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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

Authors/Collaborators are listed in alphabetical order.



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Wednesday, April 6 • 2:00pm - 4:30pm
Mining the Performance History of the New York Philharmonic from 1842-2015: Programming Trends and Performer Networks [P32]

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The recent release into the public domain of historical concert program data in XML format by the New York Philharmonic affords the opportunity of diachronic analysis of musical practice in the city, as reflected in the selected pieces performed and records of the participating performers themselves. First, time-series clustering of performance volume (number of performances per annum) over time factored on musical works (pieces) and their composers is performed to model how new music has been adopted by the ensemble. The orchestra's discovery and adoption of music can be characterized as a Fourier decomposition of the performance volume time-series. Then, nodes on a social network are given by the population of performers named in the database; edges between two nodes indicate a collaborative performance. The interactions between these adoption profiles and their performers are studied and general trends in the musical performance history of the New York Philharmonic are inferred.

Demo/Poster Presenter
EB

Eamonn Bell

PhD Candiate in Music Theory, Graduate School of Arts and Sciences
Eamonn Bell graduated from Trinity College, Dublin with a B.A. (Mod.) Mathematics and Music in June 2013. He was awarded the University Gold Medal for performance in the degree examinations. He was awarded the Geoffrey Singleton Prize and the Mahaffy Memorial Prize for "an essay on the theory or history of music, embodying some original research", for his B.A. dissertation on a model for fugal counterpoint in the music of Byrd.  He... Read More →


Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (2)