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Status : Active
Research Topic : CLINICAL GUIDELINES
Australian State/Territory : ACT
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP220100006

    Funder
    Australian Research Council
    Funding Amount
    $319,981.00
    Summary
    Promoting Child and Carer Wellbeing and Placement Stability in Kinship Care. Kinship care is the fastest growing out-of-home care placement in Australia, yet least supported. This project aims to implement and evaluate an attachment and trauma-based program for kinship carers, explore its suitability for cultural adaptation for Indigenous families and co-design practical resources to promote program sustainability and trauma-informed practice. This project is Australia’s first randomised trial o .... Promoting Child and Carer Wellbeing and Placement Stability in Kinship Care. Kinship care is the fastest growing out-of-home care placement in Australia, yet least supported. This project aims to implement and evaluate an attachment and trauma-based program for kinship carers, explore its suitability for cultural adaptation for Indigenous families and co-design practical resources to promote program sustainability and trauma-informed practice. This project is Australia’s first randomised trial of a tailored program for kinship carers and expects to generate vital knowledge on evidence-based support. Via implementing an innovative program for kinship carers in statutory child protection, this project should build capacity for research-based practice and benefit family wellbeing and placement outcomes in kinship care.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE170100078

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    Strengthening parent-child relationships to promote child adjustment. This project aims to provide new insight into how biological and foster parents can support their children during periods of heightened vulnerability when they transition to high school or a new foster care placement. It aims to address the shortage of relationally-focused prevention strategies tailored to both biological and foster parents’ needs and delivered at critical transitions in children’s lives. Outcomes are expected .... Strengthening parent-child relationships to promote child adjustment. This project aims to provide new insight into how biological and foster parents can support their children during periods of heightened vulnerability when they transition to high school or a new foster care placement. It aims to address the shortage of relationally-focused prevention strategies tailored to both biological and foster parents’ needs and delivered at critical transitions in children’s lives. Outcomes are expected to shed light on the effects of attachment quality and to advance evidence-based psychological practice in enhancing child adjustment.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200103223

    Funder
    Australian Research Council
    Funding Amount
    $396,000.00
    Summary
    Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored .... Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.
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    Showing 1-3 of 3 Funded Activites

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