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Australian State/Territory : ACT
Socio-Economic Objective : Health Protection and/or Disaster Response
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  • Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100015

    Funder
    Australian Research Council
    Funding Amount
    $430,000.00
    Summary
    Australian Facility for Taphonomic Experimental Research . Australian facility for taphonomic experimental research: The aim of this project is to establish a unique Australian research facility dedicated to studying the physical, chemical, and biological processes of human decomposition. This facility will be the first of its kind in Australia and the Southern Hemisphere, drawing together a collaborative team of experts in a broad range of taphonomy disciplines. The results of the research are .... Australian Facility for Taphonomic Experimental Research . Australian facility for taphonomic experimental research: The aim of this project is to establish a unique Australian research facility dedicated to studying the physical, chemical, and biological processes of human decomposition. This facility will be the first of its kind in Australia and the Southern Hemisphere, drawing together a collaborative team of experts in a broad range of taphonomy disciplines. The results of the research are expected to advance our limited understanding of the taphonomic processes acting on remains in a natural Australian environment. The outcomes will assist police and forensic services to improve their procedures for searching, locating, recovering, and identifying missing persons, victims of homicide, and victims of disaster on both a national and international scale.
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    Funded Activity

    Discovery Projects - Grant ID: DP140102394

    Funder
    Australian Research Council
    Funding Amount
    $550,000.00
    Summary
    Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into exist .... Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into existing modelling platforms. It is argued that assimilating real-time satellite soil moisture data into flood models can increase accuracy manifold, even if the images are uncertain. The understanding gained in course of the proposed project has the potential to significantly reduce the damage caused year after year, especially in the data poor regions of the world.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE120100786

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    Slow catastrophes: drought resilience amongst farmers and agricultural communities in south eastern Australia, 1880s-2000s. Drought is a profound shaper of rural society. This project will explore the way rural Australians have adapted to, and survived, drought in Australian history. Understanding human resilience in drought in the past will contribute to developing strategies for coping with drought and global climate change in the future.
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    Funded Activity

    Discovery Projects - Grant ID: DP130103051

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    View-based processing of pattern matching queries in large graphs. Graph data exist ubiquitously in modern information systems. Graph pattern matching (GPM) finds parts of the data graph that match a given pattern. It has applications in many areas including knowledge discovery, public health, and crime detection. This project will develop novel techniques for the efficient processing of GPM queries in large graphs.
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    Showing 1-4 of 4 Funded Activites

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