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Research Topic : Microarray analysis
Field of Research : Psychology
Australian State/Territory : NSW
Australian State/Territory : SA
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  • Funded Activity

    Linkage Projects - Grant ID: LP130100270

    Funder
    Australian Research Council
    Funding Amount
    $750,000.00
    Summary
    The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100050

    Funder
    Australian Research Council
    Funding Amount
    $570,000.00
    Summary
    Integrated facility for recording driver and road user behaviour. The integrated facility will be used to record and analyse data on driver and road user behaviour, in normal and safety-critical situations, for thousands of Australian drivers. The data yielded will be used to develop new and improved countermeasures for reducing road deaths and serious injuries on Australian roads.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102160

    Funder
    Australian Research Council
    Funding Amount
    $440,000.00
    Summary
    Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more princi .... Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more principled and comprehensive computational model of reasoning in both adults and children. The project should provide significant benefits by helping to resolve long-standing debates about how humans reason complex arguments relevant to everyday lives and guide development of more effective methods for teaching reasoning.
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