Machine Nostalgia explores a way to incorporate the emerging paradigm of machine errors into a playful and interactive experience. It combines the reduction of urban information into signals (x, y, z, R, G, B) with the exposure of dataset bias occurred from medium specific 3D scans. It wraps up with a game platform that allows you to create your own urban narrative by wandering in a city that rebuilds itself into a city of multiple cities and multiple identities. Your vision, position and movement is affecting the environment, while they are curated by the machine perception. There is no direct objective, other than the rearrangement of interrelations between urban elements. MSc Architectural Computation, The Bartlett School of Architecture, Studio project: City as Interface, Team members : Iliana Papadopoulou, Xudong Liu, Tengfei Zhang,
Supervisor : Ava Fatah gen. Schieck, Sound: @birgif