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Field of Research : Computer Software
Research Topic : COGNATE INTERACTION
Australian State/Territory : NSW
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Computer Software (5)
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  • Funded Activity

    Linkage Projects - Grant ID: LP140100574

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin .... Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347131

    Funder
    Australian Research Council
    Funding Amount
    $115,490.00
    Summary
    Intelligent Computer System to Access Information Directly from the Brain Using High Resolution Electroencephalography and Repetitive Transcranial Magnetic Stimulation. The ambitious aim of this project is to create a novel intelligent computer system which accesss information from the brain. To do this we use repetitive Transcranial Magnetic Stimulation and high resolution Electroencephalography.
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    Funded Activity

    Discovery Projects - Grant ID: DP0985271

    Funder
    Australian Research Council
    Funding Amount
    $230,000.00
    Summary
    An Integrative and Interactive Approach for Co-estimation of Multiple Sequence Alignment and Phylogeny Reconstruction. In this project innovative IT methods will be developed to assist biologists to solve complex and important biological problems. Many important applications in computational biology need very accurate and reliable tools for multiple sequence alignment and phylogeny reconstruction. Unfortunately, current existing tools are unreliable and are prone to serious errors when applied t .... An Integrative and Interactive Approach for Co-estimation of Multiple Sequence Alignment and Phylogeny Reconstruction. In this project innovative IT methods will be developed to assist biologists to solve complex and important biological problems. Many important applications in computational biology need very accurate and reliable tools for multiple sequence alignment and phylogeny reconstruction. Unfortunately, current existing tools are unreliable and are prone to serious errors when applied to large and divergent biological sequences. The success of this project will not only make significant contribution to the relevant research fields, but also help achieve goals in certain real-life biological research projects which are unique and important to Australia.
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    Funded Activity

    Discovery Projects - Grant ID: DP0877665

    Funder
    Australian Research Council
    Funding Amount
    $349,322.00
    Summary
    Pervasive Lifelong User Modelling for User Controlled Personalisation and Augmented Cognition. This project will give users the ability to scrutinise and control their personal data gathered in pervasive computing environments. This addresses people's concerns about privacy and overcomes a critical barrier for progress in the development of pervasive computing. This provides national benefit in the following ways: we will build software infrastructure that will have commercial and strategic v .... Pervasive Lifelong User Modelling for User Controlled Personalisation and Augmented Cognition. This project will give users the ability to scrutinise and control their personal data gathered in pervasive computing environments. This addresses people's concerns about privacy and overcomes a critical barrier for progress in the development of pervasive computing. This provides national benefit in the following ways: we will build software infrastructure that will have commercial and strategic value; we will build a set of demonstrator applications that address the national priority areas of smart information use, and promoting and maintaining good health; and we will enhance knowledge of the complementary fields of user modelling, context aware computing and personal privacy management.
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    Funded Activity

    Linkage Projects - Grant ID: LP160100935

    Funder
    Australian Research Council
    Funding Amount
    $382,000.00
    Summary
    Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar .... Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.
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