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Socio-Economic Objective : Human Capital Issues
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP180102875

    Funder
    Australian Research Council
    Funding Amount
    $408,916.00
    Summary
    Inequality of health, wealth and education in China. This project aims to examine whether China’s recent increase in income inequality is associated with increased inequalities in other well-being related outcomes: health, education and wealth. It also aims to identify the factors associated with increases in inequalities. Significant increases in income and wealth inequality could have detrimental effects on economic and political stability. The expected outcomes from this project will help to .... Inequality of health, wealth and education in China. This project aims to examine whether China’s recent increase in income inequality is associated with increased inequalities in other well-being related outcomes: health, education and wealth. It also aims to identify the factors associated with increases in inequalities. Significant increases in income and wealth inequality could have detrimental effects on economic and political stability. The expected outcomes from this project will help to identify policies useful in addressing inequalities and enhancing stability within Australia's important trading partner.
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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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