Modelling human decision making in complex environments. The project aims to extend quantitative psychological models of simple choice tasks to decision-making with complex stimuli in complex environments. The new formal models are designed to provide a comprehensive account of behaviour, including the choices that are made, how long it takes to make them, and how choices and choice times vary within and between decision-makers. The models would explain how people adapt to changes in task demand ....Modelling human decision making in complex environments. The project aims to extend quantitative psychological models of simple choice tasks to decision-making with complex stimuli in complex environments. The new formal models are designed to provide a comprehensive account of behaviour, including the choices that are made, how long it takes to make them, and how choices and choice times vary within and between decision-makers. The models would explain how people adapt to changes in task demands when dealing with multiple stimuli or performing multiple tasks concurrently under time pressure. The project aims to provide the basic research that is needed to extend psychological models of choice to complex ‘real-world’ tasks, such air traffic control and maritime surveillance.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100074
Funder
Australian Research Council
Funding Amount
$520,000.00
Summary
Facilities for automated high-throughput slide scanning and stereology. The equipment requested will facilitate the work of the Australian Mouse Brain Mapping Consortium, a consortium of Australian research groups collaborating to provide the only mouse model brain mapping capability in the country. The consortium brings together laboratory, neuroimaging and computational expertise in a comprehensive framework for imaging the mouse brain. This will help researchers to study mouse models of genet ....Facilities for automated high-throughput slide scanning and stereology. The equipment requested will facilitate the work of the Australian Mouse Brain Mapping Consortium, a consortium of Australian research groups collaborating to provide the only mouse model brain mapping capability in the country. The consortium brings together laboratory, neuroimaging and computational expertise in a comprehensive framework for imaging the mouse brain. This will help researchers to study mouse models of genetic and acquired disorders across the life-span. Remote viewing and analysis capabilities will help overcome the 'tyranny of distance', increasing national access to the facility. Repositories of digitised images will increase the availability of valuable research material to other Australian and international researchers.Read moreRead less
An automated 3D model-based object recognition system. A novel, practical 3D vision system is proposed as a platform for fundamental applied research in 3D data acquisition, object modelling and object recognition. The significance of the vision system lies in the advancement of knowledge in three key areas of computer vision, registration, recognition and error propagation. The result is a system capable of sensing, modelling and identifying arbitrarily shaped free-form objects in a scene, an a ....An automated 3D model-based object recognition system. A novel, practical 3D vision system is proposed as a platform for fundamental applied research in 3D data acquisition, object modelling and object recognition. The significance of the vision system lies in the advancement of knowledge in three key areas of computer vision, registration, recognition and error propagation. The result is a system capable of sensing, modelling and identifying arbitrarily shaped free-form objects in a scene, an attribute lacking in current systems. Such a system can provide substantial economic benefits to industrial procedures such as grasp planning and quality control.Read moreRead less
Understanding and Costing Offending Trajectories: Creating an Evidence-Base for Targeting Crime Prevention. The research will provide an evidence-base for targeting diversionary and crime prevention programs and for assessing their cost-effectiveness. Many of these programs have resulted in a range of beneficial outcomes and they are receiving increased government funding. By providing a better understanding of offending pathways, the research will enable programs to be targeted towards particul ....Understanding and Costing Offending Trajectories: Creating an Evidence-Base for Targeting Crime Prevention. The research will provide an evidence-base for targeting diversionary and crime prevention programs and for assessing their cost-effectiveness. Many of these programs have resulted in a range of beneficial outcomes and they are receiving increased government funding. By providing a better understanding of offending pathways, the research will enable programs to be targeted towards particular at-risk groups at crucial developmental phases. The innovative longitudinal costing method that will be developed and applied in the Queensland context will enable an assessment of the cost-effectiveness of diversionary and crime prevention programs. This will provide a sound empirical basis for directing scarce government resources.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0561030
Funder
Australian Research Council
Funding Amount
$441,100.00
Summary
Developmental Imaging Facility. This application seeks to establish a facility to undertake expression profiling in vertebrate tissues on a genomic scale and at the highest resolution. Undertaking large scale projects of this nature requires specialised robotics and dedicated infrastructure for microscopy and tissue preparation. This facility will be the first of its type in Australia will permit researchers to perform genomic scale in situ screens, many as part of large international initiative ....Developmental Imaging Facility. This application seeks to establish a facility to undertake expression profiling in vertebrate tissues on a genomic scale and at the highest resolution. Undertaking large scale projects of this nature requires specialised robotics and dedicated infrastructure for microscopy and tissue preparation. This facility will be the first of its type in Australia will permit researchers to perform genomic scale in situ screens, many as part of large international initiatives in developmental and cellular biology. This large-scale, high-resolution expression profiling infrastructure is required to maintain international competitiveness and will dramatically improve our gene discovery, functional assessment and understanding of vertebrate development.Read moreRead less
Rhinovirus impairs physiological and immunological lung development and causes exacerbation of allergic airways disease. Rhinovirus (RV) infections account for around 90 per cent of asthma exacerbations, yet the mechanisms behind this are unknown. This project will use mouse models to study the effects of early life RV infection and allergic sensitisation on respiratory and immunological development, with the expectation that early life RV infection disrupts anitgen presenting cell function.
