MúsicaCL: Chilean music as collective memory
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 site is a public output of collective memory and cultural analytics work: 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.
Explore the output at musicacl.criss-lab.com.
Cristian Candia
Associate Professor, Data Science Institute, School of Engineering, Universidad del Desarrollo, Chile. Head of CRiSS-LAB.
Cristian Candia studies how societies transform information into collective relevance through attention, memory, preferences, and coordination. His work combines computational social science, network science, AI, and large-scale behavioral data to understand how groups, institutions, and societies decide what matters.