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Current Selection
Status : Active
Socio-Economic Objective : Injury Prevention and Control
Research Topic : case-control study
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  • Active Funded Activity

    Early Career Industry Fellowships - Grant ID: IE230100135

    Funder
    Australian Research Council
    Funding Amount
    $448,222.00
    Summary
    Developing strong, robust and high performing women football players. Women drop out of Australian football at a higher rate than men, often due to concerns about their physical capabilities and performance. Yet, coaches do not prioritise developing physical capacity (eg strength), due to perceived lack of relevance to football. In community Australian football players, this study will identify physical capacity elements relevant for football performance, assess the change across a typical seaso .... Developing strong, robust and high performing women football players. Women drop out of Australian football at a higher rate than men, often due to concerns about their physical capabilities and performance. Yet, coaches do not prioritise developing physical capacity (eg strength), due to perceived lack of relevance to football. In community Australian football players, this study will identify physical capacity elements relevant for football performance, assess the change across a typical season and the influence of gender and age. Combining sport science and engineering, smartphone videos and open-access software will be utilised to develop cost-effective methods to assess tackling skill. Findings will inform better training strategies for women, reducing injury, enhancing retention and physical activity.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240101449

    Funder
    Australian Research Council
    Funding Amount
    $662,267.00
    Summary
    Predictive Biomechanics for Modelling Gait Stability and Falls Prediction. Efficient, adaptive locomotion is critical to our independence, but it is adversely affected by neuromuscular disorders due to trauma, ageing and other impairments that increase the risk of balance loss and falling. This project investigates the extraordinary possibilities of advancing from the traditional laboratory-based, retrospective, gait research paradigm, to real-world gait monitoring using predictive biomechanics. .... Predictive Biomechanics for Modelling Gait Stability and Falls Prediction. Efficient, adaptive locomotion is critical to our independence, but it is adversely affected by neuromuscular disorders due to trauma, ageing and other impairments that increase the risk of balance loss and falling. This project investigates the extraordinary possibilities of advancing from the traditional laboratory-based, retrospective, gait research paradigm, to real-world gait monitoring using predictive biomechanics. By employing artificial intelligence, wearable sensors' data will predict balance loss and alert the user. The outcome will be fundamental knowledge for developing wearable systems to reduce the catastrophic impact of falls, with public health cost savings and improved quality of life for people with restricted mobility.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240101533

    Funder
    Australian Research Council
    Funding Amount
    $533,965.00
    Summary
    Addressing significant product safety knowledge gaps for older Australians . This project addresses significant gaps in contemporary knowledge of consumer product safety risks for older persons, with 25 years since the last Australian product safety research found older persons are at high risk of product-related injury/death. Products have evolved substantially and aged care models have changed in that time. This project generates contemporary knowledge of unsafe products causing injuries/death .... Addressing significant product safety knowledge gaps for older Australians . This project addresses significant gaps in contemporary knowledge of consumer product safety risks for older persons, with 25 years since the last Australian product safety research found older persons are at high risk of product-related injury/death. Products have evolved substantially and aged care models have changed in that time. This project generates contemporary knowledge of unsafe products causing injuries/deaths, risk factors/behaviours, and human rights issues. Outcomes benefiting the Australian community are improved prediction/characterisation of product safety issues for older Australians informing safer product design and use, targetted regulatory responses, ageing-in-place strategies, and creating safer home environments.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230100949

    Funder
    Australian Research Council
    Funding Amount
    $565,000.00
    Summary
    Brain-skull interface: discovering the missing piece of head biomechanics. Overall objective of this project is to measure, mathematically describe and implement in software mechanical properties of brain-skull interface – a critical component of current large and sophisticated computational models of the brain and the last missing piece of brain biomechanics knowledge. This will allow increased reliability of comprehensive biomechanical models used to simulate realistic injury and surgery scena .... Brain-skull interface: discovering the missing piece of head biomechanics. Overall objective of this project is to measure, mathematically describe and implement in software mechanical properties of brain-skull interface – a critical component of current large and sophisticated computational models of the brain and the last missing piece of brain biomechanics knowledge. This will allow increased reliability of comprehensive biomechanical models used to simulate realistic injury and surgery scenarios. The problem is significant and urgent. Every year in Australia, there are over 22,000 cases of traumatic brain injury, some of which could be prevented by better passive and active countermeasures; and over 12,000 neurosurgical procedures that surgical simulation could make more accurate and therefore safer.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT220100650

    Funder
    Australian Research Council
    Funding Amount
    $879,586.00
    Summary
    Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of .... Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of mechanisms driving insurance scheme performance, enabling comparison of anticipated outcomes in response to legislative changes, policy changes and management decisions. The project aims to help schemes avoid human and financial failure, benefitting people with injuries and disabilities while reducing scheme costs.
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