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Status : Active
Australian State/Territory : NT
Research Topic : Energy-efficient computing
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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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    Active Funded Activity

    Linkage Projects - Grant ID: LP170100985

    Funder
    Australian Research Council
    Funding Amount
    $711,000.00
    Summary
    Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty a .... Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty and test multiple geological scenarios. This enhanced capability is important for the future of Australia's subsurface management, including urban geology and our continuously growing sustainable resources industry.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP210301176

    Funder
    Australian Research Council
    Funding Amount
    $419,378.00
    Summary
    Co-designing a resilient water-energy toolbox with Indigenous communities. The aim is to collaboratively create a toolbox of innovative, community-based approaches for water and energy management in remote Australia. This project will combine digital and cultural approaches to create a novel set of tested and evaluated tools for engaging both community and service providers in transforming water and energy use practises in remote Indigenous communities. The key output will be an empirically-test .... Co-designing a resilient water-energy toolbox with Indigenous communities. The aim is to collaboratively create a toolbox of innovative, community-based approaches for water and energy management in remote Australia. This project will combine digital and cultural approaches to create a novel set of tested and evaluated tools for engaging both community and service providers in transforming water and energy use practises in remote Indigenous communities. The key output will be an empirically-tested and user friendly water-energy toolbox tailored to reduce the currently extreme cost of supplying essential services to remote communities. Application of these outputs will significantly reduce demand on local water sources and diesel-generated energy use while creating a skill base for local employment opportunities.
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