Improving Global Tuberculosis Control With The AuTuMN Platform
Funder
National Health and Medical Research Council
Funding Amount
$655,059.00
Summary
Tuberculosis (TB) is the world’s leading infectious killer, with the failure of global control responsible for the vast majority of Australia’s cases. Using our robustly developed software platform, we have performed several country-level studies to predict the future burden of disease and compare the impact of alternative responses to controlling the epidemic. In this project, we will extend our platform to perform simulations at the global level and answer key questions in TB control.
Preterm birth is a major cause of neonatal death and cerebral palsy. This grant will provide proof-of-concept that a computer program can be developed to predict a pregnant woman�s risk of preterm birth. There is a large market (4M US and 8M Europe), there are no competing technologies. This is a unique collaboration between Biomedical Engineering and an Australian centre with an international reputation in preterm birth, assisted by a pathology company.
A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driv ....A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driving models. The project will lead to two innovations: in theory design an attack detection and prevention ecosystem for autonomous driving and in application implement a safety analysis toolset for industry-scale autonomous systems.Read moreRead less
Systems to Support Knowledge Creation in Learning Organisations. The proposed project will investigate the capacity of IT to support knowledge making for innovation in modern organisations. Prototypes of three flexible computer-based systems will be iteratively developed and evaluated for their support of knowledge workers in three different industries. The investigators are experienced in socio-technical approaches, which will be used to emphasise the integration between people and IT systems ....Systems to Support Knowledge Creation in Learning Organisations. The proposed project will investigate the capacity of IT to support knowledge making for innovation in modern organisations. Prototypes of three flexible computer-based systems will be iteratively developed and evaluated for their support of knowledge workers in three different industries. The investigators are experienced in socio-technical approaches, which will be used to emphasise the integration between people and IT systems. An interpretive study will determine how the systems can contribute to organisational learning, performance, and responsiveness to change. The outcomes will inform the designers of such systems and show Australian organisations how to gain competitive advantage by expanding their capacity to learn.Read moreRead less
Mining Multiple Information Sources through Collaborative and Comparative Analysis. Mining multiple information sources can significantly enhance our capacity for smart information use. This is because patterns behind scams, fraud, and terrorism activities are difficult to detect, unless pieces of isolated information are properly linked together for mining. This project will deliver cutting-edge data mining techniques, actionable tools, and case study materials, all of which will lead to a numb ....Mining Multiple Information Sources through Collaborative and Comparative Analysis. Mining multiple information sources can significantly enhance our capacity for smart information use. This is because patterns behind scams, fraud, and terrorism activities are difficult to detect, unless pieces of isolated information are properly linked together for mining. This project will deliver cutting-edge data mining techniques, actionable tools, and case study materials, all of which will lead to a number of high quality publications to enhance Australia's international foremost standing in the data mining community. The project will involve highly trained and skilled researchers and practitioners to advance the workforce development in the Australian information technology industry and ensure the healthy growth of the economy.Read moreRead less
New real-time risk indicators to improve the efficiency, environmental impact and safety of air traffic management. Air-traffic demand is constantly rising, and Australia is responsible for the management of 11 per cent of the world's airspace. This project aims to develop risk indicators which will enable us to monitor air-safety risks on a constantly updated basis.
Patient-centred EHealth Approach To Improving Outcomes For Gout Sufferers
Funder
National Health and Medical Research Council
Funding Amount
$688,354.00
Summary
Gout, caused by excessive urate, can be controlled by prescribing medication and patients adhering to them. We will conduct a 2-year controlled trial in primary care to test an eHealth tool to significantly improve gout patient outcomes. This tool tracks patients plasma urate, medication adherence, gout attacks and provides education, interaction with gout experts and reminders of medical visits. Nationwide rollout of this gout management tool will occur after improved outcomes are proven.
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
Cognitive Features of Decision Support System Interfaces. The complex and time-constrained nature of the contemporary workplace is such that there is an increasing dependence on technology to assist operators in formulating accurate and timely decisions. This project is designed to ensure that the process through which this information is presented to operators is as efficient and effective as possible under the circumstances. Using an innovative approach to the development of such decision supp ....Cognitive Features of Decision Support System Interfaces. The complex and time-constrained nature of the contemporary workplace is such that there is an increasing dependence on technology to assist operators in formulating accurate and timely decisions. This project is designed to ensure that the process through which this information is presented to operators is as efficient and effective as possible under the circumstances. Using an innovative approach to the development of such decision support systems, the outcomes of this project will direct the development of this type of technology in the future and, ultimately, lead to more effective and more efficient decision-making under uncertainty.Read moreRead less
A Comprehensive Platform for Dynamic Decision Support in Warning Systems through Better Management of Uncertain Information. Public and individual warning systems are installed widely in Australia for emergency situations such as fire, terrorist attack, tsunami, and financial risk. The developed platform with its uncertain information management and dynamic decision support software will directly assist Australian government agencies, industries, and professional officers responsible for public ....A Comprehensive Platform for Dynamic Decision Support in Warning Systems through Better Management of Uncertain Information. Public and individual warning systems are installed widely in Australia for emergency situations such as fire, terrorist attack, tsunami, and financial risk. The developed platform with its uncertain information management and dynamic decision support software will directly assist Australian government agencies, industries, and professional officers responsible for public warning systems by improving the reliability of generated warnings, effective design of any new warning system, and accurate decision making in responding threats. It will also greatly contribute to the processing of uncertain information in other organizational information systems, and enhance training exercise facilities in complex emergency environments.Read moreRead less