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Flatlandia

online image database

in collaboration with Amanda Ramos

link to project website

 

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Our social environment is becoming more of a composition of images and objects and less a complex of spatial configurations and architecture. Flatlandia is a research platform for locating and documenting ‘flatnessTypically space is something you enter into and an image is something you watch. Space is deep and an image is flat. In Flatlandia, the opposite is explored. Images have dimensions giving us room to move within them (ex. An interactive webcam of an interior or a navigable map) and spaces are missing dimensions only allowing us to look at them (ie a storefront window or a surveillance monitor). They are places that act as though they are in a dimension other than their own. 

Flatlandia uses a taxonomic approach for finding and naming examples of ‘image spaces’ in cities. The documentation is being collected, organized and linked together within a searchable database system. Location, point of view, author, image type, and contents of the image are some properties used to create associations between the material. The visual information is then used to generate hypothetical actions, recipes or ‘codes’ for ways to ‘play’ the city.

As a ‘dataplace’, Flatlandia provides us with a workspace to conceptually experiment with the transformation of our urban environment. It cultivates an experience that informs the production of new physical manifestations of the imagery. A language of flatness is developing through the site, a language that is transferable and inspiring to range of new and ongoing artworks.

Flatlandia was developed during a residency at StudioXX, Montreal. 

 

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