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Research Topic : Behaviour change
Status : Declined
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  • Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE180100803

    Funder
    Australian Research Council
    Funding Amount
    $365,094.00
    Summary
    Impact of screen time on preschoolers’ social skills and cognitive function. This project aims to determine how the quantity and nature of screen time interacts with parental co-participation to affect pre-schoolers’ social skills and cognitive functioning. Seventy per cent of pre-schoolers exceed current screen time guidelines and this causes considerable concern among Australian parents. This project will assist in evaluating how much, and which types, of screen time have benefits for social .... Impact of screen time on preschoolers’ social skills and cognitive function. This project aims to determine how the quantity and nature of screen time interacts with parental co-participation to affect pre-schoolers’ social skills and cognitive functioning. Seventy per cent of pre-schoolers exceed current screen time guidelines and this causes considerable concern among Australian parents. This project will assist in evaluating how much, and which types, of screen time have benefits for social skills and cognitive functioning. It will also provide insights into the ways parents may best support these outcomes. Findings are expected to provide evidence for policy development and inform programs to support healthy behaviours to give young children the best start in life.
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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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    Funded Activity

    Early Career Industry Fellowships - Grant ID: IE230100578

    Funder
    Australian Research Council
    Funding Amount
    $355,208.00
    Summary
    Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and ar .... Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and artificial intelligence (AI) to improve the accuracy of satellite-based soil C modelling. The project will provide an accurate and cost-effective solution to quantification of soil C changes to unlock a large potential of carbon offsets in rangelands in Australia and worldwide.
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