Thirty minutes of organ solo music performed by local musicians. Bring lunch or purchase at the Crossroads Cafe.

Daniel Forger is a professor of Mathematics and research professor of Computational Medicine and Bioinformatics at U-M. He is also an associate of the American Guild of Organists, won a McCord Prize in Music, and has studied organ performance with many teachers, including James Kibbie.

Public Health is currently being revolutionized by mathematical techniques analyzing "Big Data." Can similar techniques can be used to understand music? Forger argues that organ music has been subject to "Big Data" for at least 100 years, as modern keyboard action transforms each note played into a simple on and off command to a pipe. He will also argue that the Bach Trio Sonatas are ideal candidates for "Big Data" analysis since Bach is the natural starting point for musical analysis, the trio sonatas were important to Bach, and the trio sonatas have a very uniform structure. Forger has captured this code generated by my performance of the Trio Sonatas, by hacking into the modern organ in his home, and analyzed it, using some preliminary mathematical techniques. As he performs the Trio Sonatas, graphs showing preliminary analysis will be presented.

PROGRAM: Bach- Trio Sonata #2, BWV 526; Trio Sonata #4, BWV 528