When you listen to a Beethoven piano concerto, pick a song or channel to listen to on the web, send your kids to music lessons, or donate to your local symphony orchestra, do you think of data science? Unlikely. But data science is increasingly critical in the creative process and commercial activities of music. Using Big Data analytics, online music platforms tailor individualized song recommendations for their users; music theorists search for defining features in different types of music; computer scientists develop algorithms that can compose music in any style; behavioral scientists determine how to best engage concert goers; the list is endless. MIDAS recently established the Data Science for Music Research Hub and currently funds four projects. U-M has incredible depth in data science expertise and a world-class School of Music, Theatre and Dance, and with this hub, MIDAS hopes to:
- Build a collaborative network of Data Science for Music researchers, and help U-M stay at the national forefront in this research discipline.
- Promote innovative research ideas, disseminate tools and methods and maximize research sustainability.
- Form academic and industry partnerships and bring research findings to data science and music education and to the market.