Youth Voices was an innovative research project designed in response to the complex issues facing young people – particularly those in trouble with the law. Recognising that the perspectives of young people are frequently neglected, the project used an alternative approach to identify ways in which young people seek help, and who and what makes good help from their perspective.
Supporting dynamic multidimensional entrepreneurial resilience in Australia. This project aims to model entrepreneurial resilience, its formation and its influence on how creative transformation occurs, and whether ex ante adaptive capacity is in turn enhanced by having mastered crises. The project proposes a theoretical model to holistically measure resilience across the life course. Using longitudinal data for self-employed individuals in Australia the project analyses the impact of crisis and ....Supporting dynamic multidimensional entrepreneurial resilience in Australia. This project aims to model entrepreneurial resilience, its formation and its influence on how creative transformation occurs, and whether ex ante adaptive capacity is in turn enhanced by having mastered crises. The project proposes a theoretical model to holistically measure resilience across the life course. Using longitudinal data for self-employed individuals in Australia the project analyses the impact of crisis and economic policy on entrepreneur’s behaviour and SMEs entry exit decisions. The project informs policy making through employing discrete choice experiments to elicit entrepreneur’s preferences for government policy and support post crisis. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100168
Funder
Australian Research Council
Funding Amount
$413,847.00
Summary
Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features w ....Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features will then be used to characterise the morphological and functional changes, which provide opportunities to increase understanding of progression of diseases of individual subject. The outcome from this project will provide new insights into system biology with potential future benefits in healthcare.Read moreRead less
Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of ....Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of mechanisms driving insurance scheme performance, enabling comparison of anticipated outcomes in response to legislative changes, policy changes and management decisions. The project aims to help schemes avoid human and financial failure, benefitting people with injuries and disabilities while reducing scheme costs.Read moreRead less
Home-Centred Care For Children And Young People In Care
Funder
Australian Research Council
Summary
The research aims to:
-Determine how understandings of home enhance children and young people’s experiences in state care.
- Support carers to respond to children and young people’s needs.
- Develop home-centred principles and practice guidelines for organisations providing state care.
To leverage evidence-based research to develop new knowledge, technology and practices to benefit Australian children and families living in disadvantage
Enhancing Children's Journey In Out-of-Home Care: A Multi-perspective Study
Funder
Australian Research Council
Summary
A three-year study to examine children’s experiences of out-of-home care and their social, emotional and cultural outcomes. The project aims to provide evidence to improve service agencies’ understanding of children’s experiences in out-of-home care and how agencies can best support families, carers and communities to enhance the well-being of all children in out-of-home-care.
Software Quality Improvement Through Static Analysis and Annotation. Software forms the basis of critical infrastructure that supports industries such as electronic commerce. Flaws in the software can lead to failure of the overall system, or allow the security mechanisms of the software to be by-passed. This project is developing methods to improve the quality of software by finding common flaws that lead to security vulnerabilities or runtime failures. Within Australia, it is estimated that th ....Software Quality Improvement Through Static Analysis and Annotation. Software forms the basis of critical infrastructure that supports industries such as electronic commerce. Flaws in the software can lead to failure of the overall system, or allow the security mechanisms of the software to be by-passed. This project is developing methods to improve the quality of software by finding common flaws that lead to security vulnerabilities or runtime failures. Within Australia, it is estimated that there are approximately 75,000 software developers who make substantial use of C/C++ and who could benefit from the availability of better automatic static analysis tools to improve both the quality of the code they produce and their productivity.Read moreRead less
Combining Time Bands and Teleo-Reactive Programs for Advanced Dependable Real-Time Systems. Society is becoming increasingly reliant on sophisticated real-time computer systems in applications ranging from car stability control to critical infrastructure, such as railway signalling systems. Further, there is a demand for ever greater automation and sophistication in the software controlling these systems. The research challenge in this project is to provide robust implementations of these system ....Combining Time Bands and Teleo-Reactive Programs for Advanced Dependable Real-Time Systems. Society is becoming increasingly reliant on sophisticated real-time computer systems in applications ranging from car stability control to critical infrastructure, such as railway signalling systems. Further, there is a demand for ever greater automation and sophistication in the software controlling these systems. The research challenge in this project is to provide robust implementations of these systems in a way that allows one assess their dependability.
Australia industry is actively working in these areas through companies like Ansaldo Australia, in automated railway systems, and Boeing Australia, in the defence sector.Read moreRead less