Staff profile
Professor Nick Collins
Professor

Affiliation | Room number | Telephone |
---|---|---|
Professor in the Department of Music | 201, Main Building | +44 (0) 191 33 42875 |
Biography
Nick Collins' research interests include live computer music, musical artificial intelligence, and computational musicology, and he is a frequent international performer as composer-programmer-pianist, from algoraves to electronic chamber music. He co-edited the Cambridge Companion to Electronic Music (Cambridge University Press 2007) and The SuperCollider Book (MIT Press, 2011), wrote the Introduction to Computer Music (Wiley 2009) and co-wrote Electronic Music (Cambridge University Press Introductions series, 2013). Sometimes, he writes in the third person about himself, but is trying to give it up.
Media Contacts
Available for media contact about:
- Music: Music and Artificial Intelligence
- Music: Computer Music
- Music: History of Electronic Music
Publications
Chapter in book
- Collins, Nick (2022). Jack Code's Rebellion. In Live Coding: A User's Manual. Blackwell, Alan, Cocker, Emma, Cox, Geoff McLean, Alex & Magnusson, Thor MIT Press. 64-65.
- Collins, Nick (2020). The Future of Rhythm. In The Cambridge Companion to Rhythm. Hartenberger, Russell & McClelland, Ryan Cambridge: Cambridge University Press.
Conference Paper
- Collins, Nick, Ruzicka, Vit & Grierson, Mick (2020), Remixing AIs: mind swaps, hybrainity, and splicing musical models, 1st Joint Conference on AI Music Creativity. Stockholm.
- Collins, Nick & Knotts, Shelly (2019), A Javascript Musical Machine Listening Library, International Computer Music Conference Proceedings International Computer Music Conference. New York, The International Computer Music Association, San Francisco, 383-387.
- Collins, Nick (2019), Sonification of the Riemann Zeta Function, in Vickers, Paul Grohn, Matti & Stockman, Tony eds, International Conference on Auditory Display. Newcastle upon Tyne, England, Georgia Institute of Technology, Newcastle upon Tyne, 36-41.
- Collins, Nick (2010), Computational analysis of musical influence: A musicological case study using MIR tools, in J. Stephen Downie, & Remco C. Veltkamp eds, Proceedings of the 11th International Society for Music Information Retrieval Conference: 11th International Society for Music Information Retrieval Conference (ISMIR 2010). Utrecht, The Netherlands, International Society for Music Information Retrieval, Utrecht, 177-182.
Journal Article
- Collins, Nick (2020). Composition in the Age of AI. Ideas Sónicas 23.
- Collins, Nick (2018). “…there is no reason why it should ever stop” Large-scale Algorithmic Composition. Journal of Creative Music Systems 3(1).
- Collins, Nick, Manning, Peter & Tarsitani, Simone (2018). A new curated corpus of historical electronic music: Collation, data and research findings. Transactions of the International Society for Music Information Retrieval 1(1): 34-55.
- Collins, N. (2017). Corposing a History of Electronic Music. Leonardo Music Journal 27: 47-48.
- Collins, Nick (2016). Towards Machine Musicians Who Have Listened to More Music Than Us: Audio Database-led Algorithmic Criticism for Automatic Composition and Live Concert Systems. Computers in Entertainment 14(3): 2.
- Collins, Nick (2016). A funny thing happened on the way to the formula: Algorithmic composition for musical theatre. Computer Music Journal 40(3): 41-57.
- Collins, Nick (2016). Live Coding and Teaching SuperCollider. Journal of Music, Technology & Education 9(1): 5-16.
- Collins, Nick (2015). The Ubuweb Electronic Music Corpus: An MIR investigation of a historical database. Organised Sound 20(1): 122-134.
- Collins, Nick (2012). Automatic Composition of Electroacoustic Art Music Utilizing Machine Listening. Computer Music Journal 36(3): 8-23.
- Collins, Nick (2011). Live Coding of Consequence. Leonardo 44(3): 207-211.
- Collins, Nick (2008). The Analysis of Generative Music Programs. Organised Sound: An International Journal of Music and Technology 13(3): 237-248.
Other (Digital/Visual Media)
- Collins, N (2013). SuperCollider Music Information Retrieval Library.
Report