“Periphery Vision,” builds on data structures as representative of an understanding of the figural. Initially inspired by Lev Manovich’s cultural analytic projects – “On Broadway” (www.on-broadway.nyc), “Selfiecity” (www.selfiecity.net), “Phototrails” (www.phototrails.net) – which visualise data in a specific way, my project examines random and associative data in real-time. Manovich’s projects use fixed data sets collected over a specific and limited period of time. The focus of “Periphery Vision” is to use software to combine and randomise live data from the Internet in real-time, simulating how we perceive and experience images daily. Structured in this way, each refresh of the page is able to produce a different combination and a new set of associations. The project pays particular attention to the random and ‘real-time’ spatiotemporal aspects of structure and the open-ended relationship of image and text. Its primary aim is to present image not as a unified object but as a contingent encounter. Such an encounter is underpinned by the structure and logic of code and algorithms interspersed with repetition and randomness. I argue, following Burgin, that these are the conditions that shape our experiences with the world of images.