Statistical methods for quantifying variation in spatiotemporal areal data. This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable mode ....Statistical methods for quantifying variation in spatiotemporal areal data. This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable modelled small-area estimates to be released without compromising confidentiality. The expected outcomes include new statistical knowledge and new insights into cancer. The results will benefit the many disciplines, managers and policy makers that make decisions based on geographic data mapped over space and time. Read moreRead less
Bayesian methodology for analysis of genome data with focus on the livestock industry. The aim is to develop statistical methods for the design and analysis of genome data with focus on the special needs of the livestock industry. This will significantly contribute to profitability, quality, genetic improvement and genetic knowledge in a key national industry, improve Australia's international and national profile in the key research area of bioinformatics, and encourage optimisation of current ....Bayesian methodology for analysis of genome data with focus on the livestock industry. The aim is to develop statistical methods for the design and analysis of genome data with focus on the special needs of the livestock industry. This will significantly contribute to profitability, quality, genetic improvement and genetic knowledge in a key national industry, improve Australia's international and national profile in the key research area of bioinformatics, and encourage optimisation of current information. Outcomes include a toolkit of applicable statistical methods, statistically valid algorithms, marketable methods for gene discovery, technology transfer, training and publications.Read moreRead less
Bayesian statistical methods for enhancing evidence-based practice in Australia's hospitals. This project addresses Australia's national research priority of Promoting and Maintaining Good Health with the goal of Preventative Healthcare. Through enhanced capability in combining information from diverse sources for improved evidence-based decisions and true sharing of university and medical expertise, the project will enhance Australia's medical research and practice, align professional and comm ....Bayesian statistical methods for enhancing evidence-based practice in Australia's hospitals. This project addresses Australia's national research priority of Promoting and Maintaining Good Health with the goal of Preventative Healthcare. Through enhanced capability in combining information from diverse sources for improved evidence-based decisions and true sharing of university and medical expertise, the project will enhance Australia's medical research and practice, align professional and community expectations, utilise local medical information, and address national demands for quality science underpinning health decisions.
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Making the Most of Database Information in Patient-Based Decision-Making - A Bayesian Approach. This project addresses Australia's national research priority of Promoting and Maintaining Good Health and will lead to immediate improvement in health outcomes through optimising patient outcomes in Australian hospitals; cross-disciplinary and cross-hospital communication. Through enhanced capability in combining information from diverse sources the project will enhance Australia's medical research a ....Making the Most of Database Information in Patient-Based Decision-Making - A Bayesian Approach. This project addresses Australia's national research priority of Promoting and Maintaining Good Health and will lead to immediate improvement in health outcomes through optimising patient outcomes in Australian hospitals; cross-disciplinary and cross-hospital communication. Through enhanced capability in combining information from diverse sources the project will enhance Australia's medical research and practice, align professional and community expectations, utilise increased amounts of local medical information, and address national demands for quality science underpinning health decisions.Read moreRead less
Innovative Bayesian statistics for enhanced decision making for pharmaceutical drug development. This project addresses Australia's national research priority of Promoting and Maintaining Good Health, and will lead to improvements in health outcomes by patients accessing new drugs sooner, enhancing research, and reducing the cost of health care. Decision making in early stages of drug development will be improved by using novel statistical methods, which could also be applied in a variety of sit ....Innovative Bayesian statistics for enhanced decision making for pharmaceutical drug development. This project addresses Australia's national research priority of Promoting and Maintaining Good Health, and will lead to improvements in health outcomes by patients accessing new drugs sooner, enhancing research, and reducing the cost of health care. Decision making in early stages of drug development will be improved by using novel statistical methods, which could also be applied in a variety of situations involving decision making procedures. This will be achieved through cross-disciplinary and university-industry collaboration, utilising Australian and international expertise. National demands for quality science and trained researchers underpinning health decisions will be contributed to.Read moreRead less
