View a series of online artists projects commissioned by The Photographers' Gallery.

The Small File Photo Festival is a mini festival and online exhibition encouraging and celebrating small size photography
A·kin is a project by Aarati Akkapeddi exploring human and non human categorisation of photographic archives.
On the first day of the COP26 climate conference in Glasgow, a network of people operating DIY satellite ground stations around the world will capture a collective snapshot of the Earth.
Shadow Growth explores how counter-visualisation techniques can be used to contest the pervasive images that promote an ideology of economic growth, while simultaneously obscuring its ecosystem harms.
Careful Networks is a project that follows the principles of coding to care and coding carefully from the Distributed Web of Care initiative.
This website documents Basic Necessities, an online commission by Nestor Siré and Steffen Köhn on view on the Media Wall and from 14 October 2021 to 10 January 2022.
This publication aims to playfully explore the potential of fiction to create a wide range of responses to real and imagined networks.
4004 creates a link between the explosion of techno-capitalism, the acceleration of climate change and resulting decline of essential ecosystems.
What is allowed to be online, stay online and spread online? And, who decides what is harmful, and when that content should be removed? This expanded documentary project by Caroline Sinders [...]
Go Fake Yourself! uses deepfake artificial intelligence technology to animate single photos of faces with facial expressions and body language "borrowed" from driving videos of public figures.
Lacework is a new work by Everest Pipkin that uses artificial neural networks to reinscribe the videos of MIT’s Moments in Time Dataset.
A speculative remix that confronts Epic Kitchens, a dataset of first-person cooking videos, with quotations from literature written during or about prior pandemics such as the bubonic plague and the global influenza pandemic of 1918-19.
Philipp Schmitt's 'Declassifier' uses a computer vision algorithm trained on COCO, an image dataset developed by Microsoft in 2014.