City Research Online

Algorithmic food justice

Houston, L., Heitlinger, S. ORCID: 0000-0001-6148-350X, Catlow, R. & Taylor, A. ORCID: 0000-0001-6311-3967 (2023). Algorithmic food justice. In: Papadopoulos, D., Puig de la Bellacasa, M. & Tacchetti, M. (Eds.), Ecological Reparation: Repair, Remediation and Resurgence in Social and Environmental Conflict. (pp. 379-397). Bristol, UK: Bristol University Press.


Under what technoscientific conditions might the scarcity of food be understood as contingent on heterogeneous actors? And the possibilities of food abundance be approached as a reparative project of valuing their manifold relations? Blockchain promises to be an infrastructure that presents both productive imaginaries and also challenges to such restorative and sustainable work (Seidler et al 2017; Rozas et al, 2018). In a series of workshops, we critically experimented with these possibilities and challenges. Working with diverse participants including community growers, organisers, artists, and technologists we used a variety of playful methods to act out fictional scenarios set in 2025, when all of London had been transformed into a city farm. For organisations and participants, reparation meant working in the aftermath of social and environmental collapse to bring into being more-than-human-value systems that radically decentred human knowledge and experience.

Publication Type: Book Section
Additional Information: This is a post-peer-review, pre-copy edited version of a chapter published in Ecological Reparation – Repair, Remediation and Resurgence in Social and Environmental Conflict. Details of the definitive published version and how to purchase it are available online at:
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HN Social history and conditions. Social problems. Social reform
H Social Sciences > HV Social pathology. Social and public welfare
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science > Human Computer Interaction Design
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