Architectonic Studies of Radio
This is an experimental design research into the ways of organising archives on radio signals, using machine learning algorithms as operators of difference. Starting from radio signals as a natural and cultural phenomenon, the project challenges the persistent and foundational dualism in modern thinking (e.g. nature-culture) and proposes ‘digital observatories’: a method for working with abundant information and digital corporeality.
Within the project, we will develop ‘digital observatories’ for organizing and navigating abundant information in ways that are meaningful to the observer. The ‘digital observatories’ organize information based on similarities identified through machine learning processes. A digital archive on radio signals will be reorganized in two case studies. The first study focuses on images of signal spectrograms (visual representation of a signal’s frequency composition), aiming to facilitate speculation on the connection between signal representation and technical communication protocols. The second study establishes similarities between otherwise unrelated signals, all organized in a continuous exploration space – a sphere. Beyond simple ontological distinctions onto matter or information, subjects or objects, experiencing information in this way should enable thinking about phenomena, such as radio signals, in their own terms.