European Research Council (ERC) Advanced Grant

Prize: Fellowship awarded competitively


ERC Advanced Grantees are active researchers who have a track-record of significant research achievements in the last 10 years, and who are exceptional leaders in terms of originality and significance of their research contributions. In the ERC-2017-ADG call, 269 proposals were selected from 2167 submissions; there were 13 (4 female PIs) in SH5 (Cultures and Cultural Production) and 14 (4 female) US nationals.

COSMOS: Computational Shaping and Modeling of Musical Structures

Objective: Music performance is considered by many to be one of the most breath taking feats of human intelligence. That music performance is a creative act is no longer a disputed fact, but the very nature of this creative work remains illusive. Taking the view that the creative work of performance is the making and shaping of music structures, and that this creative thinking is a form of problem solving, COSMOS proposes an integrated programme of research to transform our understanding of the human experience of performed music, which is almost all music that we hear, and of the creativity of music performance, which addresses how music is made. The research themes are as follows: i) to find new ways to represent, explore, and talk about performance; ii) to harness volunteer thinking (citizen science) for music performance research by focussing on structures experienced and problem solving; iii) to create sandbox environments to experiment with making performed structures; iv) to create theoretical frameworks to discover the reasoning behind the structures perceived and made; and, v) to foster community engagement by training experts to provide feedback on structure solutions so as to increase public understanding of the creative work in music performance. Analysis of the perceived and designed structures will be based on a novel duality paradigm that turns conventional computational music structure analysis on its head to reverse engineer why a perceiver or a performer chooses a particular structure. Embedded in the approach is the use of computational thinking to optimise representations and theories to ensure accuracy, robustness, efficiency, and scalability. The PI is an established performer and a leading authority in music representation, music information research, and music perception and cognition. The project will have far reaching impact, reconfiguring expert and public views of music performance and time-varying music-like sequences such as cardiac arrhythmia.
Degree of recognitionInternational
Granting OrganisationsEuropean Research Council


  • musical structure
  • music prosody
  • music representation
  • computational modeling
  • arrhythmias
  • data science
  • citizen science
  • data analytics