Description
The current call for this residency takes place within the context of two European research projects: a Marie Curie Fellowship entitled E2-Create (Encoding Embodied Creativity for Computational Art) and a Horizon Europe project entitled Premiere (Performing Arts in a New Era). The former explores how embodied principles of creativity can be abstracted, formalised, and operationalised into generative methods for creating computer-based art. The latter addresses the application of virtual reality and artificial intelligence throughout the entire lifecycle of a performance work — from its conception and production to its dissemination and archiving.
As part of these two projects, several machine learning models have been developed for analysing, re-composing and generating dance. These models are particularly well suited for artistic appropriation, as they can easily be expanded and modified, require only small data sets for training, and work in real time.
The call offers artists the opportunity to experiment with creative applications of these models and to adapt them for the realisation of a new work. The selected artist(s) will receive support in the application, training and modification of these models. In addition, they will be given access to, and assistance with, the use of the technical infrastructure at the ICST. This includes a motion capture system, a multichannel surround audio system, video projectors, and dedicated PCs for training machine learning models.
The residency is intended for individual artists or artistic duos who combine a background or strong interest in contemporary dance with experience in using computer-based generative techniques. Ideally, the artists will have previously worked with generative AI models. Candidates are asked to submit a conceptual idea to be realised during the residency (see “Conditions, application & selection process”).