Intelligent informed landscapes: The eco-systemic prototypical interventions’ generative and iterative co-designing co-performances, agencies and processes

Davidova, Marie ORCID: https://orcid.org/0000-0002-1820-148X 2019. Intelligent informed landscapes: The eco-systemic prototypical interventions’ generative and iterative co-designing co-performances, agencies and processes. Presented at: 24th Annual Conference of the Association for Computer-Aided Architectural Design Research in Asia, Wellington, New Zealand, 15-18 April 2019. Published in: Hank Haeusler, Matthias, Schnabel, Marc Aurel and Fukuda, Tomohiro eds. Intelligent & Informed, Proceedings of the 24th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2019. , vol.2 Wellington: Victoria University of Wellington, pp. 151-160.

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Abstract

The work fights for a shift from Anthropocene in urban environment through both, analogue and digital eco-systemic prototypical urban interventions, mixing biological as well as digital performances of post-digital landscape. It directly engages with the local human and non-human communities as well as it offers its online recipes and codes for DIY local iterations tagged in public space. Such intelligent and informed cultural landscape therefore covers several multi-layered generative and iterative agencies for its self-development.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Architecture
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography N Fine Arts > NA Architecture N Fine Arts > NX Arts in general S Agriculture > S Agriculture (General) T Technology > TD Environmental technology. Sanitary engineering T Technology > TH Building construction T Technology > TS Manufactures T Technology > TT Handicrafts Arts and crafts
Publisher:	Victoria University of Wellington
ISBN:	9789887891727
Related URLs:	Organisation
Last Modified:	25 Oct 2022 13:11
URI:	https://orca.cardiff.ac.uk/id/eprint/119129

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