Stan Douglas’s Hasselblad Award 2016 brings together three series—Night (2014–15), Corrupt Files (2013), and DCTs (2016)—to examine what photography becomes when images are produced, altered, and remembered through mechanical and computational systems. Published by MACK in 2016, the 250-page hardcover is both an account of Douglas’s practice and a carefully structured inquiry into the distance between human vision and photographic technology.

The book’s central sequence, Night, begins with cinematic scenes of vehicles moving through Vancouver after dark and expands into a reconstruction of Hogan’s Alley, a predominantly African Canadian neighbourhood displaced by the construction of an inner-city freeway in the early 1970s. Built with 3D modelling software and viewed from an aerial perspective, the images show rooftops, lit windows, and an inhabited environment without visible inhabitants. Their ambiguity—part remembered place, part imagined model, part historical shadow—gives form to a marginalised community whose presence survives through reconstruction rather than direct depiction.

The other two series move away from representation. Corrupt Files consists of dense, multicoloured streaks generated from damaged digital files made during earlier projects, while DCTs uses tailor-made software to reverse-engineer JPEG encoding and produce images of hypnotic colour and geometry. Together, the series treat error, compression, and data not as technical obstacles but as photographic materials. The book therefore asks how images are constructed and consumed, and how mechanical media reshape memory and the sense of self.

Two accompanying texts extend this investigation: an interview with Douglas by Roxana Marcoci and an art-historical analysis by Noam M. Elcott. For collectors, the volume is notable for the way it holds cinematic reconstruction, digital failure, and algorithmic abstraction within one sustained argument about photography’s limits. Its significance lies less in conventional documentary evidence than in making the systems behind images visible—and subject to scrutiny.