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All Outputs (2)

Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision (2021)
Conference Proceeding
Nash, C. (2021). Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision.

This paper details a workshop and optional public installation based on the development of situational scores that combine music notation, AI, and code to create dynamic interactive art driven by the realtime movements of objects and people in a live... Read More about Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision.

Creativity in children's digital music composition (2021)
Conference Proceeding
Ford, C., Bryan-Kinns, N., & Nash, C. (2021). Creativity in children's digital music composition. In Proceedings of the International Conference on New Interfaces for Musical Expression (NIME). https://doi.org/10.21428/92fbeb44.e83deee9

Composing is a neglected area of music education. To increase participation, many technologies provide open-ended interfaces to motivate child autodidactic use, drawing influence from Papert’s LOGO philosophy to support children’s learning through pl... Read More about Creativity in children's digital music composition.