Developing group-based elicitation methods to improve decision making. This project aims to develop an elicitation methodology enabling multiple members of a team to contribute to the same technical problem - enabling expertise to be accurately combined while avoiding group and individual sources of bias. Good elicitation methods minimise bias in estimates and forecasts - which otherwise erode value and lead to sub-optimal decision making. Existing methods, however, ignore group structures; that ....Developing group-based elicitation methods to improve decision making. This project aims to develop an elicitation methodology enabling multiple members of a team to contribute to the same technical problem - enabling expertise to be accurately combined while avoiding group and individual sources of bias. Good elicitation methods minimise bias in estimates and forecasts - which otherwise erode value and lead to sub-optimal decision making. Existing methods, however, ignore group structures; that is that decisions made by, or on, the advice of teams have different characteristics than individual decisions and often preclude the use of methods designed to limit individuals' biases. By encoding the method into a computerised tool the project will assist public and private sector enterprises to improve group decision making.Read moreRead less
Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more princi ....Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more principled and comprehensive computational model of reasoning in both adults and children. The project should provide significant benefits by helping to resolve long-standing debates about how humans reason complex arguments relevant to everyday lives and guide development of more effective methods for teaching reasoning.Read moreRead less
Measuring and modelling the mechanical response of soils incorporating recycled tyres. Civil engineers use backfill to refill excavated areas around new structures. They have found recently that rubber chips and shredded rubber make excellent backfill when combined with a small percentage of cement to make ‘rubber soil’. The widespread use of rubber soil therefore offers a tremendous opportunity to make use of a serious waste product to achieve important engineering outcomes. However, too little ....Measuring and modelling the mechanical response of soils incorporating recycled tyres. Civil engineers use backfill to refill excavated areas around new structures. They have found recently that rubber chips and shredded rubber make excellent backfill when combined with a small percentage of cement to make ‘rubber soil’. The widespread use of rubber soil therefore offers a tremendous opportunity to make use of a serious waste product to achieve important engineering outcomes. However, too little is known about the technology. This project will model the behaviour of rubber soil in order to introduce it as an environmentally sustainable, cost-effective and technically sound choice of geomaterial for both standard and non-standard geotechnical structures.Read moreRead less
ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
A multi-agent system for stakeholder management in off-site construction. This project aims to investigate a socio-technology model for stakeholders and informatics to improve off-site construction (OSC) productivity in infrastructure construction. A multi-agent system for OSC could drive down cost, but requires highly integrated collaboration among stakeholders. The project’s quantitative approaches include large-scale social network analysis, multi-agent consensus modelling and an optimisation ....A multi-agent system for stakeholder management in off-site construction. This project aims to investigate a socio-technology model for stakeholders and informatics to improve off-site construction (OSC) productivity in infrastructure construction. A multi-agent system for OSC could drive down cost, but requires highly integrated collaboration among stakeholders. The project’s quantitative approaches include large-scale social network analysis, multi-agent consensus modelling and an optimisation algorithm for collaborative planning. The project outcomes are expected to secure long-term economic benefits by enhancing performance in complex projects.Read moreRead less
Judges' work, place and psychological health - a national view. This project aims to address the human, juridical and financial costs of judicial officers’ work-related psychological harm. This harm is implicated in early retirement, sick leave and suicide. It threatens appropriate courtroom conduct, procedural fairness and impartial adjudication. The project seeks to generate new knowledge of the stress judicial officers experience and the individual and institutional mechanisms for managing st ....Judges' work, place and psychological health - a national view. This project aims to address the human, juridical and financial costs of judicial officers’ work-related psychological harm. This harm is implicated in early retirement, sick leave and suicide. It threatens appropriate courtroom conduct, procedural fairness and impartial adjudication. The project seeks to generate new knowledge of the stress judicial officers experience and the individual and institutional mechanisms for managing stressors, combining socio-legal and psychological approaches. Expected outcomes include evidence-based understandings to inform recruitment and retention strategies specific to this highly specialized workforce. This should provide significant benefits for judges’ work capacities and courts' delivery of justice.Read moreRead less
