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SNSF funded project (No. 190310, runtime 01/2020–02/2021)
Radio Explorations is an experimental research project that combines machine learning tools with design of data observatories: web-based interfaces that facilitate searching and navigating across the digital archive of radio signals. Machine learning algorithms, more specifically the self-organizing map (SOM), operate in this space as mechanisms of differentiation: a way of ordering differences based on probability. These unsupervised processes for organising unstructured data demonstrate working with data observatories as negentropic, synthesis-oriented ways to acquire knowledge about different types of transmissions.