Special Research Initiatives - Grant ID: SR1101002
Funder
Australian Research Council
Funding Amount
$21,000,000.00
Summary
Stem Cells Australia. Despite progress in stem cell research, scientists do not understand how stem cells “decide” what to become. Stem Cells Australia will draw upon strengths within Australia’s premier stem cell research universities and institutes. This collaboration between leading bioengineering, nanotechnology, stem cell and advanced molecular analysis experts, will fast-track efforts to deliver a fundamental understanding of the mechanisms of stem cell regulation and differentiation, and ....Stem Cells Australia. Despite progress in stem cell research, scientists do not understand how stem cells “decide” what to become. Stem Cells Australia will draw upon strengths within Australia’s premier stem cell research universities and institutes. This collaboration between leading bioengineering, nanotechnology, stem cell and advanced molecular analysis experts, will fast-track efforts to deliver a fundamental understanding of the mechanisms of stem cell regulation and differentiation, and the ability to control and influence this process. Stem Cells Australia will deliver new methods for stem cell propagation and manipulation, new translational technologies for therapeutic applications, and will prepare Australia’s future stem cell scientific leaders.Read moreRead less
Rethinking auditory alarms. This project aims to investigate whether auditory displays that give listeners background information about the status of monitored processes will lead to better situation awareness than conventional auditory alarms. Recent efforts to combat alarm fatigue by reducing auditory alarms may cause listeners to lose awareness of early process deterioration and its context. This project will investigate benefits of intermittent displays summarising process status with sound ....Rethinking auditory alarms. This project aims to investigate whether auditory displays that give listeners background information about the status of monitored processes will lead to better situation awareness than conventional auditory alarms. Recent efforts to combat alarm fatigue by reducing auditory alarms may cause listeners to lose awareness of early process deterioration and its context. This project will investigate benefits of intermittent displays summarising process status with sound or time-compressed speech while participants perform specific ongoing tasks. Anticipated outcomes are safer, more effective and better tolerated ways of monitoring processes than conventional auditory alarms. Results apply to healthcare, transportation and process industries.Read moreRead less
On-chip spectroscopy and hyperspectral imaging for remote environments. On-chip spectroscopy and hyperspectral imaging for remote environments. This project aims to investigate techniques and materials for building optical spectrometers based on micromachines, usable in portable ground-based and drone-mounted applications in remote environments. Optical spectroscopy is now an accepted technique for materials detection and analysis. The advent of low-cost drone aircraft makes the potential applic ....On-chip spectroscopy and hyperspectral imaging for remote environments. On-chip spectroscopy and hyperspectral imaging for remote environments. This project aims to investigate techniques and materials for building optical spectrometers based on micromachines, usable in portable ground-based and drone-mounted applications in remote environments. Optical spectroscopy is now an accepted technique for materials detection and analysis. The advent of low-cost drone aircraft makes the potential applications of spectroscopy in an imaging form immense. The project expects the resulting low-cost and highly portable technology will transform Australian industry, including securing Australia’s food supply by improving farming practices, aiding mineral exploration, and enhancing capabilities for monitoring Australia’s coastline.Read moreRead less