Innovative Health Programs To Reduce Inequality In Heart Disease
Funder
National Health and Medical Research Council
Funding Amount
$876,005.00
Summary
As part of his Senior NHMRC Fellowship, Prof Simon Stewart, a world-renowned health services researcher, will lead an internationally linked team of researchers from a broad range of health disciplines to undertake a program of research designed to improve the lives of those most vulnerable to heart disease and poor health outcomes. His program of research will focus on Indigenous Australians, patients with complex forms of heart disease and urban African communities in economic transition.
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.
Adaptation to life in the dark: genomic analyses of blind beetles. This project aims to utilise a unique Australian model system based on multiple, independently-evolved subterranean water beetles to explore the adaptive and regressive changes in the genome that occur when surface species colonise subterranean habitats. This project focuses on the evolution of Heat Shock protein (Hsp) genes that play critical roles in adaptation to environmental stress and the process of de-canalisation, the rel ....Adaptation to life in the dark: genomic analyses of blind beetles. This project aims to utilise a unique Australian model system based on multiple, independently-evolved subterranean water beetles to explore the adaptive and regressive changes in the genome that occur when surface species colonise subterranean habitats. This project focuses on the evolution of Heat Shock protein (Hsp) genes that play critical roles in adaptation to environmental stress and the process of de-canalisation, the release of cryptic genetic variation that can allow novel morphologies to evolve in new environments. The project expects to provide further understanding of how species may potentially adapt to environmental stresses in the future, including climate change.Read moreRead less
Is regressive evolution associated with loss of gene function in subterranean animals? This project aims to investigate a fundamental biological process: the evolutionary basis for how non-functional characters, such as eyes in subterranean animals, are lost. It will use a unique model system based on eyeless water beetles, and utilise novel new genomic tools to test whether loss of characters results from gene inactivation.
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.
Nonlinear spatial and spatiotemporal econometrics: theory with applications. Modern societies like Australia have major challenges in the forecasting, measuring and managing of risks associated with global economic and environmental/climate changes. These tasks require advanced econometric techniques in modelling and forecasting of complex nonlinear spatiotemporal variability in economic and social systems. This project will develop frontier econometric technologies that enable more accurate eco ....Nonlinear spatial and spatiotemporal econometrics: theory with applications. Modern societies like Australia have major challenges in the forecasting, measuring and managing of risks associated with global economic and environmental/climate changes. These tasks require advanced econometric techniques in modelling and forecasting of complex nonlinear spatiotemporal variability in economic and social systems. This project will develop frontier econometric technologies that enable more accurate economic and climate forecasts. The tools produced will provide Australia's scientists and policy-makers with a greater capacity to manage the risks associated with these challenges. A side-benefit of the research will be high-quality publications that enhance the nation's reputation in this cutting edge research.Read moreRead less
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
Australian Heritage: constructing the first Aboriginal reference genome. This project aims to use DNA sequencing technologies to generate the first complete and accurate Aboriginal genomes, along with maps of genomic variation around Australia. It will combine a range of advanced analytical methods to integrate past and present indigenous genetic diversity from human populations around the world into a new pan-human reference genome. This project will lead to a step change in our understanding o ....Australian Heritage: constructing the first Aboriginal reference genome. This project aims to use DNA sequencing technologies to generate the first complete and accurate Aboriginal genomes, along with maps of genomic variation around Australia. It will combine a range of advanced analytical methods to integrate past and present indigenous genetic diversity from human populations around the world into a new pan-human reference genome. This project will lead to a step change in our understanding of global human genomic variants and provide a range of new targets relevant to medical biology, while significantly improving our knowledge of human genetic history and its consequences in the modern day.Read moreRead less