Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic erro ....Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic errors affecting thousands. This research tests a new method of assessing diagnostic skills based on how skilled operators respond to cues. This project will test how employees’ diagnostic skills change and whether this change corresponds to measures of organisational performance. This research is expected to provide organisations with a tool to pre-empt diagnostic errors that could minimise costs to the economy.Read moreRead less
Radicalisation, Counter-Radicalisation, and De-Radicalisation: Developing a New Understanding of Terrorism in the Australian Context. Concentrating on the unique drivers of extremism within Victoria (and Australia), the study will enhance counter terrorism stakeholders' understanding of domestic radicalization. This will assist in designing policies appropriate for Australian circumstances that can: 1. pre-empt, prevent and detect radicalisation without jeopardising social cohesion and 2. reduce ....Radicalisation, Counter-Radicalisation, and De-Radicalisation: Developing a New Understanding of Terrorism in the Australian Context. Concentrating on the unique drivers of extremism within Victoria (and Australia), the study will enhance counter terrorism stakeholders' understanding of domestic radicalization. This will assist in designing policies appropriate for Australian circumstances that can: 1. pre-empt, prevent and detect radicalisation without jeopardising social cohesion and 2. reduce Australia's reliance on overseas counter-radicalisation and de-radicalisation models, where practitioners confront different community dynamics. Working towards understanding what causes radicalization in Australia, the project offers to enhance national security and by addressing local circumstances carries the prospect of creating more cost-efficient counter terrorism practices.Read moreRead less
Supporting personalised learning in secondary schools through the use of specific mathematics assessments that reveal thinking. This project will improve numeracy standards in secondary schools, by assisting teachers to personalise the teaching of each student. Through detailed research, the project will develop sophisticated assessments that clearly reveal students' mathematical thinking. On-line diagnosis will suggest teaching activities that can bring about desired conceptual changes. The eff ....Supporting personalised learning in secondary schools through the use of specific mathematics assessments that reveal thinking. This project will improve numeracy standards in secondary schools, by assisting teachers to personalise the teaching of each student. Through detailed research, the project will develop sophisticated assessments that clearly reveal students' mathematical thinking. On-line diagnosis will suggest teaching activities that can bring about desired conceptual changes. The effectiveness of the resources will be thoroughly tested, for impact on student achievement and the mathematics teaching skills of teachers, especially those working out-of-field. Rural schools will have equal access to these resources. Good numeracy provides the foundation for life-long learning, employment satisfaction and the economic competitiveness of Australia.Read moreRead less
Improving Signal Detection Range of Active Seismic Monitoring in Mines. This project will develop a new generation of sensors that will process incoming seismic waves from an active source to accurately estimate the properties of underground rock mass in real time. This will lead to safer mining operations that will decrease the number of injuries and deaths. A probability graph model will be used to fuse measurements from different sensors to produce more accurate estimates of the rock mass. A ....Improving Signal Detection Range of Active Seismic Monitoring in Mines. This project will develop a new generation of sensors that will process incoming seismic waves from an active source to accurately estimate the properties of underground rock mass in real time. This will lead to safer mining operations that will decrease the number of injuries and deaths. A probability graph model will be used to fuse measurements from different sensors to produce more accurate estimates of the rock mass. A new low-cost seismic source will excite large areas of rock mass for continuous monitoring of the changes in stress and fracture density caused by mining. This will lead to methodologies that will significantly improve mining operations and increase Australia’s productivity in the mining sector.Read moreRead less
Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar ....Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.Read moreRead less