Research Projects

Visceral Histories, Visual Arguments: Dance-Based Approaches to Data

Nicola is currently engaged as creative technologist in a research project that explores immersive technologies for dance practice. The project focuses on immersive data visualisations of dance histories, but also the complexities of using machine learning techniques to extract motion data from archival dance footage. A data-driven approach that is tailored to the medium of dance can transform the use of digital tools to evidence and elaborate the historical study of embodied knowledge more broadly.

Visceral Histories, Visual Arguments: Dance-Based Approaches to Data is a three-year initiative (2022-2025) under the co-direction of Kate Elswit (with support from a Research Development and Engagement Fellowship from the Arts and Humanities Research Council) and Harmony Bench (with support from OSU’s Global Arts and Humanities Society of Fellows).

See the project here

4i: Immersive Interaction Design for Indie Developers with Interactive Machine Learning

4i: Immersive Interaction design for Indie Developers with Interactive machine learning is an EPSRC funded project that aims to enable independent developers and artists to design and implement movement-based interaction for immersive media such as Virtual, Augmented and Mixed reality.

On this project Nicola was researcher and developer building machine learning tool InteractML for movement interaction design in immersive media – a node-based visual scripting plug-in for Unity developed for artists, dancers and game designers.

See the project here