Creating perceptual experts in Australia's policing and security agencies. This project aims to create the next generation of experts in Australia’s policing and national security agencies, by improving crime scene evidence interpretation. Agencies are under pressure to develop more rigorous training practices that go beyond mere intuition and tradition. This project will use a novel approach that directs learning toward the most diagnostic perceptual cues. Expected outcomes include a solid empi ....Creating perceptual experts in Australia's policing and security agencies. This project aims to create the next generation of experts in Australia’s policing and national security agencies, by improving crime scene evidence interpretation. Agencies are under pressure to develop more rigorous training practices that go beyond mere intuition and tradition. This project will use a novel approach that directs learning toward the most diagnostic perceptual cues. Expected outcomes include a solid empirical basis for national training programs designed to create experts that are accurate, reliable, and continuously improving. Improving the training of experts will ensure the integrity of forensics as evidentiary tools available to police, lead to more reliable courtroom convictions and help safeguard Australia from terrorism and crime.Read moreRead less
Longshore Sediment Supply to the Deep Ocean. The current model to supply sand to deep water off continental margins is that provided by rivers operating at low sea level. We propose an alternative model in which sand is provided by longshore transport to deep water at high sea level north of Fraser Island, SE Queensland. Here we will test the validity of our new model by site studies of sea bottom morphology, composition and dynamics. If the model proves true, we will have: 1) generated an entir ....Longshore Sediment Supply to the Deep Ocean. The current model to supply sand to deep water off continental margins is that provided by rivers operating at low sea level. We propose an alternative model in which sand is provided by longshore transport to deep water at high sea level north of Fraser Island, SE Queensland. Here we will test the validity of our new model by site studies of sea bottom morphology, composition and dynamics. If the model proves true, we will have: 1) generated an entirely new exploration model for deepwater hydrocarbons, 2) provided new expertise and seabed maps for generating a superior marine naval defence capability.Read moreRead less
Electrically conductive elastomeric composites by nanomaterials. Electrically conductive elastomeric composites by nanomaterials. This project aims to develop electrically conductive, mechanically robust, cost-effective elastomeric composites, by exploring new processing methods and studying the synergy between graphene sheets and multi-walled carbon nanotubes. Composites will be design, research and manufactured to suit the fabrication of rolling-resistance sensors that detect early-stage malfu ....Electrically conductive elastomeric composites by nanomaterials. Electrically conductive elastomeric composites by nanomaterials. This project aims to develop electrically conductive, mechanically robust, cost-effective elastomeric composites, by exploring new processing methods and studying the synergy between graphene sheets and multi-walled carbon nanotubes. Composites will be design, research and manufactured to suit the fabrication of rolling-resistance sensors that detect early-stage malfunctioning idler rolls. This technology could prevent the breakage of conveyor belts which are essential to the mining, processing and transportation of loose bulk materials; and improve the design and manufacturing of flexible sensors.Read moreRead less
Investigation of the component distributions of pause duration in spontaneous speech: Constraints for models of language production. We have discovered that the distribution of pause durations in spontaneous speech of individual speakers can be decomposed into at least two log-normal distributions. Our project will investigate this finding and provide a foundation for new research relevant to language production models. This will be achieved by determining the semantic, lexical, psycholinguistic ....Investigation of the component distributions of pause duration in spontaneous speech: Constraints for models of language production. We have discovered that the distribution of pause durations in spontaneous speech of individual speakers can be decomposed into at least two log-normal distributions. Our project will investigate this finding and provide a foundation for new research relevant to language production models. This will be achieved by determining the semantic, lexical, psycholinguistic, physiological, and acoustic concomitants of each component distribution and by investigating the impact of selected variables on the shape and location of each. The project has important implications for models of language production and applied problems involving automatic speech recognition, forensic speaker identification, and human communication disorders.Read moreRead less