exhibited in Palo Alto, Barcelona, July 2017
exhibited in Echosystems, London, September 2018
An archive as a project
Through a process of design investigation and experimentation, it intends to bring us questions about the present’s obsolescence. Not only it is a personal project based in the documentation of a material set, which has accompanied me for 22 year, also involves the destruction of this accumulation, and therefore, the assimilation of the ephemerally and the importance on forgetting over the action of remembering. All this is related to Zygmunt Bauman’s Liquidity concept, which acknowledges that change is permanent. This idea is even more obvious in a digital paradigm, where nothing remains but everything changes.
After this auto destructive process, I ask myself if I will be able to get over this Diogenes syndrome and become to a rite of passage towards somewhere else, where I can detach myself from all material memory in order to start all over again.
On the other hand, I wonder if in our contemporary socio-cultural context, the archives are sill considered functional, and if the preservation of material culture has become something useless.
I have been collecting objects that surround my daily life, since I can remember. In 2017, my obsession to keep the present was collected in the form of an archive. A project where I exposed and asked why people like to archive and hold time stable, in a constantly changing world. What is the sense of preservation? Who decides on which things need to be preserved and which do not? After a year, this project takes a step forward. The proposal is developed to raise more questions about the archive, this time closer to the art world. Giving agency to the machine to rationally decide what can be part of my archive, while the public has the emotional input and the final decision. I want you, as an observer, to participate and make the machine decide which object should I keep and which should not.
A multidisciplinar project
real-time object detection system
using Tensorflow deep neural networks on Jevois camera.