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AHRC Datasounds, Datasets and Datasense Research Network

  • Ben-Tal, Oded (PI)
  • Reuben, Federico (CoI)
  • Howard, Emily (Project Partner)
  • Laney, Robin (Project Partner)
  • Dibben, Nicola (Project Partner)
  • Chew, Elaine (Project Partner)
  • Sturm, Bob (Project Partner)
  • Kingston University
  • University of York
  • Open University Milton Keynes
  • University of Sheffield
  • King's College London
  • KTH Royal Institute of Technology

Project: Research

Project Details

Description

This 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.
StatusFinished
Effective start/end date1/01/2231/08/24

Collaborative partners

  • Kingston University (lead)

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