Christine Bauer is an Assistant Professor at Utrecht University, The Netherlands. She is recipient of the Elise Richter excellence grant for the project “Fine-grained Culture-aware Music Recommender Systems” (2017-2020) sponsored by Austrian Science Fund (FWF). Her research activities center on interactive intelligent systems where her research vision is to leverage intelligent systems and embed them into sociotechnical ecosystems to benefit humans and society. In her research, she takes a human-centered perspective, where technology follows humans’ and the society’s needs.
Her research and teaching activities are driven by her interdisciplinary background. She holds a Doctoral degree in Social and Economic Sciences, a Master degree in Business Informatics, and a Diploma degree in International Business Administration. In addition, she pursued studies in jazz saxophone.
Christine has authored more than 100 papers in refereed journals and conference proceedings, and holds several best paper awards as well as awards for her reviewing activities.
Eva Zangerle is an Assistant Professor at the University of Innsbruck at the research group for Databases and Information Systems (Department of Computer Science). She earned her master’s degree in Computer Science at the University of Innsbruck and subsequently pursued her Ph.D. from the University of Innsbruck in the field of recommender systems for collaborative social media platforms. Her main research interests are within the fields of music recommender systems, social media analysis and information retrieval. Over the last years, she has combined these three fields of research and investigated context-aware music recommender systems based on data retrieved from social media platforms aiming to exploit new sources of information for recommender systems. She was awarded a Postdoctoral Fellowship for Overseas Researchers from the Japan Society for the Promotion of Science allowing her to make a short-term research stay at the Ritsumeikan University in Kyoto.