In p5.score, artist and choreographer Kate Sicchio explores how code can become a partner in improvisational dance.
Developed through the 2025 Processing Foundation Fellowship, Kate created p5.score, a JavaScript library that connects the logic of p5.js with the physical language of choreography. The system allows visual patterns generated in code to function as prompts for dancers, creating a framework where movement emerges through an ongoing dialogue between body and algorithm.
Designed as an entry point for choreographers and dancers interested in creative coding, p5.score opens new possibilities for collaborative experimentation between performers and technologists.
Learn more about the project: /@ProcessingOrg /negotiating-the-movement-9f402ed68a18
(also 🔗 in bio)
Follow Me
Video: @sicchio
Sound: @stephenvitiello
Performers: @taylorcolimore@s4ra127
Flute: Molly Barth
Fiddle: Matt Brown
Follow Me is a site-specific video installation that explores the choreography of attention and movement through algorithmic editing techniques. Rooted in the tradition of screen dance, the work uses computational processes to generate visual patterns that emerge from the interplay between bodies, space, and digital manipulation.
The sound composition by renowned artist Stephen Vitiello introduces a rich sonic dimension, adding layers, counterpoint, and a new sense of timing that deepens the viewer’s engagement. His score interacts with the algorithmically edited visuals, creating a dynamic tension between rhythm and disruption, structure and spontaneity.
By applying algorithmic logic to the editing process, the piece challenges conventional notions of authorship and composition in dance film. The resulting sequences evoke a sense of repetition, rhythm, and unpredictability—inviting viewers to consider how movement can be shaped not only by human intention but also by machine-driven systems.
This fall @stephenvitiello and I created an installation for the Multimedia Gallery @capitalone West Creek Campus with video, sound and flags.
Thanks to performers @taylorcolimore and @s4ra127
Original sound not working in video but will update!
One of the most computational dance scores made without a computer is Trisha Brown’s Locus. So I made a version in p5js that can run on a computer.
Enter your text and it will map the letters to points in space. Not unlike Trisha Brown mapping letters from her bio to points in an imaginary cube (see her drawing on the third slide)
I did a workshop all about this @alpacapatterns with some lovely folx back in September.