Rethinking housing: network analysis for digital collaboration. This project aims to understand persistent housing sector supply problems through analysis of digital collaborative practices. This project expects to generate new knowledge for an emerging housing digital economy using interdisciplinary network theory and data visualisation techniques. The housing sector has long been criticised for shortcomings in affordability, efficiency, quality, social and environmental responsiveness and appr ....Rethinking housing: network analysis for digital collaboration. This project aims to understand persistent housing sector supply problems through analysis of digital collaborative practices. This project expects to generate new knowledge for an emerging housing digital economy using interdisciplinary network theory and data visualisation techniques. The housing sector has long been criticised for shortcomings in affordability, efficiency, quality, social and environmental responsiveness and appropriateness of offerings. Expected outcomes include enhanced housing supply professionals' capability, improved knowledge among public/private sector decision makers responsible for housing supply and development of new digital collaborative behavioural theoretical and practical frameworks for the sector.Read moreRead less
Assessing Architectural Aesthetic Character: An ‘Intelligent’ Approach. This project aims to develop ground-breaking insights and software to improve the assessment of architectural aesthetic character by Australia’s designers, councils and courts.
Combining empirical, neurophysiological and machine-learning approaches, this project expects to provide a new level of robustness and repeatability in administrative and legal assessments of building aesthetics.
Planned outcomes include: (i) a uni ....Assessing Architectural Aesthetic Character: An ‘Intelligent’ Approach. This project aims to develop ground-breaking insights and software to improve the assessment of architectural aesthetic character by Australia’s designers, councils and courts.
Combining empirical, neurophysiological and machine-learning approaches, this project expects to provide a new level of robustness and repeatability in administrative and legal assessments of building aesthetics.
Planned outcomes include: (i) a unique quantitative understanding of aesthetic assessment and (ii) a world-first method for measuring and comparing the character of buildings.
This research has the potential to reduce the substantial cost of disputes and provide more certainty and efficiency in the architectural design, approval and appeal processes.
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