Advanced matrix-analytic methods with applications. Over the last twenty-five years, matrix-analytic methods have proved to be very successful in formulating and analysing certain classes of stochastic models. Motivated by applications, this project will investigate more advanced matrix-analytic methods than have hitherto been studied.
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
Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encodi ....Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encoding and retrieval processes, the model can assess how changes in different sources of interference modulate performance through the trajectory of early development. Hierarchical Bayesian estimation aims to enable a simultaneous account of multiple tasks and support future deployment in applied contexts.Read moreRead less
Identification Of Glaucoma Susceptibility Variants By Exome Sequencing In Extended Pedigrees Showing Prior Evidence Of Gene Segregation.
Funder
National Health and Medical Research Council
Funding Amount
$694,002.00
Summary
Primary open angle glaucoma is a chronic eye disease and one of the leading causes of visual impairment and blindness worldwide. This study will use cutting-edge genetic methods to look at the entire coding component of the human genome (exome) in 271 individuals from large glaucoma families. Our previous studies have shown that these families carry genetic variants that increase disease risk. In this investigation we aim to identify these genes, with the hope they may offer novel targets for tr ....Primary open angle glaucoma is a chronic eye disease and one of the leading causes of visual impairment and blindness worldwide. This study will use cutting-edge genetic methods to look at the entire coding component of the human genome (exome) in 271 individuals from large glaucoma families. Our previous studies have shown that these families carry genetic variants that increase disease risk. In this investigation we aim to identify these genes, with the hope they may offer novel targets for treatment or diagnosis.Read moreRead less
Advanced micro analysis systems for environmental monitoring. Understanding of the behaviour of the nutrients controlling nuisance algae in water bodies is currently limited by the cost and logistics of collecting and analysing the large numbers of samples required.
This proposal describes the development and evaluation of portable multiparameter micro analysis systems that will be capable of high frequency measurements from a sampling vessel. This will enable environmental agencies to perfo ....Advanced micro analysis systems for environmental monitoring. Understanding of the behaviour of the nutrients controlling nuisance algae in water bodies is currently limited by the cost and logistics of collecting and analysing the large numbers of samples required.
This proposal describes the development and evaluation of portable multiparameter micro analysis systems that will be capable of high frequency measurements from a sampling vessel. This will enable environmental agencies to perform rapid on-site mapping of nutrients and other water quality parameters in large water bodies, intensive scale mapping of effluent mixing and dispersal zones, quick assessment of the impact of dredging and aquaculture, and compliance monitoring in effluent streams.
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ARC Molecular and Materials Structure Research Network. The Network will build powerful e-Science resources for the structural sciences. Collaborative remote access will be developed for sophisticated instrumentation, including instruments planned for the Replacement Research Reactor and Australian Synchrotron. A structure database service with cross disciplinary content and versatile visualisation and analysis capabilities will further exemplify smart information use. The internet services will ....ARC Molecular and Materials Structure Research Network. The Network will build powerful e-Science resources for the structural sciences. Collaborative remote access will be developed for sophisticated instrumentation, including instruments planned for the Replacement Research Reactor and Australian Synchrotron. A structure database service with cross disciplinary content and versatile visualisation and analysis capabilities will further exemplify smart information use. The internet services will ultimately harness the Grid, enabling linkage into other national and international Grid systems. Encompassing physics, computer science, applied mathematics, chemistry and biochemistry, and catalysing interaction across these disciplines, the MMSN will impact all five National Research Priority 3 goals.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH120100021
Funder
Australian Research Council
Funding Amount
$2,500,000.00
Summary
Pathways to market: transforming food industry futures through improved sensing, provenance and choice. Pathways to market: transforming food industry futures through improved sensing, provenance and choice. This Research Hub aims to transform the Australian food industry by demonstrating how new knowledge on food production and consumption generated through novel sensing technologies and advanced modelling techniques can be implemented in smart applications to power competitiveness, sustainabil ....Pathways to market: transforming food industry futures through improved sensing, provenance and choice. Pathways to market: transforming food industry futures through improved sensing, provenance and choice. This Research Hub aims to transform the Australian food industry by demonstrating how new knowledge on food production and consumption generated through novel sensing technologies and advanced modelling techniques can be implemented in smart applications to power competitiveness, sustainability and innovation in food value chains.Read moreRead less
Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation wate ....Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation water delivery models to calibrate for spatial variation in soil properties and/or correct errors in spatial variation of rainfall and evapotranspiration inputs. Ultimately the water balance predictions will be used for implementation of variable rate irrigation control at scales hitherto unattainable.Read moreRead less
Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time ....Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time, and confidence, suitable for application to computerized testing scenarios. The models and testing methods validated in the laboratory will be refined for application in eyewitness memory settings, facilitating better evaluation of identification evidence, and potentially reducing wrongful convictions.Read moreRead less
Mapping the effect of social enterprise on regional city disadvantage. This project aims to explore how social enterprises affect wellbeing and community capacity in disadvantaged areas of regional cities. Governments increasingly invest in social enterprise to benefit individuals and places. This project will use a spatial methodology to map where and how benefits are realised. To date, robust evidence about how social enterprise affects disadvantage is lacking, partly due to inadequate researc ....Mapping the effect of social enterprise on regional city disadvantage. This project aims to explore how social enterprises affect wellbeing and community capacity in disadvantaged areas of regional cities. Governments increasingly invest in social enterprise to benefit individuals and places. This project will use a spatial methodology to map where and how benefits are realised. To date, robust evidence about how social enterprise affects disadvantage is lacking, partly due to inadequate research methodology. This project expects to provide web-based design tools and applications to assist regional city communities and councils in the development of social enterprises that can help disadvantaged people and places.Read moreRead less