Industrial Transformation Training Centres - Grant ID: IC220100035
Funder
Australian Research Council
Funding Amount
$4,958,927.00
Summary
ARC Training Centre for Hyphenated Analytical Separation Technologies . The toughest analytical science challenges typically require advanced analytical technologies to acquire the desired solutions. In the field of separation science this inevitably involves hyphenated separation technologies, specifically the combination of chromatography and mass spectrometry. Advancing this technology to its full capability requires the collaborative strength of academic, industry and end-user partnerships, ....ARC Training Centre for Hyphenated Analytical Separation Technologies . The toughest analytical science challenges typically require advanced analytical technologies to acquire the desired solutions. In the field of separation science this inevitably involves hyphenated separation technologies, specifically the combination of chromatography and mass spectrometry. Advancing this technology to its full capability requires the collaborative strength of academic, industry and end-user partnerships, providing the materials and inspiration for young researchers to apply novel hyphenated methods to complex environmental and industrial systems. This Centre will deliver fundamental developments in hyphenated technologies, new analytical capability, and applied outcomes across multiple end-user groups and interests. Read moreRead less
Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
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
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less
Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop ....Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).Read moreRead less
The endangered swift parrot as a model for managing small migratory birds. Endangered swift parrots use variable locations while breeding in eastern Tasmania and over winter on the Australian mainland. This project aims to develop effective conservation strategies for swift parrots and other migrants using new and long term data and innovative technological solutions to tracking small birds across vast landscapes.
Integrating fire and predator management to conserve threatened species. This project aims to empower land managers to better conserve Australia’s threatened native animals by developing decision-support approaches that facilitate integrated management of threatening processes. The project will use a combination of novel predictive models, field experiments and data syntheses to assist land managers to better conserve Australia’s threatened native fauna. This project will benefit biodiversity co ....Integrating fire and predator management to conserve threatened species. This project aims to empower land managers to better conserve Australia’s threatened native animals by developing decision-support approaches that facilitate integrated management of threatening processes. The project will use a combination of novel predictive models, field experiments and data syntheses to assist land managers to better conserve Australia’s threatened native fauna. This project will benefit biodiversity conservation by enabling more effective allocation of limited conservation resources.Read moreRead less
How isolated is Antarctica? Assessing past and present plant colonisations. The project aims to assess how biologically isolated Antarctica is by discovering how, when and where natural colonisations of the continent have occurred. The research will focus on mosses, the dominant plant group in the Antarctic. genomic tools will be combined with environmental, spatial, and ecological data to assess mechanisms and directions of dispersal to and around Antarctica, and to predict areas most likely to ....How isolated is Antarctica? Assessing past and present plant colonisations. The project aims to assess how biologically isolated Antarctica is by discovering how, when and where natural colonisations of the continent have occurred. The research will focus on mosses, the dominant plant group in the Antarctic. genomic tools will be combined with environmental, spatial, and ecological data to assess mechanisms and directions of dispersal to and around Antarctica, and to predict areas most likely to be colonised in the future. This will help understand the processes underpinning the evolution and diversity of Antarctic species, and the vulnerability and adaptability of Antarctic ecosystems. Read moreRead less
Clothes, fibres and filters that reduce pollution by micro and nano debris. This project aims to provide scientifically verified methods to avoid, intercept and redesign products that cause the most abundant type of marine plastic pollution – clothing fibres - which has increased by over 450% in 60 years. It will determine how natural and plastic fibres, clothing brands and washing machine filters, alter fibre emissions and ecological impacts. This will enable protocols to improve products and t ....Clothes, fibres and filters that reduce pollution by micro and nano debris. This project aims to provide scientifically verified methods to avoid, intercept and redesign products that cause the most abundant type of marine plastic pollution – clothing fibres - which has increased by over 450% in 60 years. It will determine how natural and plastic fibres, clothing brands and washing machine filters, alter fibre emissions and ecological impacts. This will enable protocols to improve products and the environment, and reduce health risks that will benefit the public, government regulation and companies in designing "eco-friendly" products.Read moreRead less
Fostering school attendance for students in Out-of-Home Care. This project aims to investigate why children and young people in Out-Of-Home-Care in Australia are absent from school far more than their peers. The project expects to generate new knowledge about the reasons for their absences and to develop solutions to improve attendance through: children’s own voices; detailed absence data; policy audit; and case studies of promising practice. Expected outcomes include a comprehensive conceptuali ....Fostering school attendance for students in Out-of-Home Care. This project aims to investigate why children and young people in Out-Of-Home-Care in Australia are absent from school far more than their peers. The project expects to generate new knowledge about the reasons for their absences and to develop solutions to improve attendance through: children’s own voices; detailed absence data; policy audit; and case studies of promising practice. Expected outcomes include a comprehensive conceptualisation of absences including those triggered by schools or the care context; and an evidence-informed, child-centred framework to enable attendance and, thereby, improved educational outcomes. This should provide significant social and economic benefits both for children in care and for the community. Read moreRead less