Industrial Transformation Training Centres - Grant ID: IC190100031
Funder
Australian Research Council
Funding Amount
$3,973,202.00
Summary
ARC Training Centre in Data Analytics for Resources and Environments (DARE). Understanding the cumulative impact of actions regarding the use of our resources has important long-term consequences for Australia’s economic, societal and environmental health. Yet despite the importance of these cumulative impacts, and the availability of data, many decisions and policies are based on limited amounts of data and rudimentary data analysis, with little appreciation of the critical role that understand ....ARC Training Centre in Data Analytics for Resources and Environments (DARE). Understanding the cumulative impact of actions regarding the use of our resources has important long-term consequences for Australia’s economic, societal and environmental health. Yet despite the importance of these cumulative impacts, and the availability of data, many decisions and policies are based on limited amounts of data and rudimentary data analysis, with little appreciation of the critical role that understanding and quantifying uncertainty plays in the process. The aim of Data Analytics in Resources and Environment (DARE) is to develop and deliver the data science skills and tools for Australia’s resource industries to make the best possible evidence-based decisions in exploiting and stewarding the nation’s natural resources.Read moreRead less
Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are inn ....Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are innovative semi-automated nephron visualisation and quantitation tools that enable efficient renal phenotyping. Techniques tailored to widely accessible preclinical research scanners are expected to accelerate research into genetic and environmental factors affecting kidney microstructure in embryonic and post-natal life.Read moreRead less
Rethinking higher education persistence. This project aims to address the issue of early departure from university. Many students leave higher education and disproportionate numbers are from educationally disadvantaged groups, including first-in-family learners. Too often, the individual learner is 'blamed' for this departure and perceived as deficit in necessary knowledge. This project extends previous research into how first-in-family students manage and engage with higher education. Expected ....Rethinking higher education persistence. This project aims to address the issue of early departure from university. Many students leave higher education and disproportionate numbers are from educationally disadvantaged groups, including first-in-family learners. Too often, the individual learner is 'blamed' for this departure and perceived as deficit in necessary knowledge. This project extends previous research into how first-in-family students manage and engage with higher education. Expected outcomes include knowledge about university persistence behaviours and a capabilities informed framework to design and implement future retention strategies.Read moreRead less
International collaboration in teaching and learning of Einsteinian physics. Following a previous project that showed that it is possible and beneficial to teach the modern Einsteinian paradigm of space, time, matter, light and gravity to students as young as 8 years old, this project aims to test and evaluate a seamless progression of learning modern physics through primary and secondary school. It will sequence, integrate and test research-informed teaching and learning materials, and assessme ....International collaboration in teaching and learning of Einsteinian physics. Following a previous project that showed that it is possible and beneficial to teach the modern Einsteinian paradigm of space, time, matter, light and gravity to students as young as 8 years old, this project aims to test and evaluate a seamless progression of learning modern physics through primary and secondary school. It will sequence, integrate and test research-informed teaching and learning materials, and assessment instruments developed through a 7-nation collaboration. Research across 24 schools will be reviewed by a panel drawn from professional organisations and curriculum authorities, and learning resources will be widely disseminated, with view to worldwide introduction of Einsteinian science at school.Read moreRead less
Uncovering the processes underlying human category learning. There is a pervasive belief that complex tasks can somehow be learned via a 'smart' implicit or procedural learning mechanism, which operates independently of memory and attention. This idea has important implications for our understanding of cognition. If true, there seems little point in providing explicit instruction in such tasks, and efforts to do so are, at best, wasted time and, at worst, detrimental to the learning process. Th ....Uncovering the processes underlying human category learning. There is a pervasive belief that complex tasks can somehow be learned via a 'smart' implicit or procedural learning mechanism, which operates independently of memory and attention. This idea has important implications for our understanding of cognition. If true, there seems little point in providing explicit instruction in such tasks, and efforts to do so are, at best, wasted time and, at worst, detrimental to the learning process. This project will provide much-needed scrutiny of this idea and will help not only to re-orient our understanding of how we deal with complex information, but will also highlight issues about data interpretation that are fundamental for the research and wider communities.Read moreRead less