Design of a Reference Methodology for Extended Enterprise Architecture. Enterprises have nowadays a very critical perception of the actual benefits of Information Technology (IT). Significant investments in IT infrastructures have been made. However, in many cases no monetary benefits could be demonstrated. Enterprises Architectures provide a way to link the business and the IT perspective. This project aims to develop an operational methodology with a solid theoretical foundation for the design ....Design of a Reference Methodology for Extended Enterprise Architecture. Enterprises have nowadays a very critical perception of the actual benefits of Information Technology (IT). Significant investments in IT infrastructures have been made. However, in many cases no monetary benefits could be demonstrated. Enterprises Architectures provide a way to link the business and the IT perspective. This project aims to develop an operational methodology with a solid theoretical foundation for the design of such Enterprise Architectures. The outcomes and the innovation of this project are an extension of the popular Zachman Framework. Integrated modelling techniques proposed within the Architecture of Integrated Information Systems will be used to populate this framework.Read moreRead less
The importance of price and perceived quality to the demand for fresh fruits and vegetables. It is estimated that the direct and indirect cost of diet-related diseases to Australia is between $2-3 billion per annum. One of the most important things that can be done to prevent diet-related disease is to encourage the population to eat more fruits and vegetables. The aim of this project is to examine the effect of price and perceived quality on the type and quantity of fruits and vegetables cons ....The importance of price and perceived quality to the demand for fresh fruits and vegetables. It is estimated that the direct and indirect cost of diet-related diseases to Australia is between $2-3 billion per annum. One of the most important things that can be done to prevent diet-related disease is to encourage the population to eat more fruits and vegetables. The aim of this project is to examine the effect of price and perceived quality on the type and quantity of fruits and vegetables consumed, especially among low-income households. The project will employ modelling techniques that are novel to this product group and that will provide valuable insights to the constraints and opportunities for increasing fruits and vegetables intake, as well as benchmarks for future research.Read moreRead less
Assessment of the Seismic Hazard in South-East Queensland utilizing earthquake simulations. Assessment of seismic hazard in Australia is hampered by relatively few instrumental records of past earthquakes. Supercomputer simulations of long-term earthquake activity and strong ground motion, provide an alternative method for estimating the risk posed by earthquakes. The aim of this project is to construct a physical model for South-East Queensland incorporating the major faults and rock units of ....Assessment of the Seismic Hazard in South-East Queensland utilizing earthquake simulations. Assessment of seismic hazard in Australia is hampered by relatively few instrumental records of past earthquakes. Supercomputer simulations of long-term earthquake activity and strong ground motion, provide an alternative method for estimating the risk posed by earthquakes. The aim of this project is to construct a physical model for South-East Queensland incorporating the major faults and rock units of the region. In conjunction with earthquake simulation software of the Australian Computational Earth Systems Simulator, this model will be employed to analyse the spatial and temporal variability of earthquake activity and the ground motion resulting from these earthquakes.Read moreRead less
Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant be ....Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant benefits such as the development of new econometric theory, advanced computational methods and evidence-based guidelines for policymakers.Read moreRead less
Coding Error Isolation in Computerised Simulation Models with Application to Wastewater Treatment Systems. Simulation code verification through program testing and debugging is crucially important, but is tedious and often difficult. A novel approach will be studied in this project. The approach involves detecting coding errors through back-to-back testing using two independently implemented versions of a given mathematical model, and isolating the coding errors through systematically analysing ....Coding Error Isolation in Computerised Simulation Models with Application to Wastewater Treatment Systems. Simulation code verification through program testing and debugging is crucially important, but is tedious and often difficult. A novel approach will be studied in this project. The approach involves detecting coding errors through back-to-back testing using two independently implemented versions of a given mathematical model, and isolating the coding errors through systematically analysing the test error signal generated (the difference between the outputs of the two models). This is possible because one of the two versions is implemented in such a way that the test error carries an easily identifiable feature. This project could revolutionize the area of model verification.Read moreRead less