Algorithms are driving our lives. How can we harness algorithms for art and use them within a digital performance practice? When can machine learning be used to expand and explore a creative process? By working with the machine learning algorithm, t-SNE, data can become performed through live coding. This workshop will use OpenFrameworks to create choreography via the t-SNE. Algorithmic dance scores and performances will be made with images and time lapse photos of movement.
Workshop Cost: Free
Kate Sicchio works at the interface of technology and performance. By opening a dialogue between how people move and how this may change by engaging with the digital, she aims to create choreography, performative scores, video, programming languages and hacking methodologies. Her work has been shown in galleries, on stage and in more unconventional sites, in the form of installations and performances. Most recently she has been working with wearable technology, live coding and technology as an intervention in the choreographic process. Her work has been has been shown in Philadelphia, New York City, Canada, Germany, Australia, Belgium, and the UK at venues such as Banff New Media Institute (Canada), WAX Brooklyn (New York), FoAM (Brussels) and Arnolfini Arts Centre (UK). She is currently Visiting Assistant Professor in Integrated Digital Media at New York University.blog.sicchio.com