Christine Bauer is an assistant professor at the Human-Centered Computing group at the Department of Information and Computing Sciences at Utrecht University.
Her research activities center on interactive intelligent systems where she integrates research on intelligent technologies, the interaction of humans with the intelligent system, as well as their interplay. Thereby, she takes a human-centered computing approach, where technology follows humans’ and society’s needs. Central themes in her research are context and context-adaptivity. In the recent years, she worked on context-aware recommender systems and music recommender systems in particular. Her knowledge and experience with music and the music sector are particularly valuable assets for this research. A core interest in her research activities is multi-method evaluations. Further interests span manifold fields such as online self-disclosure and privacy, methods for designing context-adaptive systems, and the creative industries, in particular the music sector.
Her research and teaching activities are driven by her interdisciplinary background. She holds a Doctoral degree in Social and Economic Sciences (Business Informatics) (2009, with honors) and a Diploma (equivalent to Master) degree in International Business Administration (2002), both from the University of Vienna, Austria. Furthermore, she holds a Master degree (MSc) in Business Informatics (2011) from TU Wien (Vienna University of Technology), Austria. Further studies at the University of Wales Swansea (now: Swansea University), United Kingdom, the Konservatorium der Stadt Wien (now: Music and Arts University of the City of Vienna), Austria, and WU Vienna (Vienna University of Economics and Business), Austria.
Senior Postdoc Researcher (Elise Richter laureate) at the Institute of Computational Perception at Johannes Kepler University Linz, Austria. Postdoctoral Researcher at the Department of Information Systems and Information Management at University of Cologne (2015–2016). 2013 and 2015 Visiting Fellow at the School of Computer Science, Human-Computer Interaction Institute, Ubicomp Lab, at Carnegie Mellon University, Pittsburgh, PA, USA. Assistant Professor at the Department of Information Systems and Operations at WU Vienna (Vienna University of Economics and Business), Austria (2009–2015). Furthermore, she engaged in applied research as a Researcher at E-Commerce Competence Center (EC3), Austria (2007–2009), and Junior Key Researcher at Fachhochschulstudiengänge Burgenland (University of Applied Sciences), Austria (2006–2007). Furthermore, she did freelance research, for instance, for Research Studios Austria and the University of Vienna, Austria. Before starting her academic career, she worked as Manager Licensing New Media at Austria’s biggest collecting society AKM (Autoren, Komponisten, Musikverleger), Austria (2002–2006).
She is an experienced teacher in a wide spectrum of topics in computing and information systems, taught across 14 institutions in five countries. Utrecht University, The Netherlands (since 2020), Universität Innsbruck, Austria (2019–2020), University of Vienna, Austria (2008-2018), Danube University Krems, Austria (2015–2017), University of Applied Sciences Technikum Wien, Austria (2016–2017), WU Vienna (Vienna University of Economics and Business), Vienna, Austria (2009–2015), Ferdinand Porsche FernFH Studiengänge (University of Applied Sciences with distance learning), Vienna, Austria (2009–2015). Guest Lecturer at Jönköping University, Sweden (2020-2021), and the University of Popular Music and Music Business, Mannheim, Germany (2012–2015). She was an eTutor at the Department of Electronic Business at the University of Vienna, Austria (2007–2008), and a Tutor at the Business Informatics Group at TU Wien (Vienna University of Technology), Austria (2008–2009).
She is on the Editorial Board of ACM Transactions on Recommender Systems (TORS). She co-organized the Workshop on Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES) at RecSys 2021 and 2022, and the Workshop on Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe 2019) at UMAP 2019. At ACM Summer School on Recommender Systems 2019, she held an interactive tutorial session on Multi-Method Evaluation of Recommender Systems. At UMAP 2021, she held a tutorial on Multi-Method Evaluation of Adaptive Systems. Furthermore, she was co-chair of the Doctoral Symposium at RecSys 2021. Additionally, she engages in initiatives such as Women in Music Information Retrieval (WiMIR) and the Elise Richter Network, and at CHI 2022 and 2023, she served as Allyship Co-Chair. Moreover, she is repeatedly invited as a speaker or panelist at scientific and non-scientific events.
She has authored more than 100 publications, three of them awarded as best research paper, one received an award of excellence (highly commended paper), and four additional nominations for best paper awards. Best Reviewer Award at RecSys 2019, Outstanding Reviewer (Honorable Mention) at UMAP 2019, and Best Reviewer—Runner Up at RecSys 2018. Special Recognition for Outstanding Review at IUI 2022, CHI 2020, and RecSys 2020. She is a laureate of the prestigious Elise Richter grant for the project “Fine-grained Culture-aware Music Recommender Systems” (2017–2020) sponsored by Austrian Science Fund (FWF). She received the Dr. Maria Schaumayer prize for her dissertation and also for her Master’s thesis. Furthermore, she received a scholarship for the Summer School of European Science Days 2009: “The Economics of Art and Culture”, in Steyr, Austria.