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Smuc.kitchen Synthetic Pantry Content Data

Bedö, Viktor; SMUC
Political and social response to the coronavirus pandemic shows not only the magnitude of interventions societies are capable of but has also rendered the politics of weighting public good against growth-based capitalist economy to become part of public debate. Calls for not returning to the old normal after the pandemic strengthen the momentum for convivial and commoning-based urban futures. Convivial approaches promote tools, institutions and technologies that support people in their social and human endeavours instead of forcing them into the position of subserviently accommodating the logics of the tools and technologies. Commoning promotes post-growth and care-based regimes of negotiating and regulating the access and use of resources. While digital networked technologies provide a potent platform for scaling knowledge commons (e.g. Wikipedia), scaling the commoning of material resources (i.e. food ingredients, tools or spare parts) is widely unresolved and under investigated. This three-year inventive playful city-making project critically investigates the scalability of commoning food by designing a speculative predictive module that temporarily reconfigures urban platforms to afford city-scale commoning of material resources. The machine-learning-based predictive module is a piece of software running on a server and triggering city-wide automatic pick-ups and deliveries of material resources to households or micro-businesses. The predictive module is also an algorithmic agent which the project introduces to community-based commoning negotiations by innovative participative design approaches, which allow the teaching of the module by non-experts. This allows for probing how the shift from neighbourhood to city-scale transforms, corrupts or enhances commoning mechanisms. Methods used by the project include scalar framing of the neighbourhood and the city as scale domains in commoning, machine teaching, merging real and fictional datasets, situated speculative urban design, and participative design incorporating algorithmic agents. The transnational project is hosted by the Critical Media Lab Basel and will implement the predictive module in Basel and London, two cities with active academic and activist involvement in commoning but different infrastructural characteristics, urban density and regulatory frameworks. This project makes an original contribution to media studies and urbanism discourses about convivial aspects of the platform society; scale critique of commoning forms a media studies, platform studies and strategic design perspective; and the methodological innovation of more-than-human design approaches by including algorithmic agents within participative urban design setting.
2021-09-01
https://data.snf.ch/grants/grant/199107

Team

Collaborators and guests:

Cristina Ampatzidou

Dan Lockton

David Sommer

Gabriela Aquije

Gabriele Ferri

George Simms

Györgyi Galik

Iohanna Nicenboim

Jaz Choi

Jamie Allen

Kit Braybrook

Mahinya Mkwawa

Martijn de Wall

Rebecca Fiebrink

Ruth Catlow

Torange Khorsani

Vera van der Burg

Principal Investigator: Viktor Bedö

Junior Researcher: Ozan Güngör

Creative Developer: Yann Martins

Tags

Project https://smuc.kitchen/ werke smuc data-publications

Queries

Data-Publications - Data-Publications - SMUC Data-Publications - Data-Publications Werke catalog - Artistic catalog - Education catalog - HGK catalog - mediathek catalog - Network

References

Full spec

DateAdded
2025-02-11T12:35:08Z
DateModified
2025-02-12T14:22:18Z
Key
MNQMSGS2
Language
English
ShortTitle
SMUC
ARK
ark:/15737/p656-xrzh-4wnz
Handle
20.500.11806/med/3g11-qjxv-jp

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