The lab is open for any experimentation and we encourage participants to bring their own ideas, tools and sketches. For this CCL edition, we will pay extra attention to two areas of interest that can be explored under the guidance of our lab leaders and visiting guest artists. These are suggested areas of interest and do not exclude other fields of interest.
1. Reimagining Dance Data in Space
Guest artist Mária Júdová will support experiments on the intersection of immersive spaces (also VR), generative visuals and spatial projections in relation to dance and the body. Motion Bank’s Anton Koch will give an introduction to some parts of the new Motion Bank annotation platform – Piecemaker – with state-of-the-art annotation tools developed specifically for dance. This will be done by using a dataset along with the introduction to their tools and formats.
With these inputs as starting points, you can start reimaging new artistic outputs in hands-on work sessions or discussions. Two possible angles for approaching this are: data visualization or translation with the use of creative coding, or statistical exploration with machine learning.
2. Dancing with Machines
Experiments with machine learning in the context of dance, choreography and movement.
AI systems are able to learn about human movement and reproduce it at a staggering rate. With such rapid advancements in the artistic application of machine learning, we invite participants to experiment, reflect, and speculate on the use of machine learning technologies in the context of dance, choreography and movement.
The lab invites coders and artistic researchers who would like to experiment with the possible application of their ML work, discuss the ethical issues, and engage critically with the development of these technologies.
