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Australian State/Territory : QLD
Research Topic : PAIN IMPACT
Field of Research : Statistics
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  • Funded Activity

    Linkage Projects - Grant ID: LP0560544

    Funder
    Australian Research Council
    Funding Amount
    $160,000.00
    Summary
    Elicitation and Integration of Expert Information for Natural Resource Management with a Focus on Water. Australia's natural resource management requires integrating information from many sources, including survey data and community and expert opinion. We aim to develop statistical methods to formally combine this information and apply them to better management of our crucial resource, water. The project contributes significantly to Australia's international obligations, and government agency an .... Elicitation and Integration of Expert Information for Natural Resource Management with a Focus on Water. Australia's natural resource management requires integrating information from many sources, including survey data and community and expert opinion. We aim to develop statistical methods to formally combine this information and apply them to better management of our crucial resource, water. The project contributes significantly to Australia's international obligations, and government agency and regional group science-based decision-making. Outcomes include increased fundamental knowledge in statistics, technology transfer and improved decision-making capacity for natural resource management. The project builds on strong existing collaborations between academic and industry partners and provides foundation for future funded projects.
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    Funded Activity

    Linkage Projects - Grant ID: LP0668185

    Funder
    Australian Research Council
    Funding Amount
    $381,000.00
    Summary
    Measuring and presenting uncertainty in complex natural resource monitoring programs. This project addresses Australia's key research goal of An Environmentally Sustainable Australia, priority goals of Water, Soil and Climate, and the theme of Complex Systems.Through improved capability in making data-based decisions and true sharing of university and government agency expertise, the project will enhance Australia's ability to better manage its natural resources, meet national and international .... Measuring and presenting uncertainty in complex natural resource monitoring programs. This project addresses Australia's key research goal of An Environmentally Sustainable Australia, priority goals of Water, Soil and Climate, and the theme of Complex Systems.Through improved capability in making data-based decisions and true sharing of university and government agency expertise, the project will enhance Australia's ability to better manage its natural resources, meet national and international environmental commitments, and address national demands for quality science underpinning decisions about natural resource management
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0453870

    Funder
    Australian Research Council
    Funding Amount
    $102,900.00
    Summary
    Social science advanced data modelling, analysis and visualisation facility. This is an integrated facility for advanced social science data analysis, modelling and visualisation located at The University of Queensland. The collaborating institutions are UQ, ANU and Griffith University. The facility promotes deep collaborations between social scientists and quantitative methodologists (statisticians, biostatisticians, econometricians) to enable leading edge quantitative analyses of survey, spati .... Social science advanced data modelling, analysis and visualisation facility. This is an integrated facility for advanced social science data analysis, modelling and visualisation located at The University of Queensland. The collaborating institutions are UQ, ANU and Griffith University. The facility promotes deep collaborations between social scientists and quantitative methodologists (statisticians, biostatisticians, econometricians) to enable leading edge quantitative analyses of survey, spatial and population data, new developments in quantitative methodology for statistical modelling and data visualisation, enhanced international research linkages and advanced postgraduate research training.
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