Data Intersect Study is a series of spatial sonic and visual interventions to get in touch with the scale of big data. Using an old matrix printer for which I have written my own printer driver, I visualize 'found data'. The scale of the data leaks printed on a loud & slow printer can fill a room with just a fraction of what was found. Using algorithms to extract some meaning I look for aesthetics in noisy signals. I amplify this in livecoded (ascii)visuals and live patched modular sound design. I keep adding data sources as I find them and I keep evolving all aspects of the installation that is always tailor made to the space where it is on display creating a new experience for each expo. Below is an impression of the show at Ontsteking in Gent.
The resulting space is used for a performance with selfbuilt electronics and software using the found data. In this case facebook profile data and peoples AI conversational prompting data used to train AI models. A performance straight from my data lab
Modular data Lab (Ontsteking Gent 2021)