Print Email Facebook Twitter Sensing in the wild: A DCODE DRS Lab exploring a more-than-human approach to distributed urban sensing Title Sensing in the wild: A DCODE DRS Lab exploring a more-than-human approach to distributed urban sensing Author Turtle, G.L. (TU Delft Human Information Communication Design) Guerrero Millan, Carlos (The University of Edinburgh) Özçetin, Seda (Umeå University) Patil, M.S. (Hogeschool van Amsterdam) Bendor, R. (TU Delft Design Conceptualization and Communication) Date 2022 Abstract The Sensing in the Wild Lab is a speculative experiment in designing a de- centralised urban sensing system from a more-than-human perspective. It is part of DCODE, an H2020-ITN project that explores the future of designing with AI. During the Lab participants assume different identities – roleplaying as children but also as moss, as municipal authorities, as CCTV cameras, as pigeons, and as undocumented immigrants trying to evade the authorities – and are asked to feed into the sensing system data that reflects their particular perspectives and interests. The data partici- pants share, in the form of an image and text uploaded to a dedicated WhatsApp channel, helps to reveal both frictions and alignments among actors. In this, the Lab offers municipalities an opportunity to shift their thinking about the future smart city from a “system of systems” that is optimised for a few city dwellers to a much more distributed, inclusive meshwork in which data is contributed, circulated, and negoti- ated by humans and nonhumans alike. Subject More-than-human designSpeculative designSmart cityArtificial Intelligent (AI) To reference this document use: http://resolver.tudelft.nl/uuid:05ac2d4f-6cd7-4b07-a673-df1add00c33b DOI https://doi.org/10.21606/drs.2022.912 Publisher Design Research Society Source DRS2022: LABS Event DRS 2022, 2022-06-25 → 2022-07-03, Bilbao, Spain Part of collection Institutional Repository Document type conference paper Rights © 2022 G.L. Turtle, Carlos Guerrero Millan, Seda Özçetin, M.S. Patil, R. Bendor Files PDF Sensing_in_the_wild_A_DCO ... _human.pdf 2.91 MB Close viewer /islandora/object/uuid:05ac2d4f-6cd7-4b07-a673-df1add00c33b/datastream/OBJ/view