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  • Funded Activity

    Linkage Projects - Grant ID: LP0882335

    Funder
    Australian Research Council
    Funding Amount
    $90,000.00
    Summary
    Girls and Information Communication Technology (ICT) Career Pathways: Tackling the Upper Middle School 'Turn Off'. This project aims to develop strategic responses to factors associated with girls forming such negative perceptions of Information Communication Technology during their upper middle school years that they overwhelmingly reject Information Communication Technology as an option for advanced study and future careers. This project will contribute towards Australia's National Research Pr .... Girls and Information Communication Technology (ICT) Career Pathways: Tackling the Upper Middle School 'Turn Off'. This project aims to develop strategic responses to factors associated with girls forming such negative perceptions of Information Communication Technology during their upper middle school years that they overwhelmingly reject Information Communication Technology as an option for advanced study and future careers. This project will contribute towards Australia's National Research Priority 3 of building and transforming frontier technologies to maximize creative, technological capability by collaboratively developing a strategic model for responding to factors identified as 'turning girls off Information Communication Technology'.
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    Funded Activity

    Linkage Projects - Grant ID: LP0453928

    Funder
    Australian Research Council
    Funding Amount
    $74,696.00
    Summary
    Developing informed and integrated strategies to address low female participation rates in professional Information Communication Technologies careers and pathways. This project proposes collaborative research to address low rates of female participation in Information Communication Technology professional occupations and education pathways - involving academic researchers and personnel from Education Queensland and Queensland based ICT companies . A comprehensive Queensland data set will be gen .... Developing informed and integrated strategies to address low female participation rates in professional Information Communication Technologies careers and pathways. This project proposes collaborative research to address low rates of female participation in Information Communication Technology professional occupations and education pathways - involving academic researchers and personnel from Education Queensland and Queensland based ICT companies . A comprehensive Queensland data set will be generated by surveying and interviewing female Year 11-12 students and ICT professionals, and analysed with industry partner involvement. Results will provide the basis for developing new and coordinated strategic approaches among education systems, ICT industry, and universities to improving school programs and enhancing female participation rates. This is necessary for addressing projected skill shortfalls and maximising talent pools available to industry.
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    Funded Activity

    Linkage Projects - Grant ID: LP0230324

    Funder
    Australian Research Council
    Funding Amount
    $67,635.00
    Summary
    Coding Error Isolation in Computerised Simulation Models with Application to Wastewater Treatment Systems. Simulation code verification through program testing and debugging is crucially important, but is tedious and often difficult. A novel approach will be studied in this project. The approach involves detecting coding errors through back-to-back testing using two independently implemented versions of a given mathematical model, and isolating the coding errors through systematically analysing .... Coding Error Isolation in Computerised Simulation Models with Application to Wastewater Treatment Systems. Simulation code verification through program testing and debugging is crucially important, but is tedious and often difficult. A novel approach will be studied in this project. The approach involves detecting coding errors through back-to-back testing using two independently implemented versions of a given mathematical model, and isolating the coding errors through systematically analysing the test error signal generated (the difference between the outputs of the two models). This is possible because one of the two versions is implemented in such a way that the test error carries an easily identifiable feature. This project could revolutionize the area of model verification.
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