Reconfiguring women's professional sport - on and off the pitch. This project aims to develop a model that reconfigures how women’s professional sport is structured, valued and managed. The project intends to examine professional women’s competitions (AFL, cricket, football, Rugby League and Rugby Union), their co-existence within their respective national associations and the experiences of contracted women athletes. Expected outcomes include the development of a new model of women’s profession ....Reconfiguring women's professional sport - on and off the pitch. This project aims to develop a model that reconfigures how women’s professional sport is structured, valued and managed. The project intends to examine professional women’s competitions (AFL, cricket, football, Rugby League and Rugby Union), their co-existence within their respective national associations and the experiences of contracted women athletes. Expected outcomes include the development of a new model of women’s professional sport, advancing knowledge of inclusive gender relevancy at the individual, team and organisational levels. The adoption of strategies and policies to improve the support and playing experiences of women would position Australia globally at the forefront of changing approaches to women’s professional sport.Read moreRead less
Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coord ....Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.Read moreRead less
Sustainable fiscal federalism and reform of the GST distribution system. The primary source of funds for Australian States and Territories is GST revenue distributed by the Commonwealth using an equalisation formula that has proved to be politically unsustainable and in recent times manifestly inadequate to provide the revenue needed in response to crises and natural disasters. A tipping point has been reached and reform is urgently needed. Drawing on international experience with GST distributi ....Sustainable fiscal federalism and reform of the GST distribution system. The primary source of funds for Australian States and Territories is GST revenue distributed by the Commonwealth using an equalisation formula that has proved to be politically unsustainable and in recent times manifestly inadequate to provide the revenue needed in response to crises and natural disasters. A tipping point has been reached and reform is urgently needed. Drawing on international experience with GST distributions specifically and fiscal federalism more generally, the project aims to develop a reform blueprint for a sustainable and equitable fiscal federalism regime in Australia that best aligns with Australia’s current and long-term fiscal needs.Read moreRead less
Exploring Wellbeing Outcomes in the Aquatic and Recreation Industry. This project aims to investigate the impact on individual wellbeing through use of public aquatic and recreation centres in Australia. Through the use of mixed methods across multiple locations, the project expects to generate new knowledge on the effect on users of different management and service models for the provision of aquatic and recreational infrastructure. Expected outcomes include a quantifiable measure of social and ....Exploring Wellbeing Outcomes in the Aquatic and Recreation Industry. This project aims to investigate the impact on individual wellbeing through use of public aquatic and recreation centres in Australia. Through the use of mixed methods across multiple locations, the project expects to generate new knowledge on the effect on users of different management and service models for the provision of aquatic and recreational infrastructure. Expected outcomes include a quantifiable measure of social and emotional wellbeing that can be utilised by centre management and government. This will help assessment of best practice for maximising community wellbeing, and can guide investment decisions by state and local government.Read moreRead less
Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutt ....Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutting-edge Blockchain based secure IoT data management and privacy-preserving smart contracts for smart farming supply-chain management. This data infrastructure will be the first of its kind which will lay a solid foundation for smart farming technology.Read moreRead less
Expectations and commitments in the Australia-USA alliance. This project aims to investigate the gap between the high expectations of mutual support and the lack of detailed security commitments in the Australia-US Alliance. The project intends to use a focused approach that captures thematic aspects of the alliance through project frames and historical slices across time. Expected outcomes can advance understanding of how alliances operate as security institutions. The outcomes can help to prom ....Expectations and commitments in the Australia-USA alliance. This project aims to investigate the gap between the high expectations of mutual support and the lack of detailed security commitments in the Australia-US Alliance. The project intends to use a focused approach that captures thematic aspects of the alliance through project frames and historical slices across time. Expected outcomes can advance understanding of how alliances operate as security institutions. The outcomes can help to promote a more informed national conversation about the costs and benefits of Australia's security relationship with the United States of America (USA) and contribute to debates over the future of the Australia-USA Alliance during a period of strategic uncertainty.Read moreRead less
Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-s ....Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-supervised learning that are robust to failures and provide explainable decisions for object detection and scene segmentation. The outcomes are expected to advance theory in robust deep learning and benefit 3D mapping, surveying, infrastructure monitoring, transport and robotics industries.Read moreRead less
Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor ....Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor authentication performance, which is not commercially applicable. This project aims to investigate innovative solutions to this issue. The intended deliverables will include deep learning based biometric feature extractor, cancellable biometrics and cloud oriented biometrics security protocols. Read moreRead less
Evaluating the impact of Indigenous preferential procurement programs. This project aims to conduct a multi-disciplinary, multi-method evaluation of the implementation and impacts of Indigenous preferential procurement programs (IPPPs) on Indigenous businesses, Indigenous communities, procurers’ operations and outcomes. Bringing together researchers in partnership with corporate and government procurers, Indigenous data custodians and the Australian Bureau of Statistics we aim to produce a signi ....Evaluating the impact of Indigenous preferential procurement programs. This project aims to conduct a multi-disciplinary, multi-method evaluation of the implementation and impacts of Indigenous preferential procurement programs (IPPPs) on Indigenous businesses, Indigenous communities, procurers’ operations and outcomes. Bringing together researchers in partnership with corporate and government procurers, Indigenous data custodians and the Australian Bureau of Statistics we aim to produce a significant national program evaluation of IPPPs and the impact at the community level. The project aims to highlight ways in which IPPPs can be [re]designed to reduce implementation friction, facilitate access and participation among Indigenous businesses and help guarantee positive effects on Indigenous communities.Read moreRead less
The Devonian Gogo Fauna: Diversity, Palaeoecology and Global Significance. The late Devonian Gogo Formation (380 million years old) is undoubtedly one of the richest and best-preserved assemblages of fossil fishes and invertebrates from this age anywhere on Earth. This project will use CT scanning for stomach contents, plus use biomechanical and morphometric analyses to reconstruct tropic relationships of reef-dwelling organisms and test the resilience of the reef ecosystem. Several new species .... The Devonian Gogo Fauna: Diversity, Palaeoecology and Global Significance. The late Devonian Gogo Formation (380 million years old) is undoubtedly one of the richest and best-preserved assemblages of fossil fishes and invertebrates from this age anywhere on Earth. This project will use CT scanning for stomach contents, plus use biomechanical and morphometric analyses to reconstruct tropic relationships of reef-dwelling organisms and test the resilience of the reef ecosystem. Several new species will be published and the heritage significance of the site will be assessed. Working with local indigenous stakeholders, the scientific findings will feed into developing a long-term management plan to protect and conserve the site for future research work and to grow tourism in the region.Read moreRead less