Techno-optimism and optimization in media architecture practice and theory
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Authors
Author (Corporation)
Publication date
19.04.2023
Typ of student thesis
Course of study
Type
01A - Journal article
Editors
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Parent work
Digital Creativity
Special issue
Critical Computational Relations in Design, Architecture and the Built Environment
DOI of the original publication
Link
Series
Series number
Volume
34
Issue / Number
1
Pages / Duration
1-15
Patent number
Publisher / Publishing institution
Routledge
Place of publication / Event location
Edition
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Abstract
Media architecture community systematically explores the potentials of computation and digital media to intervene in form-finding, fabrication of buildings and urban data collection processes. Combining social media topic modelling techniques with the review of media architecture-related literature, I discuss methods to locate the media architecture community in social media, conduct initial discourse analysis and pursue a deeper investigation of the topics addressed by community. In the literature, media architecture is presented as an interactive set of technologies for a participative public life. And yet, while a dynamic facade increases possibilities for participation and creative expression, it also facilitates reframing participation as a technical problem. I position optimization and efficiency in media architecture discourse as a form of optimism and offer insights into its political implications. I propose to rethink the shortcut between optimism and optimization by tracing conceptual and professional relations that inform media architecture.
Keywords
Media architecture, computer-aided design, social media, techno-optimism, optimization, digital humanities
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ISBN
ISSN
1462-6268
1744-3806
1744-3806
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Savic, S. (2023). Techno-optimism and optimization in media architecture practice and theory. Digital Creativity, 34(1), 1–15. https://doi.org/10.1080/14626268.2023.2200770