The Music, Science and Technology Research Cluster (MSTRC) at the Department of Music comprises an international and interdisciplinary community of staff and research students working in areas across music, science and technology.
The research cluster aims to:
- Study music perception and cognition, musical behaviour and music experience using scientific methods and emerging technologies
- Develop technology for musical application based on the integration of artistic, scientific and engineering knowledge
- Study the application of technology in music composition, performance, recording, reproduction, dissemination and consumption
- Critically examine the interactions between technology, culture, business, and creativity
The research cluster boasts outstanding facilities, a seminar series, a supportive community of interdisciplinary researchers, and a thriving environment that benefits from the broader musical activities of the department. The MSTRC continuously interacts and collaborates with other research clusters at the Department of Music, other Departments at the University of York, and other institutions internationally.
Aesthetic judgement and emotional processing of contemporary music
Understanding why listeners respond differently to contemporary music.
Gazelle Twin extends her music across film, visual effects, theatre, immersive and spatial sound.
Experimental concert research
Examining what makes a classical concert.
Turning the inside out
Exploring whether facial expressions of emotion help predict experienced emotions in music.
The Music, Science and Technology Cluster has four groups that complete research and explore the topic in more detail.
Technologies for Musical Creativity Group
Research on the development of technology that, as a fundamental principle, considers the complexities of musical and creative processes.
York Music Psychology Group
Research to explain and understand musical behaviour and experience.
The Music Computing and Psychology Lab
The lab is internationally renowned for its work on the development and application of AI in both music-making and music-analytic scenarios. We address research topics including human-computer co-creativity; AI music for games and screen media; pattern discovery in music; fundamentals of and formats for music representation, analysis, and manipulation; natural language processing for music; music cognition; AI for web audio and podcasting.