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Damage Festival
26.10.14
@ Cabaret Sauvage, Paris, FR
Supporting Textures
Shot for SpreadTheirSound.com
Complex polynomial iteration based on the Sombrero Function: www.flickr.com/photos/photonatic/519321368/
This is a clear plastic cup with heavily faceted sides, laid sideways on the scanner and backed with angled CD-ROMs. The CD-ROMs appear non-circular due to the distortion caused by the scanner horizontally compressing objects that are distant from the surface of the bed. The resulting image has been smoothed to remove dust specks, and had the contrast adaptively increased.
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: martin doersch
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: Amanda Bennetts and Johanna Einsiedler (from left to right)
Photo: martin doersch
Algorithmic art created with Processing using blue noise dot patterns, wave functions, and various other computational techniques.
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
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
This is pdtam applied iteratively to its own results. Notice how the convergence pair appears quickly in this case.
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