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2026 ARDC Annual Survey is now open!

The Australian Research Data Commons (ARDC) invites you to participate in a short survey about your interaction with the ARDC and use of our national research infrastructure and services. The survey will take approximately 5 minutes and is anonymous. It’s open to anyone who uses our digital research infrastructure services including Reasearch Link Australia.

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Research Topic : Insurance services
Scheme : Early Career Industry Fellowships
Australian State/Territory : SA
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  • Active Funded Activity

    Early Career Industry Fellowships - Grant ID: IE230100437

    Funder
    Australian Research Council
    Funding Amount
    $417,237.00
    Summary
    Nanobubbles for effective and energy efficient water treatment. This project aims to produce new knowledge for developing ozone nanobubbles as a technological option for the water industry where commercially suitable technologies are unavailable. Australian water utilities have identified two key challenges: destruction of micropollutants and natural organic matter in recycled and reservoir water, respectively. New knowledge from the project will allow these water utilities to utilise the extrao .... Nanobubbles for effective and energy efficient water treatment. This project aims to produce new knowledge for developing ozone nanobubbles as a technological option for the water industry where commercially suitable technologies are unavailable. Australian water utilities have identified two key challenges: destruction of micropollutants and natural organic matter in recycled and reservoir water, respectively. New knowledge from the project will allow these water utilities to utilise the extraordinary properties of nanobubbles and the strong oxidation capability of ozone for effective and energy efficient water treatment. Tech-transfer to the industry is guaranteed through a scientifically designed pilot plant for benchmarking against the current state of the art ozonation process and reverse osmosis.
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    Active Funded Activity

    Early Career Industry Fellowships - Grant ID: IE230100422

    Funder
    Australian Research Council
    Funding Amount
    $386,637.00
    Summary
    Feasible quantification of greenhouse gas emitted from wastewater treatment. This project aims to develop an accurate and practical approach to quantify greenhouse gas (GHG) emissions from wastewater treatment. Australian water utilities have pledged to net-zero emissions. However, most utilities do not know its actual emissions due to lack of feasible quantification method. This project will apply an interdisciplinary approach via mechanism investigations, mathematical modelling, and field work .... Feasible quantification of greenhouse gas emitted from wastewater treatment. This project aims to develop an accurate and practical approach to quantify greenhouse gas (GHG) emissions from wastewater treatment. Australian water utilities have pledged to net-zero emissions. However, most utilities do not know its actual emissions due to lack of feasible quantification method. This project will apply an interdisciplinary approach via mechanism investigations, mathematical modelling, and field works to develop and validate a new feasible quantification method. This project will also advance knowledge on GHG emissions to guide quantification design. The outcomes will be translated into industry protocols and disseminated into industry. The outcomes provide timely support to water sector on its pathway to net-zero.
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    Active Funded Activity

    Early Career Industry Fellowships - Grant ID: IE230100119

    Funder
    Australian Research Council
    Funding Amount
    $427,111.00
    Summary
    Towards Internet of Things Enabled Automated Mushroom Cultivation. This project aims to develop novel Internet-of-Things based learning techniques to inform the design and construction of a portable, automated system for the cultivation of mushrooms. The expected outcomes are a portable smart mushroom cultivation system that provides access to new agriculture techniques and local, fresh supplies in rural and remote areas; learning algorithms that detect mushroom ripeness and set the best environ .... Towards Internet of Things Enabled Automated Mushroom Cultivation. This project aims to develop novel Internet-of-Things based learning techniques to inform the design and construction of a portable, automated system for the cultivation of mushrooms. The expected outcomes are a portable smart mushroom cultivation system that provides access to new agriculture techniques and local, fresh supplies in rural and remote areas; learning algorithms that detect mushroom ripeness and set the best environmental parameters; and a dataset of mushroom cultivation parameters. These products, and associated training opportunities through a strong focus on public and industry engagement, will benefit the industry partners and horticultural producers to improve resource efficiency, waste reduction, and overall yield.
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