Christine Bauer

Christine Bauer is a Professor of Interactive Intelligent Systems at the Department of Artificial Intelligence and Human Interfaces (AIHI), University of Salzburg, Austria. She is also Co-Lead of the interdisciplinary focus area InterMediation. Music—Effect—Analysis at the inter-university organization Wissenschaft & Kunst. Her research lies at the intersection of artificial intelligence, human-computer interaction, and human-centered computing, with a strong emphasis on fairness, context-awareness, and multi-method evaluation in recommender systems.

• Doctoral degree in Social and Economic Sciences (Business Informatics), 2009, University of Vienna
• MSc in Business Informatics, 2011, TU Wien
• Diploma in International Business Administration, 2002, University of Vienna
• Study of Jazz Saxophone, Konservatorium der Stadt Wien

Her research interests center on interactive intelligent systems, particularly recommender systems in music and media, with a human-centered approach. She investigates how technology can align with societal and individual needs, focusing on fairness in algorithms, culture-aware recommendation, and multi-stakeholder evaluation. Her work often integrates interdisciplinary methods and real-world impact.

The recent publications highlight a consistent trend in fairness and diversity in music and news recommendation, cross-cultural user behavior, and evaluation frameworks. Her research bridges technical rigor with ethical considerations, particularly in algorithmic bias and artist equity. She has made significant contributions to understanding gender imbalance, cultural granularity, and user conformity in digital music ecosystems.

• Elise Richter laureate (FWF)
• 6 best paper awards, 5 nominations
• Women in RecSys Journal Paper of the Year Award (2023, 2024)
• 5 awards and 6 recognitions for reviewing excellence

Christine Bauer has supervised over 70 theses and taught at 17 institutions worldwide. She is deeply involved in academic service, including editorial roles (AE at TOIS, TORS, JITT), conference organization (RecSys, CHI, CIKM), and mentoring initiatives (WiMIR, LEA, Allyship at CHI). She leads impactful projects such as FairRecKit and SpART: Spotlight on Artists in Recommender Systems, aiming to create more equitable and transparent recommendation technologies. She frequently engages in public outreach through keynotes, media appearances, and policy discussions.

She is affiliated with the University of Salzburg as her primary institution and was previously associated with JKU Linz and the University of Klagenfurt. Her labs and research teams focus on interactive intelligent systems, music recommenders, and fair AI, often in collaboration with interdisciplinary partners in arts and social sciences.