Learning Software Security Analysers with Imperfect Data. This project aims to systematically investigate next-generation learning-based software security analysis to detect vulnerabilities in real-world large-scale software. The expected learning-based foundation will support the handling of imperfect data in order to provide a precise, scalable and adaptive security analysis of the critical software components, thus capturing important security vulnerabilities missed by existing approaches. Th ....Learning Software Security Analysers with Imperfect Data. This project aims to systematically investigate next-generation learning-based software security analysis to detect vulnerabilities in real-world large-scale software. The expected learning-based foundation will support the handling of imperfect data in order to provide a precise, scalable and adaptive security analysis of the critical software components, thus capturing important security vulnerabilities missed by existing approaches. The success of this project will further enhance the international competitiveness of Australian research in this important field and will benefit any Australian industry and business where software systems are deeply-rooted, such as transportation, smart homes, medical devices, defence and finance.Read moreRead less
Executive functioning, gender, age and medication as predictors of developmental well-being among students with ADHD. This study constructs social-cognitive phenotypes of ADHD, evaluates mental health and investigates ADHD student perceptions of classroom environment and achievement in science as functions of executive functioning, gender, age and medication. The effect of standard psychostimulant intervention and a novel nonpsychostimulant option on executive function, developmental and educati ....Executive functioning, gender, age and medication as predictors of developmental well-being among students with ADHD. This study constructs social-cognitive phenotypes of ADHD, evaluates mental health and investigates ADHD student perceptions of classroom environment and achievement in science as functions of executive functioning, gender, age and medication. The effect of standard psychostimulant intervention and a novel nonpsychostimulant option on executive function, developmental and educational outcomes will be investigated. The expected outcomes will inform more effective teacher professional development, and reduce school problems associated with psychostimulant medication and its illicit distribution by students. The linkage of health and education partners meets a nationally identified need for more effective collaboration to improve education outcomes for ADHD students.Read moreRead less
Understanding Growth in Emotion Regulatory Flexibility in Emerging Adults. Emerging adults (ages 18-25) are now facing unparalleled social and technological change and the on-going effects of the COVID-19 pandemic. Such demands can be overwhelming and undermine engagement with education and employment, with serious impacts for the individual and society. At the same time, our novel model proposes that the diverse daily adult-like stressors that characterise emerging adulthood can also drive grow ....Understanding Growth in Emotion Regulatory Flexibility in Emerging Adults. Emerging adults (ages 18-25) are now facing unparalleled social and technological change and the on-going effects of the COVID-19 pandemic. Such demands can be overwhelming and undermine engagement with education and employment, with serious impacts for the individual and society. At the same time, our novel model proposes that the diverse daily adult-like stressors that characterise emerging adulthood can also drive growth in flexible emotion regulation when combined with reflection on, and insight into, their own coping processes. Our research expands scientific knowledge by taking the first steps to uncover why some emerging adults increase their ability to flexibly regulate their emotions over this period, whereas others fail to do so.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100206
Funder
Australian Research Council
Funding Amount
$423,154.00
Summary
Pain: Open to interpretation? This project aims to determine how pain interpretation drives pain experience, using rigorous state-of-the-art lab research. This project expects to generate new knowledge about the psychological mechanisms maintaining pain experience and avoidance behaviour, using novel techniques to measure interpretation of pain sensations. Expected outcomes include the development of an evidence-based psychological model of pain interpretation, enhanced capacity to build interna ....Pain: Open to interpretation? This project aims to determine how pain interpretation drives pain experience, using rigorous state-of-the-art lab research. This project expects to generate new knowledge about the psychological mechanisms maintaining pain experience and avoidance behaviour, using novel techniques to measure interpretation of pain sensations. Expected outcomes include the development of an evidence-based psychological model of pain interpretation, enhanced capacity to build international collaborations, and ecologically valid methods for measuring pain interpretation. This research forms a solid platform for further translational research, to build novel, scalable interventions to improve outcomes for the one in five Australians living with chronic pain.Read moreRead less