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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

    ARC Future Fellowships - Grant ID: FT0990811

    Funder
    Australian Research Council
    Funding Amount
    $686,400.00
    Summary
    Spatial Cognition—Expressive Representation Formalisms and Effective Reasoning Mechanisms. The project will contribute significantly to the advancement of knowledge in breakthrough science in qualitative spatial reasoning and smart information use in geographic information systems. Expressive spatial languages are important in organising spatial knowledge, defining spatial query languages and guiding spatial data mining. Effective spatial reasoning mechanisms bring theory closer to applications .... Spatial Cognition—Expressive Representation Formalisms and Effective Reasoning Mechanisms. The project will contribute significantly to the advancement of knowledge in breakthrough science in qualitative spatial reasoning and smart information use in geographic information systems. Expressive spatial languages are important in organising spatial knowledge, defining spatial query languages and guiding spatial data mining. Effective spatial reasoning mechanisms bring theory closer to applications including consistency checking and spatial query pre-processing. The project will help in extracting knowledge from massive spatial databases, meeting the growing needs of naive users for spatial information and establishing Australia as a major player in spatial cognition research and in the development of geo-location services.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT0991709

    Funder
    Australian Research Council
    Funding Amount
    $788,800.00
    Summary
    3D Structure determination of biomacromolecular assemblies from sparse data. This project has direct impact on pharmaceutical research: Biomacromolecular interactions are key points for pharmaceutical intervention and detailed structural knowledge of dynamic protein interactions can significantly accelerate drug development. Australia has invested in expensive instrumentation that can be used with new laboratory methods to obtain information on delicately balanced biomacromolecular interactions, .... 3D Structure determination of biomacromolecular assemblies from sparse data. This project has direct impact on pharmaceutical research: Biomacromolecular interactions are key points for pharmaceutical intervention and detailed structural knowledge of dynamic protein interactions can significantly accelerate drug development. Australia has invested in expensive instrumentation that can be used with new laboratory methods to obtain information on delicately balanced biomacromolecular interactions, and how they malfunction in disease. This project will provide a computational framework to increase the impact of this investment by integrating measurements from a range of novel technologies and developing understanding of changes in structure of large protein complexes in different functional states.
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    ARC Future Fellowships - Grant ID: FT0990895

    Funder
    Australian Research Council
    Funding Amount
    $688,800.00
    Summary
    The Spectral Theory and Harmonic Analysis of Geometric Differential Operators. The project will involve mathematical research of the highest international standard in two very active and far-reaching field of mathematics: quantum chaos, and harmonic analysis. Progress in these fields will have implications in areas such as communications technology (e.g. image compression), quantum theory, and mathematical analysis (e.g. partial differential equations).
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT0992226

    Funder
    Australian Research Council
    Funding Amount
    $788,800.00
    Summary
    Modelling, Identification and Control of Complex Networks. Australia has been well known for its leading research in systems and control and many real-world applications in, for instance, telecommunications, defence, power grids and life sciences. This project will further promote Australia's leading position in the emerging new research field - complex networks by theoretical breakthrough in modelling, identification and control of complex networks, and cutting-edge platform technology that can .... Modelling, Identification and Control of Complex Networks. Australia has been well known for its leading research in systems and control and many real-world applications in, for instance, telecommunications, defence, power grids and life sciences. This project will further promote Australia's leading position in the emerging new research field - complex networks by theoretical breakthrough in modelling, identification and control of complex networks, and cutting-edge platform technology that can help Australian energy industry to reduce greenhouse emissions. It will also result in education of the next generation research leaders in this emerging field.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT0991771

    Funder
    Australian Research Council
    Funding Amount
    $788,800.00
    Summary
    Foundations of Vision Based Control of Robotic Vehicles. Automated and partially automated robotic vehicles are an emerging technology in society. The safety and performance of such systems depends crucially on their sensing and control algorithms. Vision sensing is one of the few sensor modalities that has the potential to adequately represent the complexity of a real world environment. By providing simple and effective vision based control algorithms this project develops Frontier Technologi .... Foundations of Vision Based Control of Robotic Vehicles. Automated and partially automated robotic vehicles are an emerging technology in society. The safety and performance of such systems depends crucially on their sensing and control algorithms. Vision sensing is one of the few sensor modalities that has the potential to adequately represent the complexity of a real world environment. By providing simple and effective vision based control algorithms this project develops Frontier Technologies for Building and Transforming Australian Industries by enabling a wide range of robotic vehicle applications, including aerial, submersible, and wheeled vehicles.
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