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drawing on canvas with trear physics tendrils using texones creative computing framework which is based on processing

technology

 

Xcode Environment

OpenFraweworks

with OpenCV

Damage Festival

26.10.14

@ Cabaret Sauvage, Paris, FR

Supporting Textures

 

Shot for SpreadTheirSound.com

 

Euroblast 2017

Day 1 // 29th Oktober

Essigfabrik // Cologne, Germany

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.

ISWC 2019 Design Exhibition, QEII Centre, Westminster, London. iswc.net/iswc19/program_dx.html

Damage Festival - Cabaret Sauvage - Paris

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

algorithmically generated dream image, theme of nightmare

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

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