Architecture, Building and Planning - Research Publications

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    Place and Parametricism
    Roudavski, S ; Lee, V ; Burry, M ; Taylor, M ; Malpas, J (Real/Material/Ethereal: The 2nd Annual Design Research Conference, 2019)
    This project contributes to a broad range of design fields, especially architecture. The overarching project, also called Place and Parametricism, looks at qualitative and quantitative ways to represent and manage places. Within this theme, the focus of this exhibition is on the analysis of digitally held information and on design-research methods that can advance such research. The project: 1) develops an account of place that is useful in concrete design situations; 2) conducts a systematic examination of computational approaches to place; 3) creates and tests computational design tools that can advance place-oriented design; and 4) demonstrates the effectiveness of this toolkit. The exhibition specifically focuses on the demonstration of the methods and tools. In response to these aims, the project has conducted a range of design experiments. The investigators used these outputs for theory construction in collaborative multidisciplinary settings. The project has produced multiple outputs including contributions to theoretical understanding and practical design approaches. It produced novel teaching and learning strategies, demonstrated how computing can be used to unify multidisciplinary knowledge on place and disseminated the toolkit within relevant communities of practice. This recorded work has been selected for the exhibition within the Real/Material/Ethereal: The 2nd Annual Design Research Conference in 2019, the leading disciplinary research forum in Australia. The work is supported by the ARD DP170104010 grant and co-created with leaders in their fields. The publications are forthcoming, and the team are in an active discussion with the curators at the National Gallery of Victoria where this work will form a part of a major exhibition. The themes presented in the exhibition have been discussed in peer-reviewed publication, presented at conferences, and won awards for the excellence in research.
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    Place as Colour
    Roudavski, S ; Ward, W ; Burry, M ; Taylor, M ; Lee, V ; Malpas, J (Place and Paramericism Exhibition at Real/Material/Ethereal: The 2nd Annual Design Research Conference, 2019)
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    Trees as Places
    Roudavski, S ; Rutten, J ; Lee, V ; Burr, M ; Taylor, M ; Malpas, J (Place and Paramericism Exhibition at Real/Material/Ethereal: The 2nd Annual Design Research Conference, 2019)
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    Invisible Places
    Roudavski, S ; Lee, V ; Taylor, M ; Burry, M ; Malpas, J (Place and Paramericism Exhibition at Real/Material/Ethereal: The 2nd Annual Design Research Conference, 2019)
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    Sensing Place
    Roudavski, S ; Rutten, J ; Lee, V ; Burry, M ; Taylor, M ; Malpas, J (Place and Paramericism Exhibition at Real/Material/Ethereal: The 2nd Annual Design Research Conference, 2019)
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    Modelling Workflows for More-than-Human Design: Prosthetic Habitats for the Powerful Owl (Ninox strenua)
    Roudavski, S ; Parker, D ; Gengnagel, C ; Baverel, O ; Burry, J ; Thomsen, MR ; Weinzierl, S (Springer, 2019)
    Anthropogenic degradation of the environment is pervasive and expanding. Human construction activities destroy or damage habitats of nonhuman lifeforms. In many cases, artificial replacement habitats become necessary. However, designing for the needs and preferences of nonhuman lifeforms is challenging. Established workflows for this type of designing do not exist. This paper hypothesises that a multi-scale modelling approach can support inclusive, more-than-human design. The case-study project tests this approach by applying computational modelling to the design of prosthetic habitats for the powerful owl (Ninox strenua). The proposed approach simulates owls’ perception of the city based on scientific evidence. The tools include algorithmic mapping, 3D-scanning, generative modelling, digital fabrication and augmented-reality assembly. Outcomes establish techniques for urban-scale planning, site selection, tree-scale fitting, and nest-scale form-making. The findings demonstrate that computational modelling can (1) inform more-than-human design and (2) guide scientific data collection for more inclusive ecosystem management.