Julia Neidhardt

Julia Neidhardt is a researcher at the Research Unit Data Science at TU Wien informatics, with a background in mathematics and computer science. She has been a guest researcher at the Austrian Academy of Sciences and a visiting scholar at Northwestern University and the University of Geneva. Her work focuses on user modeling and recommender systems in tourism and news, online opinion-forming, and Digital Humanism. Julia’s research is published in prestigious journals like Nature Human Behaviour. She has been invited to speak at events such as the Oxford Women in Computer Science Distinguished Speaker Series. Julia is a senior program committee member of the ACM Conference on Recommender Systems (RecSys), an associate editor of the Journal of Information Technology & Tourism, and a distinguished reviewer for ACM Transactions on Recommender Systems (TORS). She served as the research track co-chair for ACM UMAP 2023, ENTER 2020, and ENTER 2019, and has co-organized numerous workshops and conferences. Julia is part of the Digital Humanism Initiative at TU Wien, a board member of the Center for Artificial Intelligence and Machine Learning (CAIML), and leads the Christian Doppler Lab for Recommender Systems at TU Wien. Since 2023, she is the UNESCO Co-Chair on Digital Humanism.