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Scheme : Linkage Projects
Research Topic : Software architecture
Australian State/Territory : TAS
Australian State/Territory : NSW
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP190100926

    Funder
    Australian Research Council
    Funding Amount
    $292,154.00
    Summary
    Architectural Work Cultures: professional identity, education and wellbeing. This project aims to examine the work and study cultures of architecture in Australia, in relation to professional identity, and in terms of impact on wellbeing, with a whole-of-career scope spanning education to retirement. It will generate the first comprehensive account of work-related wellbeing problems for both architectural practitioners and students, via qualitative and quantitative methods and a vigorous engagem .... Architectural Work Cultures: professional identity, education and wellbeing. This project aims to examine the work and study cultures of architecture in Australia, in relation to professional identity, and in terms of impact on wellbeing, with a whole-of-career scope spanning education to retirement. It will generate the first comprehensive account of work-related wellbeing problems for both architectural practitioners and students, via qualitative and quantitative methods and a vigorous engagement with the profession. Expected outcomes include two toolkits to assist the profession to support cultural change across educational, workplace and institutional settings. This should provide significant benefits for the wellbeing of architects at all career stages, and also support the long-term viability of the sector.
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    Funded Activity

    Linkage Projects - Grant ID: LP160100935

    Funder
    Australian Research Council
    Funding Amount
    $382,000.00
    Summary
    Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar .... Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP200300843

    Funder
    Australian Research Council
    Funding Amount
    $441,572.00
    Summary
    Putting death in its place. The project aims to link 890,000 population records to place of residence from 1838 to 1930, to examine the relationships between where people live, mortality, life expectancy and health. Where people live impacts their life-course outcomes. Using novel matching techniques, the project expects to identify intergenerational changes and the spatial dynamics of inequality and social mobility. Expected outcomes include the creation of a public resource of linked data and .... Putting death in its place. The project aims to link 890,000 population records to place of residence from 1838 to 1930, to examine the relationships between where people live, mortality, life expectancy and health. Where people live impacts their life-course outcomes. Using novel matching techniques, the project expects to identify intergenerational changes and the spatial dynamics of inequality and social mobility. Expected outcomes include the creation of a public resource of linked data and a better understanding of long-run health and inequality. These should provide economic and social benefits by informing policy aimed at contemporary social and health challenges, enhancing our understanding of Australian history, and developing public resources.
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