Aniko Hannak

Prof. Aniko Hannak is an Assistant Professor in the Department of Informatics at the University of Zurich. She earned her PhD from Northeastern University under advisors Alan Mislove and David Lazer, focusing on algorithmic auditing methodologies. Her research addresses societal impacts of large online systems, including filter bubbles, price discrimination, and labor market inequalities. She pioneered Algorithmic Auditing to uncover biases in search engines, freelance platforms, and e-commerce systems.

Education: PhD in Computer Science from Northeastern University (2016), BSc in Applied Math from Eötvös Lóránd University (2010). Professional Experience includes roles at CSH & WU Vienna, CEU Budapest, and GESIS Köln.

• Research Interests: Algorithmic Transparency, Fairness in AI, Online Labor Markets, Digital Ethics

Awards include the Best Presentation Award at the 2017 European Symposium on Societal Challenges and a $113k grant from the Russel Sage Foundation. Her work has been featured in Bloomberg, MIT Tech Review, and The Wall Street Journal.

Teaching includes courses on data processing, Python for data management, and digital trace data biases. She organizes conferences on fairness in AI and computational social science, and has served on program committees for ICWSM, FAT*, and WWW.

Key contributions include exposing racial/gender disparities in gig economies, developing fairness frameworks for sharing platforms, and analyzing feedback loops in automated decision systems.