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** The Music and Science list is managed by the Institute of Musical Research (www.music.sas.ac.uk) as a bulletin board and discussion forum for researchers working at the shared boundaries of science and music. ** MESSAGE FOLLOWS: Call for Papers, Presentations, Performances, Installations and Talks Numbers, Noises and Notes: Quantitative Data and Music Research Tuesday 16th June 2015 – The Sussex Humanities Lab, University of Sussex This one-day symposium is the culmination of an AHRC Collaborative Skills Project on Quantitative Data for Music Researchers run by the University of Sussex, in partnership with the Institute for Musical Research at The University of London School of Advanced Studies. The project featured a series of workshops, hosted at the IMR, covering a broad range of topics around the use of quantitative data in music research, creative practice and composition. These workshops were led by Daniel Müllensiefen (Goldsmiths), Joel Ryan (Sonology, The Hague/STEIM), and Stephen Rose (Royal Holloway) covering topics including: music and the brain, music as data, quantitative music analysis, data analysis tools, data visualization, audience analysis, time/space in performance, performance technologies, data sonification, big data and music history, text-mining, digitization and the archive/library. The symposium offers the opportunity to explore some of this territory in more depth, examining specific research projects, sharing compositional/creative practice and offering a forum for further discussion. Proposals are invited for short (10 to 20 minute) presentations, papers, and talks addressing quantitative data in music research. Proposals for short performances or installations are also encouraged, as are those that combine multiple forms. Topics could include, but are not limited to: - quantitative data in musicology - quantitative musical/sonic analysis - data analysis tools in music research - music data visualization - audience analysis - time/space data in performance - quantitative data and improvisation - quantitative data and performance technologies - data sonification - data/music multi dimensionality - big data and music - mining the ‘musical text’ - digitisation and the music archive/library - music and computation - quantitative data and music technology Please send a 250 word proposal/summary, details of any AV requirements, and a short biography to Danny Bright, [log in to unmask]<mailto:[log in to unmask]> by Friday 15th May. If you wish to send examples of practice or extracts of performance/installations/compositions, please send these as links to online materials.