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Research Topic : Surface Processes
Australian State/Territory : WA
Australian State/Territory : TAS
Australian State/Territory : NT
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  • Funded Activity

    Linkage Projects - Grant ID: LP160100093

    Funder
    Australian Research Council
    Funding Amount
    $340,000.00
    Summary
    Diagnosing river health using invertebrate traits and DNA barcodes. Diagnosing river health using invertebrate traits and DNA barcodes. This project aims to develop indices that link change in invertebrate communities to specific environmental stressors, and combine these indices with innovative, low cost molecular approaches to species identification to rapidly identify the causes of decline. River health assessment methods, usually based on aquatic invertebrates, identify if rivers are impaire .... Diagnosing river health using invertebrate traits and DNA barcodes. Diagnosing river health using invertebrate traits and DNA barcodes. This project aims to develop indices that link change in invertebrate communities to specific environmental stressors, and combine these indices with innovative, low cost molecular approaches to species identification to rapidly identify the causes of decline. River health assessment methods, usually based on aquatic invertebrates, identify if rivers are impaired but must be developed to identify the causes of decline. The intended outcomes are improved sustainable water resource management within and among states, and improved natural resource policy development.
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    Funded Activity

    Linkage Projects - Grant ID: LP160100211

    Funder
    Australian Research Council
    Funding Amount
    $362,000.00
    Summary
    Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic erro .... Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic errors affecting thousands. This research tests a new method of assessing diagnostic skills based on how skilled operators respond to cues. This project will test how employees’ diagnostic skills change and whether this change corresponds to measures of organisational performance. This research is expected to provide organisations with a tool to pre-empt diagnostic errors that could minimise costs to the economy.
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