Modeling the career trajectory of music artists
Description
Many musicians, from up-and-comers to established artists, rely heavily on performing live to promote and disseminate their music. To advertise live shows, artists often use concert discovery platforms that make it easier for their fans to track tour dates. In this project, we ask whether digital traces of musical performances generated on those platforms can be used to understand career trajectories of artists. We have amassed a dataset we constructed by cross-referencing data from such platforms (Songkick, and Discogs). In this project, you will identify and explore patterns that can be used to identify successful musicians.
Advisors
Skills Required by the team
- Python