I Learn to Diffuse, or Data Alchemy 101: a Mnemonic Manifesto

8 Aug 2022  ·  Victor Schetinger, Velitchko Filipov, Ignacio Pérez-Messina, Ethan Smith, Rodrigo Oliveira de Oliveira ·

In this manifesto, we put forward the idea of data alchemy as a narrative device to discuss storytelling and transdisciplinarity in visualization. If data is the prima materia of modern science, how does one perform the Great Work? We use text-to-image diffusion-based generative art to develop the concept, and structure our argument in ten propositions, as if they were ten issues of a comic novel on data alchemy: Ad Disco Diffusionem. To follow the argument, the reader must immerse themselves in our miro board, and navigate a multimedia semiotic topology that includes comics, videos, code demos, and ergotic literature in a true alchemic sense. By accessing this paradigm one might find new sources of inspiration for scientific inquiry in familiar places, or get lost in the creative exploration of the unknown. Our colorful, sometimes poetic, exposition should not distract the reader from the seriousness of the ideas discussed, but ultimately it is about the journey.

PDF Abstract


Human-Computer Interaction


  Add Datasets introduced or used in this paper