معرفی
Claudia Wagner is a full professor (W3) of Applied Computational Social Sciences at RWTH Aachen University and Scientific Director of the Computational Social Science Department at GESIS – Leibniz Institute for the Social Sciences. She also serves as an external faculty member at the Complexity Science Hub Vienna. Her research focuses on societal impacts of online platforms and AI, methodological challenges of digital behavioral data, and algorithmic bias. She has organized interdisciplinary training events, including the CSS Methods Summer School, and holds leadership roles in organizations like the International Society for Computational Social Science and AAAI's Web and Social Media Conference.
Her academic journey includes prominent roles at RWTH Aachen and GESIS, alongside teaching computational social science courses and supervising numerous PhD students. Key research areas include validation frameworks for computational measures (ValiText), gender inequality in science, and fairness in algorithmic systems. Her work bridges social science theory with technical methods, addressing ethical challenges in data-driven research.
Publications highlight contributions to data quality frameworks, algorithmic fairness, and digital trace analysis. Notable outputs include foundational papers on measuring algorithmically infused societies (Nature, 2021) and gender disparities in computer science (2018). She actively engages in policy discussions and serves on editorial boards, ensuring her research impacts both academia and society.
Advising spans topics like dehumanization measurement, validation approaches, and bias in rankings. Her labs and collaborations focus on interdisciplinary teams addressing societal challenges through computational methods. Current projects include exploring AI psychometrics and counterfactually augmented data's role in bias mitigation.
