the University of Mannheim, where he leads the Natural Language Processing and Information Retrieval group. His research interests include research on text understanding and its interdisciplinary application in the Social Sciences and Humanities.
Franziska Weeber is a PhD student at the Institute for Natural Language Processing at the University of Stuttgart and a guest researcher at the chair for Machine Learning at Humboldt Universität zu Berlin. Her research interests include how to measure and explain social and political opinions and biases in NLP models.