Published multiple papers in journals such as Nature, Science, including 'Measuring Algorithmically Infused Societies' and 'Computational social science: Obstacles and opportunities'; Presented papers on methodological issues of digital behavioral data at Public Opinion Quarterly, EMNLP, ICWSM; Research areas include inequalities, bias, and harms.
Research Experience
Organized interdisciplinary training events for early career researchers; Board Member of the International Society for Computational Social Science; Associate editor of EPJ Data Science; Steering Committee Member of the International AAAI Conference on Web and Social Media.
Background
Full professor (W3) for Applied Computational Social Sciences at RWTH Aachen, Scientific Director of the Computational Social Science department at GESIS - Leibniz Institute for the Social Sciences, and an external faculty member of the Complexity Science Hub Vienna. Her research focuses on understanding how societies are impacted by online platforms and Artificial Intelligence. She is also passionate about methodological challenges that arise when using digital behavioral data to study individual behavior, attitudes, and group dynamics.