Accounting for Sustainability: Developing an Integrated Approach for Sustainability Assessments. In today's challenging world, we need to find new ways to sustain our cities, communities and organisations. In the past decade, various bodies have developed highly sophisticated indicators for monitoring and measuring sustainability. However these indicators often become detached from practical tasks at hand - managing businesses, preserving the environment, or promoting social and cultural well-be ....Accounting for Sustainability: Developing an Integrated Approach for Sustainability Assessments. In today's challenging world, we need to find new ways to sustain our cities, communities and organisations. In the past decade, various bodies have developed highly sophisticated indicators for monitoring and measuring sustainability. However these indicators often become detached from practical tasks at hand - managing businesses, preserving the environment, or promoting social and cultural well-being. This project will develop a framework and software system for evaluating and applying indicators in common planning and reporting situations. The project will benefit Australian organisations by a) developing clear, practical sustainability goals; b) lowering cost of reporting compliance and c) improving sustainability practices.Read moreRead less
Growing Sustainable Regions: Developing a Rural Statistical Sustainability Framework. Given the challenges facing rural and regional Australia, it is essential that communities and decision-makers have the information and resources to make informed and sustainable decisions. While there is a plethora of data that can provide this evidence-base, it is often complex, disorganised and inaccessible to those who need it. Hence, to facilitate smart information use, this research develops and implement ....Growing Sustainable Regions: Developing a Rural Statistical Sustainability Framework. Given the challenges facing rural and regional Australia, it is essential that communities and decision-makers have the information and resources to make informed and sustainable decisions. While there is a plethora of data that can provide this evidence-base, it is often complex, disorganised and inaccessible to those who need it. Hence, to facilitate smart information use, this research develops and implements a Rural Statistical Sustainability Framework and decision support modelling tool that integrates environmental, economic and social data into a single user-friendly source. This will provide a platform for evidence-based decision-making that will lead to a sustainable future for rural and regional Australia.Read moreRead less
Methodology for assessing the vulnerability of multimodal transport networks and developing remedial measures to safeguard network performance. When transport networks fail, the effects on people and the economy can be devastating. The consequences for Hobart of the 1975 Tasman Bridge collapse provide a prime example. Failure may also result from extreme weather and natural disasters, traffic congestion and incidents, commercial failure, human error, or malevolence (such as sabotage). This proje ....Methodology for assessing the vulnerability of multimodal transport networks and developing remedial measures to safeguard network performance. When transport networks fail, the effects on people and the economy can be devastating. The consequences for Hobart of the 1975 Tasman Bridge collapse provide a prime example. Failure may also result from extreme weather and natural disasters, traffic congestion and incidents, commercial failure, human error, or malevolence (such as sabotage). This project will develop a methodology for auditing a transport network to identify where infrastructure failure will have the worst consequences for movement of people and goods. The research will provide tools for planners to determine critical network locations, and devise strategies and remedial measures to safeguard network performance.Read moreRead less
The mathematics and language of engineering uncertainty, preference and utility. Australian engineering firms are principals in many high-profile projects. To defend their position, they must demonstrate both sound engineering and quality processes, which by international standards includes the traceability of decisions. Yet, there are few tools to vet the multitude of decisions that go into large-scale engineering works. This project aims to form mathematical models of decision-making based on ....The mathematics and language of engineering uncertainty, preference and utility. Australian engineering firms are principals in many high-profile projects. To defend their position, they must demonstrate both sound engineering and quality processes, which by international standards includes the traceability of decisions. Yet, there are few tools to vet the multitude of decisions that go into large-scale engineering works. This project aims to form mathematical models of decision-making based on the language modelling of what is written in engineering documentation about the bases of decisions. The new methods will help decision makers to pinpoint irrationalities in decisions and notify them of possible errors. The research can therefore be applied to important problems in the engineering sector such as risk management.Read moreRead less
Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are a ....Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are at high risk of incurring debt and defaulting on paying taxes. In turn, the early identification of clients in financial distress will allow the ATO to give them assistance so that they can reduce their debts and meet their financial obligations.Read moreRead less
The Impact of Strategy on Business Analytics Success. The successful implementation of business analytics systems will enhance the ability of Australian organisations to operate and compete efficiently and effectively within Australia and globally. By understanding the capabilities that lead to improved firm performance and their relationship to strategy, organisations can use the theoretical model to plan for business analytics systems implementation. The model is an original contribution in an ....The Impact of Strategy on Business Analytics Success. The successful implementation of business analytics systems will enhance the ability of Australian organisations to operate and compete efficiently and effectively within Australia and globally. By understanding the capabilities that lead to improved firm performance and their relationship to strategy, organisations can use the theoretical model to plan for business analytics systems implementation. The model is an original contribution in an important area of information systems research and will enhance Australia's reputation as a leader in the area of organizational use of information systems.Read moreRead less
An knowledge-based approach to multi-document text summarisation for automated meta-analysis of the scientific literature. The biomedical sciences produce literature at an exponential rate, and the size of this knowledge base far exceeds the capacity of humans to keep up with the growth in new knowledge. This project will develop computational text summarisation methods to abstract the content of scientific journal articles reporting clinical trials, and develop multi-document summarisation meth ....An knowledge-based approach to multi-document text summarisation for automated meta-analysis of the scientific literature. The biomedical sciences produce literature at an exponential rate, and the size of this knowledge base far exceeds the capacity of humans to keep up with the growth in new knowledge. This project will develop computational text summarisation methods to abstract the content of scientific journal articles reporting clinical trials, and develop multi-document summarisation methods to synthesise these abstracts using automated statistical meta-analysis methods. These methods have broad potential to improve text-summarisation technologies in general, to profoundly enhance our ability to integrate published knowledge, and to make a highly significant and specific contribution to improving the quality of evidence used in health decision-making. Read moreRead less
A Marine Cadastre for Australia - Addressing Key Scientific and Policy Issues. A marine cadastre provides a means for delineating, managing and administering legally definable offshore boundaries. Marine cadastre research was initiated in Australia under a previous ARC grant which aimed at defining issues affecting the development of an Australian marine cadastre. The current project focuses on four such issues :
(1) Resolving ambiguities in the definition of the tidal interface
(2) Issues ....A Marine Cadastre for Australia - Addressing Key Scientific and Policy Issues. A marine cadastre provides a means for delineating, managing and administering legally definable offshore boundaries. Marine cadastre research was initiated in Australia under a previous ARC grant which aimed at defining issues affecting the development of an Australian marine cadastre. The current project focuses on four such issues :
(1) Resolving ambiguities in the definition of the tidal interface
(2) Issues in the use of natural rather than geometric boundaries to define jurisdictional limits
(3) Expanding the Australian Spatial Data Infrastructure to support a marine cadastre
(4) Legal and security issues intrinsic to the development of a marine cadastre.Read moreRead less
Defence and Security Risk Assessment using Agent Based Distillations. Today's society continues to be occupied with the idea of risk. The recent events of September 11th, the Bali bombing, SARS, the bush fires in Canberra, and the Tsunami are examples of human-made and natural disasters. These events had dramatic consequences on the social, economic, and political environment and numerous industries. This project offers an innovative methodological paradigm for assessing risk through the transfe ....Defence and Security Risk Assessment using Agent Based Distillations. Today's society continues to be occupied with the idea of risk. The recent events of September 11th, the Bali bombing, SARS, the bush fires in Canberra, and the Tsunami are examples of human-made and natural disasters. These events had dramatic consequences on the social, economic, and political environment and numerous industries. This project offers an innovative methodological paradigm for assessing risk through the transfer of technologies drawn from defence simulations to the safety and security areas. The success of this project will mark a paradigm shift in the area of risk assessment and management.Read moreRead less
Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical a ....Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical and real-time physiological data. This project will develop a methodology and technology that supports neonatal analysis incorporating a framework to mine data for trend detection, resulting in higher survival rates.Read moreRead less