2022-12, Savic, Selena, Metzner-Szigeth, Andreas

The imaginary of travelling in data traces interdisciplinary concerns for technical artefacts. Focusing on data collection on radio signals gathered by a community of radio amateurs and enthusiasts, informational tools – ‘data observatories’ – render signals commensurable through their different visual representations. What can pixel distribution in a sound spectrogram tell us about a radio signal? Following Haraway’s insistence on the importance and persistence of vision as an embodied gaze enabling a new doctrine of objectivity, this study proceeds by extracting and organizing radio signal qualities using a machine-learning algorithm to expose them again to the visual faculty of subjective observers. Vision and travel constitute methodical tools to unfold disciplinary concerns starting from specific data in a way that favours interactional expertise.