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Research Topic : Statistical Genetics
Status : Declined
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  • Funded Activity

    Discovery Projects - Grant ID: DP210103877

    Funder
    Australian Research Council
    Funding Amount
    $659,083.00
    Summary
    Theoretical Foundations of Ethical Machine Learning. The project aims to develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project aims to develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification .... Theoretical Foundations of Ethical Machine Learning. The project aims to develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project aims to develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of the inevitable trade-offs between fairness and utility. The benefits of the project should include better ways of managing these trade-offs, a competitive advantage for Australian firms developing the technology, and will ensure that the country retains a social license to use the technology.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE160101535

    Funder
    Australian Research Council
    Funding Amount
    $363,000.00
    Summary
    Ancient genomics of Western Australian taxa to inform conservation management. The project aims to apply genomic approaches to infer the genetic health and evolutionary history of three threatened, iconic Western Australian taxa: black cockatoos, ghost bats and woylies. Genomic data provide a powerful lens through which to study species, but the applications of genomic techniques in conservation biology have been sparse. Effective restoration and conservation initiatives require an understanding .... Ancient genomics of Western Australian taxa to inform conservation management. The project aims to apply genomic approaches to infer the genetic health and evolutionary history of three threatened, iconic Western Australian taxa: black cockatoos, ghost bats and woylies. Genomic data provide a powerful lens through which to study species, but the applications of genomic techniques in conservation biology have been sparse. Effective restoration and conservation initiatives require an understanding of species' former population sizes, connectivity and biodiversity. The project seeks to elucidate the population genetic, phylogenetic, and conservation genetic parameters of the three species at the genomic level using DNA isolated from modern and ancient sources (eg museum skins and fossils). The information gained may inform conservation efforts for some of Australia’s endangered biota.
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    Funded Activity

    Australian Laureate Fellowships - Grant ID: FL200100176

    Funder
    Australian Research Council
    Funding Amount
    $3,128,080.00
    Summary
    Theoretical Foundations of Ethical Machine Learning. The project will develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project will develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of t .... Theoretical Foundations of Ethical Machine Learning. The project will develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project will develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of the inevitable trade-offs between fairness and utility. The benefits of the project will include the best possible ways of managing these trade-offs, competitive advantage for Australian firms developing the technology, and will ensure that the country retains a social license to use the technology.
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    Showing 1-3 of 3 Funded Activites

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