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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.

We will use the information you provide to improve the national research infrastructure and services we deliver and to report on user satisfaction to the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) program.

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Research Topic : Savings and Investments
Scheme : ARC Future Fellowships
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  • Funded Activity

    ARC Future Fellowships - Grant ID: FT210100543

    Funder
    Australian Research Council
    Funding Amount
    $824,125.00
    Summary
    Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) tra .... Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) translate the methods into practice, through guidelines, tools and training, engagement with users and case studies addressing species of current concern. This should provide significant benefits because it will enable better decisions and more effective and cost-efficient management actions.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT220100713

    Funder
    Australian Research Council
    Funding Amount
    $1,083,986.00
    Summary
    Synthetic genes as reference standards for biology and biomanufacture. Reference standards are needed to improve the measurement of biology and the reliability of biomanufacturing processes. This project aims to engineer synthetic genes capable of acting as reference standards for DNA, RNA and protein. The synthetic genes can be transcribed into mRNA standards, and translated into protein standards, and be further integrated into living cells to measure internal cellular processes. The outcomes .... Synthetic genes as reference standards for biology and biomanufacture. Reference standards are needed to improve the measurement of biology and the reliability of biomanufacturing processes. This project aims to engineer synthetic genes capable of acting as reference standards for DNA, RNA and protein. The synthetic genes can be transcribed into mRNA standards, and translated into protein standards, and be further integrated into living cells to measure internal cellular processes. The outcomes include a unified understanding of gene expression and more accurate next-generation sequencing and mass-spectrophotometry technologies. The synthetic genes also allow standardisation and optimisation of biomanufacturing processes that will produce mRNA and biologics products at a higher purity and lower cost.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT170100470

    Funder
    Australian Research Council
    Funding Amount
    $800,000.00
    Summary
    Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational appr .... Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational approaches that allow for integration of large-scale data with networks to predict metabolite concentration ranges. This will provide significant benefit with the aim of maintaining outstanding research in Australia, and has clear potential for improved human health and enhanced food quality via metabolic reprogramming.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT200100188

    Funder
    Australian Research Council
    Funding Amount
    $950,000.00
    Summary
    A fast comparative method for historical linguistics. Linguists are able to infer ancient histories of languages by a procedure known as the Comparative Method. Its results are used in related studies of human genetic and cultural change. However, the Comparative Method is a manual-only process and thus currently is a bottleneck for the science of unravelling the human past. This project aims to overcome this limitation and significantly accelerate linguistic discovery, by combining recent advan .... A fast comparative method for historical linguistics. Linguists are able to infer ancient histories of languages by a procedure known as the Comparative Method. Its results are used in related studies of human genetic and cultural change. However, the Comparative Method is a manual-only process and thus currently is a bottleneck for the science of unravelling the human past. This project aims to overcome this limitation and significantly accelerate linguistic discovery, by combining recent advances in computational language processing, statistics and cultural-evolutionary modelling. By producing innovative mathematical means for rapidly discovering ancient language relationships, it will enable a breakthrough in our capacity to uncover human linguistic, genetic and cultural heritage worldwide.
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