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Australian State/Territory : NT
Research Topic : sensory function
Australian State/Territory : ACT
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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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    Funded Activity

    Linkage Projects - Grant ID: LP140100222

    Funder
    Australian Research Council
    Funding Amount
    $363,000.00
    Summary
    Investigating movement, distribution, abundance and diet to support management objectives for threatened riverine predators in Northern Australia. The rivers and estuaries of northern Australia are highly productive environments, containing an exceptional diversity and abundance of large predatory aquatic species. This project aims to monitor the movements, habitat preferences and diet in eight large predatory species in a northern Queensland river over the next three years. Movement data will b .... Investigating movement, distribution, abundance and diet to support management objectives for threatened riverine predators in Northern Australia. The rivers and estuaries of northern Australia are highly productive environments, containing an exceptional diversity and abundance of large predatory aquatic species. This project aims to monitor the movements, habitat preferences and diet in eight large predatory species in a northern Queensland river over the next three years. Movement data will be combined with isotopic analysis to reveal how environmental and biological factors drive animal movements and impact habitat connectivity. In a world of vanishing top predators, it is imperative to understand system dynamics before we can evaluate the impact of species removal on ecosystem function.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220100823

    Funder
    Australian Research Council
    Funding Amount
    $508,976.00
    Summary
    Linking terrestrial–aquatic fluxes to rectify the Australian carbon balance. This project aims to rectify the Australian carbon balance by determining the amount of terrestrial carbon that is lost to streams and rivers across the country. Through a novel integration of high-resolution hydrochemical and gas measurements, remote sensing and machine learning algorithms, the project intends to generate new knowledge about the links between terrestrial carbon sequestration and aquatic carbon export. .... Linking terrestrial–aquatic fluxes to rectify the Australian carbon balance. This project aims to rectify the Australian carbon balance by determining the amount of terrestrial carbon that is lost to streams and rivers across the country. Through a novel integration of high-resolution hydrochemical and gas measurements, remote sensing and machine learning algorithms, the project intends to generate new knowledge about the links between terrestrial carbon sequestration and aquatic carbon export. Expected outcomes include a refined estimate of the net carbon sequestration potential across Australian biomes and seasons. This should provide significant benefits such as avoiding misalignment of greenhouse gas abatement policies and advancing carbon cycling models and predictions.
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