Unboxing the hidden layers between musical data, knowledge and creativity
The AHRC-funded Datasounds, datasets and datasense network aims to “identify core questions that will drive forward the next phase in data-rich music research, focused in particular on creative music making. The increased availability of digital music data combined with new data science techniques are already opening new possibilities for making, studying and engaging with music. By bringing together researchers and practitioners from different underlying disciplines and with a wide range of expertise the network will enable a better foundation for future research. Performers, composers, and improvisers will contribute through embodied knowledge and practice-based methods; researchers in psychology will bring insights about cognitive, affective and behavioural processes underpinning musical experience; and data scientists will add analytical expertise as well as relevant theories, methods and techniques.”
The first seminar of the Datasense research network is a double act: Renee Timmers and Elaine Chew in conversation about music, performance and data.
Date: Monday January 31st, 2022
Time: 4pm (UK)
Renee Timmers‘ current research projects investigate ensemble performance, in particular what visual and auditory nonverbal cues musicians use to coordinate and communicate with each other during performance.
Elaine Chew’s research centers on the mathematical and computational modeling of musical structures, with present focus on structures as they are communicated in performance and in ECG traces of cardiac arrhythmias.