MúsicaCL: computational music, culture, and networks

Sat, 30 May 2026 00:00:00 +0000

MúsicaCL is a creative research line at the intersection of music, data, and culture. The project explores how Chilean musical scenes, repertoires, collaborations, influences, and audiences can be studied with computational social science methods.

The project connects cultural analytics, network science, natural language processing, recommendation systems, and AI-assisted tools for discovering structure in musical catalogs and scenes. It also creates a bridge between CRiSS-LAB research on collective memory, cultural attention, and creative ecosystems.

MúsicaCL: studying music as a cultural network

Fri, 29 May 2026 00:00:00 +0000

Music is not only a set of tracks or artists. It is also a social system: collaborations, venues, genres, audiences, production teams, memories, platforms, and scenes that evolve over time.

MúsicaCL starts from that idea. The project asks how computational social science can help map Chilean music as a cultural network, connecting data about repertoires, influence, attention, and collaboration. This is close to our work on collective memory: some songs, artists, and scenes remain visible for decades, while others disappear from public attention even when they shaped a community.

The aim is both analytical and creative. Better cultural data can help us understand how scenes form, how attention circulates, and how local creative ecosystems can be made more visible.

Music | CRiSS-LAB

MúsicaCL: computational music, culture, and networks

MúsicaCL: studying music as a cultural network