Spatial Cognition—Expressive Representation Formalisms and Effective Reasoning Mechanisms. The project will contribute significantly to the advancement of knowledge in breakthrough science in qualitative spatial reasoning and smart information use in geographic information systems. Expressive spatial languages are important in organising spatial knowledge, defining spatial query languages and guiding spatial data mining. Effective spatial reasoning mechanisms bring theory closer to applications ....Spatial Cognition—Expressive Representation Formalisms and Effective Reasoning Mechanisms. The project will contribute significantly to the advancement of knowledge in breakthrough science in qualitative spatial reasoning and smart information use in geographic information systems. Expressive spatial languages are important in organising spatial knowledge, defining spatial query languages and guiding spatial data mining. Effective spatial reasoning mechanisms bring theory closer to applications including consistency checking and spatial query pre-processing. The project will help in extracting knowledge from massive spatial databases, meeting the growing needs of naive users for spatial information and establishing Australia as a major player in spatial cognition research and in the development of geo-location services.Read moreRead less
Engineering Artificial Intelligence: A Spatial Representation and Reasoning Perspective. Spatial information is important in areas of national interest such as mining and exploration, environmental monitoring and planning, emergency response, and defence. Mission control centres, for instance, receive different forms of spatial data from satellites, radar, or people on the ground. They have to process the input data and make intelligent decisions in a very limited time. Intelligent systems that ....Engineering Artificial Intelligence: A Spatial Representation and Reasoning Perspective. Spatial information is important in areas of national interest such as mining and exploration, environmental monitoring and planning, emergency response, and defence. Mission control centres, for instance, receive different forms of spatial data from satellites, radar, or people on the ground. They have to process the input data and make intelligent decisions in a very limited time. Intelligent systems that are able to assist with processing different forms of spatial data efficiently and that offer reliable decision support are essential for improving the quality and reliability of such applications. This research enables future intelligent systems with these capabilities. This will directly benefit applications in areas of national interest.Read moreRead less
Integrated Farm Modelling to Improve Resilience and Sustainable Prosperity. This project aims to improve farm resilience, farm management, and economic decision-making in Australia and internationally. It expects to generate new interdisciplinary knowledge to integrate our understanding of agro-ecosystems and innovative tools to assess their status and manage their operations more effectively. Expected outcomes include the ability to inform farmers, bankers, and land managers about the trade-off ....Integrated Farm Modelling to Improve Resilience and Sustainable Prosperity. This project aims to improve farm resilience, farm management, and economic decision-making in Australia and internationally. It expects to generate new interdisciplinary knowledge to integrate our understanding of agro-ecosystems and innovative tools to assess their status and manage their operations more effectively. Expected outcomes include the ability to inform farmers, bankers, and land managers about the trade-offs between resilience and efficiency on farms. This should provide significant benefits, including the ability to minimize financial risks to farmers and banks, allow better investment decisions, and achieve sustainable long-term outcomes for both private and public well-being.Read moreRead less
Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct b ....Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct bioregions and characterise species’ environmental responses, they should significantly enhance evaluations of the impact of human activity and environmental change on coral diversity. Ultimately, these evaluations can underpin future decisions in the conservation and management of the Great Barrier Reef.Read moreRead less
Life Expectancy among Disease-Diagnosed. This project aims to improve methodological tools for calculating life expectancy for populations with mental or physical disorders in Australia as well as to determine gains and losses in terms of excess mortality. To achieve this goal innovative measures, which solve methodological previous shortcoming regarding different age at diagnosis will be applied. The expected outcomes of the project include precise figures of excess mortality related to mental ....Life Expectancy among Disease-Diagnosed. This project aims to improve methodological tools for calculating life expectancy for populations with mental or physical disorders in Australia as well as to determine gains and losses in terms of excess mortality. To achieve this goal innovative measures, which solve methodological previous shortcoming regarding different age at diagnosis will be applied. The expected outcomes of the project include precise figures of excess mortality related to mental and physical disorders. Significant benefits for future public policy-making will be gained by analysing excess mortality among individuals diagnosed mental or physical disorders, and cross-country comparisons using national linkage data. Read moreRead less
Understanding The Connections Between Aboriginal And Torres Strait Islander Culture, Health And Wellbeing To Support Action To Improve Outcomes
Funder
National Health and Medical Research Council
Funding Amount
$1,915,802.00
Summary
Little is known about the inter-relationship of cultural factors and Aboriginal and Torres Strait Islander health outcomes and these relationships have not been quantified. Through a large cohort study, this research will produce data that combines standard health measures with newly developed quantitative measures of cultural factors, supported by data linkage infrastructure. Robust analytical methods will be used to inform policy and program development.
