Predicting Renal, Ophthalmic And Heart Events In The Aboriginal Community: The PROPHECY Diabetes Multi-Omics Cohort Study
Funder
National Health and Medical Research Council
Funding Amount
$3,955,505.00
Summary
Diabetes is at epidemic levels in Indigenous Australians, impairing quality of life, and contributing to poor health. This is a result of rapid development of kidney, heart and eye complications. We have established a large long-term population study among Aboriginal communities within South Australia and will explore the burden, natural history and the social, psychological, environmental, clinical and genomic predictors of diabetes and its complications.
Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical b ....Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical books. Libraries and legal, social and data science researchers will investigate eBook lending practices and understand their social impacts. The project will identify ways of reforming policy, law, and practice to help libraries fulfil their public interest missions. This project is expected to enable libraries to extract more value from existing public investments.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100156
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Computational infrastructure for machine learning in computer vision. The many trillions of images stored on computers around the world, including more than 100 billion on Facebook alone, represent exactly the information needed to develop artificial vision. All we need do is extract it. This project will develop the computational infrastructure required to allow Australian researchers to achieve this goal.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less
ARC/NHMRC Research Network in Ageing Well. The ARC Research Network on Ageing Well will support interdisciplinary, high quality research in the National Research Priority Goal of Ageing Well, Ageing Productively. It will build scale and focus on Australia's notable research strengths in ageing, promote collaborative research, and extend research capacities. The Network will link outstanding researchers from many disciplines, nurture developing researchers, relate social to health researchers, s ....ARC/NHMRC Research Network in Ageing Well. The ARC Research Network on Ageing Well will support interdisciplinary, high quality research in the National Research Priority Goal of Ageing Well, Ageing Productively. It will build scale and focus on Australia's notable research strengths in ageing, promote collaborative research, and extend research capacities. The Network will link outstanding researchers from many disciplines, nurture developing researchers, relate social to health researchers, strengthen international collaboration, and involve and inform end-point users. It will foster research which responds to the aspirations and needs of older Australians and informs action that can improve experiences of individual and population ageing.Read moreRead less
The Macroderma initiative: conserving ghost bats and informing development. This project aims to improve methods for capturing biological information required for environmental assessments of highly mobile species and enable strategic environmental planning in Northern Australia. Using Australia’s iconic ghost bat as a focus, the project will test and apply emerging technologies to obtain key information on a species’ population status and its critical resources to inform assessments of ecologic ....The Macroderma initiative: conserving ghost bats and informing development. This project aims to improve methods for capturing biological information required for environmental assessments of highly mobile species and enable strategic environmental planning in Northern Australia. Using Australia’s iconic ghost bat as a focus, the project will test and apply emerging technologies to obtain key information on a species’ population status and its critical resources to inform assessments of ecological impacts of industry development. Important benefits of the project include information and tools for streamlining development approvals and accurately assessing risks to threatened species to improve outcomes for both our economy and our natural environment.Read moreRead less
Genomes on islands: Improving management of Australia's threatened mammals. This project aims to improve the management of endangered mammals by combining data on genomic and morphological variation with results from conservation translocations. Using new genomics methods, the project will measure the effects of small population size on genetic diversity and mutation load, in extinct as well as remnant and translocated populations. The project will monitor seven intensively managed marsupial spe ....Genomes on islands: Improving management of Australia's threatened mammals. This project aims to improve the management of endangered mammals by combining data on genomic and morphological variation with results from conservation translocations. Using new genomics methods, the project will measure the effects of small population size on genetic diversity and mutation load, in extinct as well as remnant and translocated populations. The project will monitor seven intensively managed marsupial species to better understand how to mix populations for fauna restoration projects. This project should improve methods to promote species recovery in Australia and globally.Read moreRead less
Linking for Life: Enhancing pathways to well-being for all Australians. The Linking for Life Project will identify pathways to wellbeing and better social outcomes across the life-course for high-risk/vulnerable individuals and their families to streamline service provision, improve outcomes and identify cost-efficiencies across government agencies. The work will expand cross-sectoral data linkage capability, enhancing research capacity to generate evidence-based policy to improve integrated ser ....Linking for Life: Enhancing pathways to well-being for all Australians. The Linking for Life Project will identify pathways to wellbeing and better social outcomes across the life-course for high-risk/vulnerable individuals and their families to streamline service provision, improve outcomes and identify cost-efficiencies across government agencies. The work will expand cross-sectoral data linkage capability, enhancing research capacity to generate evidence-based policy to improve integrated service delivery across government. The project will also trial innovative data linkage models including the creation of data repositories to improve efficiency for data provision and access, which will have application nationally and enable more timely access to whole-population linked cross-sector data.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC210100019
Funder
Australian Research Council
Funding Amount
$4,583,816.00
Summary
ARC Training Centre for Optimal Ageing. The ARC Training Centre for Optimal Ageing aims to address issues identified by older adults as essential for quality of life. With our industry partners, we aim to train the next generation of researchers to understand, detect and improve psychosocial factors that support mental activity, physical health and social connectedness, and embrace advances in artificial intelligence, digital-enriched environments and adaptive workplaces to deliver effective dig ....ARC Training Centre for Optimal Ageing. The ARC Training Centre for Optimal Ageing aims to address issues identified by older adults as essential for quality of life. With our industry partners, we aim to train the next generation of researchers to understand, detect and improve psychosocial factors that support mental activity, physical health and social connectedness, and embrace advances in artificial intelligence, digital-enriched environments and adaptive workplaces to deliver effective digital solutions. By developing new capacity and capability to drive the digital transformation of industries supporting our ageing population, our Centre seeks to deliver economic and social benefits that enable Australians to live enriched, healthy and independent lives as they age.Read moreRead less