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"CRIM Intervals: Teaching a Machine to Read (and Understand) Renaissance Music with MEI and Music21" is hosted by the Music Encoding Initiative's Pedagogy Interest Group.

Music21 is familiar to many in the music encoding community as a powerful Python library for music analysis.  But it can be challenging to use in a pedagogical environment.  CRIM Intervals(part of the Citations:  The Renaissance Imitation Mass) now makes it surprisingly easy for students and scholars to find, analyze, and visualize all kinds of patterns (melodic, harmonic, rhythmic, contrapuntal) found in encoded scores (MEI, MusicXML, even MIDI), using PANDAS (Python for Data Analysis), all in an interactive Jupyter Notebook environment that is easily accessible without elaborate local installation of software.

In this session, Richard Freedman (John C. Whitehead 1943 Professor for the Humanities; Chair and Professor of Music at Haverford College) will explain the workings of CRIM Intervals, and demonstrate what can be done with Jupyter Notebooks as we search for melodic subjects, harmonic patterns, fugal entries, cadences, and more. Our notebooks will also run in via a server hosted at Haverford College, so anyone in the session can try them out!

Project links: https://crimproject.org/ | https://sites.google.com/haverford.edu/crim-project/search-and-analysis | https://github.com/HCDigitalScholarship/intervals