NanoResonance explores the outputs of scientific data creatively, investigating modes of artistic expression made possible by combining 3D audio and video in conjunction with Machine Learning and Artificial Intelligence methods. The team is interested in developing new methodological and artistic approaches to exploring, understanding, and negotiating scientific datasets. Fostering collaborations between scientists and creative scholars, this project has explored ways of making meaning from scientific data that has reach to broader audiences.

Nanoresonance is funded through Sydney Nano’s Catalyst Grant Scheme. This research is made possible through the funding we  have received from Sydney Nano.