Daniel Bedoya, the first PhD student (now graduated) in the ERC COSMOS project will give a lecture on how experts and non-experts mark up musical prosody in visual and aural representations of performed music, and how donated music streaming history data are used to assess equity, revenue distribution, and diversity in the digital age.
WED 26TH NOV 2025, 2PM, KCL STRAND S2.28
Daniel Bedoya, postdoctoral researcher at University of Lille to give talk at KCL Strand campus as part of the MARC Seminar Series, refreshments courtesy of the NMES Research Culture Fund.
If you are unable to attend in person, you may use the following MS Teams link to attend the event virtually : MARC Seminar Talk – Daniel Bedoya | Meeting-Join | Microsoft Teams
Title : Human-Centered Music Data Analytics: Examining prosodic structure and algorithmic fairness through participatory music datasets
Abstract : This talk focuses on data analytics and citizen science methods applied to music, highlighting the role of the human-in-the-loop in two areas: music performance analysis and algorithmic recommendations. First, we will explore how music descriptors are extracted and used to create visualisations in the interactive audio–visual annotation platform CosmoNote, and how both experts and non-experts place markings that reveal underlying structures in piano performances via the concept of musical prosody. Key results from two experiments using these methods will be presented. Second, we will examine how donations of listeners’ music streaming history data are used to assess equity, revenue distribution, and diversity in the digital music era. User-centric parametric platform controls and a fairness score are the primary outcomes of this research.
Speaker : Daniel Bedoya is a postdoctoral researcher at the GERiiCO Laboratory at the University of Lille. His doctoral research at the Institut de Recherche et Coordination Acoustique / Musique (IRCAM) and Sorbonne Université in Paris, France, focused on musical prosody and structure through the analysis of annotations in performed music. Currently, he is part of the Computer Science and Data Science Research Hub, working to assess equity and diversity of music streaming platforms within the Fair MusE EU Horizon Europe research project.
Learn more about Daniel Bedoya at https://danielbedoya.notion.site/Daniel-Bedoya-R-28f60c816c4f416280b4a2f3e2add394
