Recomposing Data: Machine Learning as Compositional Process
(2025)
Bjarni Gunnarsson
This exposition reflects on how machine learning can be integrated with algorithmic composition and live coding to expand digital music creation. The research examines how ML-driven sound analysis, training data, and interactive models reshape compositional workflows. By viewing machine learning as an interpretative and generative process rather than a mere tool, this project challenges conventional boundaries between data gathering, system design, and artistic practice. The discussion is framed through experimental approaches that merge sound synthesis, live coding, and model training, questioning how algorithmic systems can act as both agents of composition and reflective mirrors of musical intention. Through the interplay of structured data, generative models, and exploratory workflows, the study situates machine learning within a broader conversation about creativity, computation, and the evolving role of the composer-programmer.
RC Visual Map / Screenshot of the RC
(2025)
Casper Schipper
A visual map of the RC. Hover over a screenshot to see the title and author. If you click you will see a gallery with a screenshot of each of its weaves. There is a form which allows you to filter based on title, author, keywords, abstract and date.
For an exposition to appear in this map, it needs to be public (share -> public or published). The map is updated once every 24 hours.
There is an alternative map that allows you to browse all research by keyword.
Guiding Inner Journeys: Choreographing Inner Conflict in a Diverse Group of Dancers
(2025)
Marjolijn Breuring
This research was conducted with a diverse group of dancers, varying in age, background, and dance experience, and was guided through somatic embodiment and artistic articulation. Through a somatic approach, the body was explored as both an archive of lived experience and an oracle for emergent knowledge, offering a strong gateway into authentic dance material.
The creative process unfolded through four phases: somatic exploration and improvisation, composition, structuring, and refinement. Throughout, leadership shifted fluidly between an open, facilitative mode, amplifying the dancers’ voices, and a more directive mode, articulating the artistic vision.
The methodology highlights how initial somatic explorations were gradually shaped into choreographic form, maintaining a dialogue between internal embodiment and external composition throughout the process.
Key insights include that this process proved particularly effective within a diverse group context, demonstrating that, regardless of formal dance training, each individual, when guided somatically, can access embodied memory and, through compositional shaping, transform authentic movement into coherent choreographic structure.
Both the research and the resulting performance, Equilibrium, do not seek to offer resolution, but rather to evoke recognition and the possibility of coexisting with tension.