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Research Topic : Internet Broadcasting
Socio-Economic Objective : Artificial Intelligence
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  • Active Funded Activity

    ARC Future Fellowships - Grant ID: FT230100475

    Funder
    Australian Research Council
    Funding Amount
    $959,828.00
    Summary
    Aligning personalised news recommendations with the public interest . The project aims to investigate the growth of personalised recommendations in the Australian news sector, which sees readers and automated systems collectively adopting curatorial roles previously undertaken by editors. The research expects to provide the first evidence base around the adoption and deployment of personalised recommendations across the Australian news media. Expected outcomes include enhancing our understanding .... Aligning personalised news recommendations with the public interest . The project aims to investigate the growth of personalised recommendations in the Australian news sector, which sees readers and automated systems collectively adopting curatorial roles previously undertaken by editors. The research expects to provide the first evidence base around the adoption and deployment of personalised recommendations across the Australian news media. Expected outcomes include enhancing our understanding of how to sustain the important democratic role that the institution of journalism plays in a personalised and automated environment. Expected benefits include the provision of robust evidence to inform industry and policymakers, and support the development of best practice across the news media sector.
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    Active Funded Activity

    Industrial Transformation Research Hubs - Grant ID: IH230100013

    Funder
    Australian Research Council
    Funding Amount
    $5,000,000.00
    Summary
    ARC Research Hub for Future Digital Manufacturing. This Hub aims to grow and accelerate Australian digital manufacturing (DM) transformation by devising novel DM technology and commercialisation/adoption pathways. The Hub expects to transform industry by developing novel AI and IoT-powered DM technology that provides for dramatic improvement in manufacturing productivity, resilience and competitiveness. Expected outcomes include novel DM technology for digitally representing, predicting, and imp .... ARC Research Hub for Future Digital Manufacturing. This Hub aims to grow and accelerate Australian digital manufacturing (DM) transformation by devising novel DM technology and commercialisation/adoption pathways. The Hub expects to transform industry by developing novel AI and IoT-powered DM technology that provides for dramatic improvement in manufacturing productivity, resilience and competitiveness. Expected outcomes include novel DM technology for digitally representing, predicting, and improving production and its outcomes via an open platform that supports reusing industry co-created DM solutions. Through supporting advanced manufacturing priorities and Industry 4.0, the Hub should provide significant benefits by increasing Australian manufacturing productivity and resilience by 30%.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT230100563

    Funder
    Australian Research Council
    Funding Amount
    $1,113,857.00
    Summary
    Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating .... Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating and influencing attention allocation, and enable applications where content consumers, producers, hosting platforms and regulatory bodies are each empowered with their share of influence in the attention market.
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