Description

Music and sound collections are not only repositories of recordings and artefacts; they are also information systems. Collections and datasets, controlled vocabularies and taxonomies, algorithms, and search interfaces shape what becomes visible, comparable, and researchable, potentially introducing biases and reinforcing stereotypes. These issues resonate across various fields, including information science, libraries and archives, museums and heritage institutions, music technology and musicology, as well as in artistic and research-creation practices that engage with datasets and collections.

This Research Axis 2 workshop at CIRMMT will explore these themes through a series of presentations followed by a panel discussion. The workshop will feature Prof. Rebecca Fiebrink (UAL), whose work on interactive and human-centred ML has influenced contemporary creative practice. She also participated in the UKRI/AHRC “Transforming Collections: Reimagining Art, Nation and Heritage” project, which applied interactive and participatory machine learning to support new ways of engaging with cultural collections across institutions.

Call for works

We invite proposals from researchers, artists, librarians, archivists, museum professionals, students, and practitioners working on bias in music information research and cultural collections. Submissions can be a short talk, demo, prototype, work-in-progress, or case study involving empirical or theoretical research on music datasets and collections, particularly where taxonomy design, documentation practices, gaps in representation, or annotation strategies shape research outcomes.

Submission form: https://forms.cloud.microsoft/r/rMDsfG0qP6

Deadline for submission: March 2, 12:00 pm.

Registration

The workshop is free and open to all; however, fill out the registration form by March 5 for food planning.

https://forms.cloud.microsoft/r/HZtLAzaLK0