MúsicaCL: computational music, culture, and networks

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.

Cristian Candia
Cristian Candia
Associate Professor and Head of CRiSS-LAB, School of Engineering and School of Government, Universidad del Desarrollo, Chile.

My research interests include collective behavior, collective and artificial intelligence, network science, and business analytics.