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The Algorithm in the Room
MDP Design Dialogues Symposium + Exhibition with Tim Durfee, Ben Hooker, and Mimi Zeiger
The Algorithm in the Room: An Evening of the Post-Geographic brings together an interdisciplinary group of designers and thinkers to discuss relationships between algorithmic and spatial practices. The algorithm in the room is the unspoken technological subject that reorients our understanding of design outcomes, ethics/politics, and authorship. Yet to concretize the algorithm, to try to peg down its functional uses within design is to misunderstand its potentially slippery (and productive) role as a bad collaborator. Feral and unpredictable, it provokes human, systemic, and urbanistic response. Via conversations and through digital, video, and screen-based works, this symposium and exhibition looks to raise difficult questions regarding the politics of predictive/automatized software, its architectural and urban impacts, and the aftereffects of recalibrated design agency. Speakers include: Jeff Maki, urban strategist and Joanne McNeil, writer. Videos exhibited by John Szot Studio, Tim Durfee + Ben Hooker, Jenny Rodenhouse.
Gamers who only plan to sit down God of War should be careful on Google and YouTube, where algorithms will spoil the key storylines of the game. If you do not go into specific moments, it's enough to start writing character names, as the spoilers of the God of War end spoilers in the form
gameplaying.info/algorithms-google-and-youtube-spoil-god-...
file: test335_0a
Flood fill algorithm executed on a pixel pattern created by mapping an audio signal to a space-filling curve.
Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project, realized in an interactive installation that resembles a pristine tech store, offers a critical perspective on the commercialization of personal bio data harvested by devices such as smartwatches and in healthcare industries. Through the use of the duo’s DIY smartwatches and interactive data interface, they delve into the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo: martin doersch