Recent developments in technology allow in-depth analysis of all available music recordings. The study of such a large body of data brings us one step closer to understanding one of the most complex human achievements: Music. Why do we make music, how did it evolve over time and how does musical taste work?
As we consume music in the age of technology, we not only receive data in form of recordings, but also create data when we listen to music. Algorithms of online music services analyze what, when and how we listen. They predict what we seem to like, and what we don’t.
This panel discusses the areas in which big data and music intersect with a focus on applications in health, life-sciences and education.