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Research Topic : Development of a classification system for errors
Australian State/Territory : VIC
Status : Declined
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  • Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE170100477

    Funder
    Australian Research Council
    Funding Amount
    $380,000.00
    Summary
    The unintended consequences of foreign military training. This project aims to explore the effects of foreign military training on civil-military relations in recipient states. Developed countries are increasingly training developing countries’ militaries. While training is provided to promote traditional security goals, development, and stability, it may have unintended consequences including increasing the prospect of a coup. Using quantitative and qualitative methods, including case studies o .... The unintended consequences of foreign military training. This project aims to explore the effects of foreign military training on civil-military relations in recipient states. Developed countries are increasingly training developing countries’ militaries. While training is provided to promote traditional security goals, development, and stability, it may have unintended consequences including increasing the prospect of a coup. Using quantitative and qualitative methods, including case studies of the US and Australia, the project aims to explain the effects of these training programs, advance the understanding of civil-military relations and produce policy recommendations to improve outcomes of engagement with foreign militaries.
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    Funded Activity

    Discovery Projects - Grant ID: DP220102089

    Funder
    Australian Research Council
    Funding Amount
    $454,560.00
    Summary
    Investigating Wnt signaling during human nephron commitment and patterning. Aims: To use gene edited stem cell lines that display cell location, identity and cell state to map human kidney tissue formation in the laboratory. By monitoring how each cell responds to those around it across time and space, we will for the first time map the formation of kidney tissue in the dish. Significance: Understanding how stem cells form a tissue will help us to improve and control the process. This is key to .... Investigating Wnt signaling during human nephron commitment and patterning. Aims: To use gene edited stem cell lines that display cell location, identity and cell state to map human kidney tissue formation in the laboratory. By monitoring how each cell responds to those around it across time and space, we will for the first time map the formation of kidney tissue in the dish. Significance: Understanding how stem cells form a tissue will help us to improve and control the process. This is key to advancing tissue engineering. Expected outcomes: The proposal will pioneer state-of-the-art imaging, gene editing and machine learning approaches, generating models of human development that are currently unavailable. Benefits: This understanding will guide the development of novel approaches to tissue engineering.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT210100543

    Funder
    Australian Research Council
    Funding Amount
    $824,125.00
    Summary
    Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) tra .... Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) translate the methods into practice, through guidelines, tools and training, engagement with users and case studies addressing species of current concern. This should provide significant benefits because it will enable better decisions and more effective and cost-efficient management actions.
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