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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
r2 U2 r2 Uu2 r2 u2
r2 = Move the second layer in from the right only
Uu2 = Move both of the upper layers at the same time
u2 = Move the second layer in from the top only.
file: arcos_test341_0a
Flood fill algorithm working on a fractal substrate created by mapping audio signals to a space-filling curve.
drawing on canvas with trear physics tendrils using texones creative computing framework which is based on processing
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 showing: Stefanie Lindstaedt, Amanda Bennetts and Johanna Einsiedler (from left to right)
Photo: martin doersch
From a suite of 128 transforms of a concentric circle pattern, following a space-filling curve (Hilbert 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