Keynote speakers

Supporting user control for music recommendations [slides]

Nava Tintarev

http://navatintarev.com/

Bio: Nava Tintarev is an Assistant Professor and Technology Fellow at Delft University of Technology. She completed her PhD at the University of Aberdeen in 2010, and was previously an Assistant Professor at Bournemouth University (UK). She has published over 60 peer reviewed papers, primarily on improving the transparency in, and decision support for, recommender systems. She in on the management team for Delft Design for Values and an active member of Delft Data Science, where she is contributing to bringing together, integrating, and expanding existing practices and expertise for responsible data science. She acts as a senior member of the program committee for the ACM Conference on Intelligent User Interfaces, the ACM Recommender Systems Conference, and the Conference on User Modeling Adaptation and Personalization. She is serving as a Program Chair for the Intelligent User Interfaces conference 2020 in Cagliari. This year she is also co-organizing a UMUAI Special issue on ``Fair, Accountable, and Transparent Recommender Systems’’.

Platforms, Promotion, and Product Discovery: Evidence from Spotify Playlists [slides]

Luis Aguiar

http://www.luis-aguiar.com/

Bio: Luis Aguiar is Assistant Professor in Management of the Digital Transformation at the University of Zurich, Switzerland. His main research interests are in the economics of digitization, with a particular focus on the effects of technological change on firms, consumers, markets, and welfare. A large part of his research has focused on the music industry, analyzing the effects of digitization on the supply of recorded music, the interaction between distinct music consumption channels, and the welfare effects of music trade. He has also studied how music streaming platforms affect content availability, production, and music consumption patterns.