Objektivisering is intended as a hands-on endeavour to probe the materiality of non-numerical kinds of data—such as text and 3d models—and of the technologies we rely upon to retrieve, process, and ‘transliterate’ them.
Objektivisering revolves around an experimental system that algorithmically generates 3D-printable models with respect to arbitrary user-defined text. It parses and processes the input text, collapsing it to a series of key words/phrases that are subsequently used as queries to retrieve 3D models from online repositories. These are, then, manipulated and concatenated together in order to synthesise original models that are later 3d-printed. The resulting physical artefacts pose, look into, and speculate about, a series of questions in non-discursive terms. How do emergent naming conventions, search algorithms, database topologies, and current trends in 3D-printing govern the ways in which machines may understand or act upon non-numerical kinds of data and, in particular, text or 3D models? How can we ‘transliterate’ across incompatible material domains, such as text and physical objects? Do post-digital artefacts account for new kinds of (post-)phenomenological experiences? How may machines detect, encode, and decode the complex qualia that characterise our real-life encounters with physical objects of all sorts? Objektivisering suggests a certain kind of hands-on speculative epistemology—an artistic venture to fumble about particular kinds of techno-scientifically driven hybridity and about possible ways to mediate it.