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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.

Please take a few minutes to provide your input. The survey closes COB Friday 29 May 2026.

Complete the 5 min survey now by clicking on the link below.

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  • Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE180100803

    Funder
    Australian Research Council
    Funding Amount
    $365,094.00
    Summary
    Impact of screen time on preschoolers’ social skills and cognitive function. This project aims to determine how the quantity and nature of screen time interacts with parental co-participation to affect pre-schoolers’ social skills and cognitive functioning. Seventy per cent of pre-schoolers exceed current screen time guidelines and this causes considerable concern among Australian parents. This project will assist in evaluating how much, and which types, of screen time have benefits for social .... Impact of screen time on preschoolers’ social skills and cognitive function. This project aims to determine how the quantity and nature of screen time interacts with parental co-participation to affect pre-schoolers’ social skills and cognitive functioning. Seventy per cent of pre-schoolers exceed current screen time guidelines and this causes considerable concern among Australian parents. This project will assist in evaluating how much, and which types, of screen time have benefits for social skills and cognitive functioning. It will also provide insights into the ways parents may best support these outcomes. Findings are expected to provide evidence for policy development and inform programs to support healthy behaviours to give young children the best start in life.
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    Funded Activity

    Discovery Projects - Grant ID: DP200100310

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    High resolution warm ocean records from laminated sediment. This project will produce environmental records during ocean warming events in the geologic past to reveal processes associated with warm oceans similar to those anticipated in the coming century. New Australian technology allows investigation of sediment records at unprecedented time resolution providing insight into processes operating on societally relevant time scales of decades to centuries. This work will open an archive of climat .... High resolution warm ocean records from laminated sediment. This project will produce environmental records during ocean warming events in the geologic past to reveal processes associated with warm oceans similar to those anticipated in the coming century. New Australian technology allows investigation of sediment records at unprecedented time resolution providing insight into processes operating on societally relevant time scales of decades to centuries. This work will open an archive of climate information revealing feedback, thresholds and tipping points from past events previously inaccessible because of technical and conceptual limitations. It will provide critical inputs into models predicting future climate and to illuminate the risks and compensating feedbacks occurring with warming.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE210101896

    Funder
    Australian Research Council
    Funding Amount
    $436,875.00
    Summary
    Interface engineering of 2D materials for advanced battery application. The fast-growing energy storage market demands new devices with both high energy and power density. This project aims to understand and then engineering electrode-electrolyte interfaces using novel two-dimensional (2D) materials to achieve accelerated ion transport and enhanced surface redox reactions. Advanced in-situ and ex-situ characterization tools, including X-ray scattering, neutron scattering, and terahertz time-doma .... Interface engineering of 2D materials for advanced battery application. The fast-growing energy storage market demands new devices with both high energy and power density. This project aims to understand and then engineering electrode-electrolyte interfaces using novel two-dimensional (2D) materials to achieve accelerated ion transport and enhanced surface redox reactions. Advanced in-situ and ex-situ characterization tools, including X-ray scattering, neutron scattering, and terahertz time-domain spectroscopy, will be employed to study energy storage mechanisms. Novel solid-state batteries will be demonstrated based on well-designed electrodes using 2D materials. This project will boost the standing of Australia in the global competition of developing more efficient energy storage devices.
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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

    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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