The workshop “Computational Social Science: AI and Society – Exploring Inequality in the Digital Age” is an upcoming interdisciplinary event organized by researchers from the Mannheim Centre for European Social Research (MZES), the University of Duisburg-Essen, the University of Bremen, LMU Munich, and Bielefeld University. It brings together scholars from sociology, political science, computer science, communication, economics, digital humanities, and data science. At its core is the question of how the growing development and presence of artificial intelligence (AI) are transforming these disciplines and what opportunities and challenges AI poses for understanding inequality in the digital age.
As part of this workshop, Ahrabhi Kathirgamalingam, researcher within the CAIS research program “Societal Cohesion in Digital Media Environments” presents a poster on May 16, 2025 that visualizes key findings from four studies in her dissertation. Her research explores the opportunities and challenges of detecting racism in textual data using computational methods. She addresses questions such as: How are computational approaches used to identify racism? What role do human bias and the biases of large language models (LLMs) play? And how can marginalized perspectives be incorporated into computational social science methods?
To the poster: https://ahrkat.github.io/files/Inequality_CSS_Kathirgamalingam_Poster.pdf
Further information on the workshop can be found on the website: https://computational-social-science.org/workshops/2025.html