Predictive Tech in Scaling Material Urban Commons
Loading...
Authors
Choi, Jaz Hee-jeong
Author (Corporation)
Publication date
26.03.2021
Typ of student thesis
Course of study
Type
06 - Presentation
Editors
Editor (Corporation)
Supervisor
Parent work
Special issue
DOI of the original publication
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Scaling Material Urban Commons is a speculative city-making project investigating automated logistics for commoning material urban commons, such as rescued food. It postulates that some forms of material commons require different forms of beyond-hyperlocal scale commoning. The project critically investigates and prototypes technological and sociotechnical conditions for city-wide commoning of material urban commons, using a predictive-algorithm-based system emulator that orchestrates pickup and drop-off of rescued food in Basel and London. Introducing predictive technology shifts the site of commoning closer towards an algorithm- driven platform, which raises following key questions: What frictions emerge from changing scale in commoning? How to reconcile predictive technologies with local, idiosyncratic food cultures? How to engage in commoning with algorithmic agents in participatory settings? By addressing these questions, the project aims at creating imaginaries of commoning-based smart city alternatives.
Keywords
scaling, commoning, automation, city making, urban tech, smart city alternatives
Subject (DDC)
Event
Deep City
Exhibition start date
Exhibition end date
Conference start date
24.03.2021
Conference end date
26.03.2021
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Review
Peer review of the complete publication
Open access category
License
Citation
BEDÖ, Viktor und Jaz Hee-jeong CHOI, 2021. Predictive Tech in Scaling Material Urban Commons. Deep City. 26 März 2021. Verfügbar unter: https://doi.org/10.26041/fhnw-4061