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Australian State/Territory : NT
Research Topic : intelligence
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP240102733

    Funder
    Australian Research Council
    Funding Amount
    $351,000.00
    Summary
    The demographic consequences of extreme weather events in Australia. This project aims to understand how extreme weather events are likely to affect Australians’ residential mobility choices, using machine learning techniques to provide the first overview of the impact of natural hazards on where Australians are likely to live in the future. Expected outcomes include an understanding of the influence of extreme weather events on changes in population numbers and composition. Expected benefits in .... The demographic consequences of extreme weather events in Australia. This project aims to understand how extreme weather events are likely to affect Australians’ residential mobility choices, using machine learning techniques to provide the first overview of the impact of natural hazards on where Australians are likely to live in the future. Expected outcomes include an understanding of the influence of extreme weather events on changes in population numbers and composition. Expected benefits include an understanding of how environmental drivers are influencing internal migration in Australia, enabling better planning for service provision and economic growth.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775760

    Funder
    Australian Research Council
    Funding Amount
    $101,967.00
    Summary
    Satellite remote sensing and GIS data processing facilities at Charles Darwin University, Darwin. Northern Australia is vast, remote and spreads across diverse and extensive landscapes. There is no centralised remote sensing and GIS facility within 2000 kilometres of the CDU, Darwin. The upgraded infrastructure at CDU will assist in strengthening the research base in this remote part of Australia. This will allow the NT researchers to focus on the environmental applications of remote sensing and .... Satellite remote sensing and GIS data processing facilities at Charles Darwin University, Darwin. Northern Australia is vast, remote and spreads across diverse and extensive landscapes. There is no centralised remote sensing and GIS facility within 2000 kilometres of the CDU, Darwin. The upgraded infrastructure at CDU will assist in strengthening the research base in this remote part of Australia. This will allow the NT researchers to focus on the environmental applications of remote sensing and GIS technologies which will have many community benefits through better management of water resources, land degradation, wetlands, cultural knowledge and sustainable use of Australian biodiversity. The infrastructure will also assist in the training of new researchers within this developing field.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240101952

    Funder
    Australian Research Council
    Funding Amount
    $574,487.00
    Summary
    First Nations AI: Country, Climate, Communication. Our team of Indigenous and western scholars aims to develop a systematic account of artificial intelligence and its possibilities in climate change communication in remote First Nations communities in northern Australia. Working under Indigenous governance, we will establish spaces for Indigenous landowners and scientists to come together to probe diverse AI techniques for making sense of climate predictions and risks. We will build the capacity .... First Nations AI: Country, Climate, Communication. Our team of Indigenous and western scholars aims to develop a systematic account of artificial intelligence and its possibilities in climate change communication in remote First Nations communities in northern Australia. Working under Indigenous governance, we will establish spaces for Indigenous landowners and scientists to come together to probe diverse AI techniques for making sense of climate predictions and risks. We will build the capacity of Indigenous people to conceive and design AI, accounting for divergent languages and knowledge systems. This is expected to lead to more effective and trustworthy communications about extreme weather and climate change, improving the preparedness and responses of remote First Nations communities.
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