24th Annual Conference of the Association for Computer-Aided Architectural Design Research in Asia, 12-18 April 2019, Wellington
The territories of computational design are ever-changing and represent a substantial region that remains uncharted; one with expanding and permeable boundaries that continue to be fully breached. This ocean of opportunity implores researchers to embark on ambitious journeys of exploration. Undulating and temporal, computational design needs research that engages explicitly with the innovative, intelligent and informed exploitation of computational design, and with the array of computational technologies that the discipline may engage with.
Human intelligence and creativity deliver the hegemonic direction for the field of computer-mediated architectural design research; an area where the computational component is a core aspect of the investigation. The actors in this are both witness to, and instigators of, the exciting, consequent, well-founded research that continues to deliver new knowledge, insights and information. This, then, explains the specific overarching theme of the conference: ‘Intelligent and Informed’.
The scope of this theme is driven by the intention to take in aspects of machine intelligence, and a wide range of potential research that engages with the intelligent exploitation of computer-mediated techniques in Architecture.
Within the coverage of the call lies a broad spectrum of approaches ranging from speculative, informal investigations to conventional scientific research, including but not limited to the following research and praxis topics. Papers must address the conference theme ‘Informed & Intelligent’.
The following sub-topics can address the conference theme in the larger architectural research realm:
- Artificial Intelligence & Machine Learning
- Computational Design Education
- Collaborative & Collective Design
- Simulation & Analysis
- Design Cognition
- Digital Conservation & Heritage
- Digital Fabrication & Construction
- Building-, City-, Region-Information Modelling/Management
- Human-computer Interaction
- Internet of Spaces
- Practice & Interdisciplinarity
- Smart-Buildings, -Cities, -Regions
- Theory, Philosophy and Methodology
- Generative, Algorithmic & Evolutionary Design/Techniques
- Virtual-, Augmented-, Mixed-, & Interactive-Environments
Around 200 conference papers were accepted in CAADRIA 2019 and the job was to group papers with similar topics. First, the articles’ contents were retrieved as XML files containing various sections (eg title, subtitle, abstract, keywords, etc). Then hierarchical clustering was used to identify similar content. In data science, hierarchical clustering is a method of cluster analysis which seeks to build a hierarchy of clusters. The results suggest that focusing merely on titles, abstracts or even content is not as efficient as it sounds. The best results were achieved when looking at a combination of these features.
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