Assessment Of Interventions For Controlling Pandemic Influenza And Determining Data Needs To Inform These Assessments
Funder
National Health and Medical Research Council
Funding Amount
$183,040.00
Summary
The aim of this study is to help us prepare for a pandemic of influenza by comparing how effective the various available control strategies are at reducing transmission of the disease. The available control interventions include: reducing the number of close contacts we make with others, isolating cases after they are diagnosed, closing schools, quarantining households, quarantining individuals who are known to have been exposed to a case, and using antiviral drugs treat and protect people at ri ....The aim of this study is to help us prepare for a pandemic of influenza by comparing how effective the various available control strategies are at reducing transmission of the disease. The available control interventions include: reducing the number of close contacts we make with others, isolating cases after they are diagnosed, closing schools, quarantining households, quarantining individuals who are known to have been exposed to a case, and using antiviral drugs treat and protect people at risk of being infected. We will compare these control measures by taking due account of the ability and resources available for these interventions, and with regard to the need to maintain essential services. The comparisons will be made using mathematical models that describe the transmission of the infection. All available data and advice from experts will be used to ensure that realistic models are used for the comparisons. We will also use the models to determine the best use of the limited antiviral drugs available, until a vaccine becomes available. We will consider how the control strategy should be changed if a strain develops that is resistant to the antiviral drugs. In addition, we will determine what data need to be collected during the early stages of a pandemic to help us to determine the best use of the antiviral drugs, the best use of a new vaccine and to check on the development of resistance to the antiviral drugs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100077
Funder
Australian Research Council
Funding Amount
$441,935.00
Summary
A geospatial toolkit to assess community risk to environmental change. This project seeks to strengthen our understanding of the role of environmental change in driving patterns of community risk, by building a spatially and temporally explicit model, and a risk index that will be designed with input from decision makers. This project expects to improve the implementation of geospatial tools for risk assessment using an innovative approach based on evidence and practice. Expected outcomes includ ....A geospatial toolkit to assess community risk to environmental change. This project seeks to strengthen our understanding of the role of environmental change in driving patterns of community risk, by building a spatially and temporally explicit model, and a risk index that will be designed with input from decision makers. This project expects to improve the implementation of geospatial tools for risk assessment using an innovative approach based on evidence and practice. Expected outcomes include increased and optimal implementation of geospatial data in Australian systems, and enhanced research capacity to proactively respond to environmental change.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100040
Funder
Australian Research Council
Funding Amount
$450,000.00
Summary
Integrated Greenhouse Gas Measurement System (IGMS) for monitoring agricultural emissions at field to regional scales. Measurement of greenhouse gases is critical to Australia’s obligations to reduce carbon emissions. The measurement facility will provide urgently needed accurate emission data from Australian agriculture to establish emission baselines and develop methods to extend the point-scale measurements to whole farm, regional and national scales.
Understanding The Impact Of Social, Economic And Geographic Disadvantage On The Health Of Australians In Mid - Later Lif
Funder
National Health and Medical Research Council
Funding Amount
$1,943,571.00
Summary
This research will examine the ways in which social, economic and environmental factors contribute to the health of Australians in mid to later life. It will help identify ways in which policy and preventive programs can contribute to improving health in mid to later life particularly among disadvantaged Australians. We will explore in detail social, economic and environmental factors in 100,000 people aged 45 and over; this will be the largest study of its kind ever undertaken in Australia. We ....This research will examine the ways in which social, economic and environmental factors contribute to the health of Australians in mid to later life. It will help identify ways in which policy and preventive programs can contribute to improving health in mid to later life particularly among disadvantaged Australians. We will explore in detail social, economic and environmental factors in 100,000 people aged 45 and over; this will be the largest study of its kind ever undertaken in Australia. We will examine the relationship between these social, economic factors, and lifestyle factors such as smoking, physical activity, environmental and obesity. This will enable us to identify where programs and policies should be directed to most rapidly improve the health of disadvantaged Australians.Read moreRead less