Immersive Technologies for Rapid Metallic Tank Inspection and Repairs. Metal tank silos house some of the most dangerous chemicals, which erode the internal structure of the tank over time. It is critical to check the integrity of the tank to prevent disasters from occurring. NDE solutions uses a rapid motion scanner (RMS) to scan the interior surface of the container while it is still full of its storage material. It is the aim of this project to use Augmented Reality, to overlay the scan provi ....Immersive Technologies for Rapid Metallic Tank Inspection and Repairs. Metal tank silos house some of the most dangerous chemicals, which erode the internal structure of the tank over time. It is critical to check the integrity of the tank to prevent disasters from occurring. NDE solutions uses a rapid motion scanner (RMS) to scan the interior surface of the container while it is still full of its storage material. It is the aim of this project to use Augmented Reality, to overlay the scan provided by the RMS, onto the worker's view of the tank, control the robot via. hand gestures, and facilitate remote training/guidance. The result will allow for inspection workers to quickly and accurately the location of critical failures, without performing the hazardous procedures of internal tank inspection. Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100017
Funder
Australian Research Council
Funding Amount
$3,703,664.00
Summary
ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource ....ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource attributes, maximising value ‘on the fly’. Benefits will include increasing certainty on product quality and maximising throughput and recovery. Outcomes will include new tools to rapidly model geological and geometallurgical uncertainty with sensor inputs, to track the resource to product and enhance interpretation.Read moreRead less
Youth, religion and sexuality: digital media, school cultures, exemptions. This project aims to understand the knowledges and practices about sexuality and religion that form the everyday worlds of young people who are religious. This should provide significant new knowledge about a key time in the development of a young person’s identity via a nationwide, deep yet comparative approach. Expected outcomes include strategic health policy and curriculum development advice that responds to current d ....Youth, religion and sexuality: digital media, school cultures, exemptions. This project aims to understand the knowledges and practices about sexuality and religion that form the everyday worlds of young people who are religious. This should provide significant new knowledge about a key time in the development of a young person’s identity via a nationwide, deep yet comparative approach. Expected outcomes include strategic health policy and curriculum development advice that responds to current debates around religious exemptions to anti-discrimination law and creates better education and health care for religious and LGBTIQ+ youth. Benefits will include increased wellbeing for religious LGBTIQ+ youth, conservatively religious and newly arrived youth communities in Australia.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100380
Funder
Australian Research Council
Funding Amount
$390,574.00
Summary
Enhancing comprehension of forensic science in the justice system. Failures to effectively communicate the accuracy and reliability of forensic evidence to courts can lead to unreliable convictions and miscarriages of justice. This project aims to understand how best to distil complex information about error and uncertainty in forensic expert opinion evidence for enhanced comprehension of forensic science in the justice system. Outcomes include evidence-based strategies for communicating error a ....Enhancing comprehension of forensic science in the justice system. Failures to effectively communicate the accuracy and reliability of forensic evidence to courts can lead to unreliable convictions and miscarriages of justice. This project aims to understand how best to distil complex information about error and uncertainty in forensic expert opinion evidence for enhanced comprehension of forensic science in the justice system. Outcomes include evidence-based strategies for communicating error and uncertainty in forensic science and an accessible online dashboard for visualising known error rates in forensic disciplines. The knowledge gained from the project will help forensic experts to calibrate how they present their conclusions to courts for improved comprehension and evaluation of forensic evidence.Read moreRead less
Expecting the unexpected: how people prioritise predictability. This project aims to investigate how people represent and use information about unpredictability in their environment. Seeing too much predictability is problematic, but seeing too little can also be a problem, for example inappropriate "learned helplessness" can occur, whereby people feel disempowered because the world is seen as random. Recent findings demonstrated a bias in fundamental learning that may maintain these inappropria ....Expecting the unexpected: how people prioritise predictability. This project aims to investigate how people represent and use information about unpredictability in their environment. Seeing too much predictability is problematic, but seeing too little can also be a problem, for example inappropriate "learned helplessness" can occur, whereby people feel disempowered because the world is seen as random. Recent findings demonstrated a bias in fundamental learning that may maintain these inappropriate beliefs about unpredictability. This bias is not anticipated by formal theories of learning. The project will investigate how this bias is brought about by first formalising a novel theory of fundamental learning and then systematically testing its assumptions.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
Artisanal making and the future of small-scale local production. Small-scale local production is essential to Australia’s post-COVID social and economic recovery. Employing a mixed methods approach, this project aims to identify the consumer identities, decision-making and sustainable artisanal production models underpinning contemporary demand for locally made goods. Moving innovatively beyond binaries of production/consumption and individual production sectors, the project expects to generate ....Artisanal making and the future of small-scale local production. Small-scale local production is essential to Australia’s post-COVID social and economic recovery. Employing a mixed methods approach, this project aims to identify the consumer identities, decision-making and sustainable artisanal production models underpinning contemporary demand for locally made goods. Moving innovatively beyond binaries of production/consumption and individual production sectors, the project expects to generate vital new knowledge about how markets for small-scale Australian production can be expanded. Expected outcomes of this project include the generation of robust data to inform strategies that will benefit operators in remaining competitive and support the development of new and emerging artisanal businesses.Read moreRead less
Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time ....Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time, and confidence, suitable for application to computerized testing scenarios. The models and testing methods validated in the laboratory will be refined for application in eyewitness memory settings, facilitating better evaluation of identification evidence, and potentially reducing wrongful convictions.Read moreRead less
Organisms and Us: How Living Things Help Us To Understand Our World. How do researchers learn from and 'think with' non-human organisms? This project seeks to develop a comprehensive historical and philosophical exploration of the changing roles and understandings of research with organisms in 20th and early 21st century science. Advances in the content and technologies of the biological and biomedical sciences have resulted in new understandings of what we can know and learn from organisms, par ....Organisms and Us: How Living Things Help Us To Understand Our World. How do researchers learn from and 'think with' non-human organisms? This project seeks to develop a comprehensive historical and philosophical exploration of the changing roles and understandings of research with organisms in 20th and early 21st century science. Advances in the content and technologies of the biological and biomedical sciences have resulted in new understandings of what we can know and learn from organisms, particularly with regard to human functioning, health, and well-being, yet we have no integrated scholarship examining these developments across a range of fields. This project seeks to produce useful scholarship relevant for humanities scholars, scientists, clinicians and policy-makers.Read moreRead less
Threats to the water quality and ecosystem of Coffin Bay, South Australia. Coffin Bay (South Australia) is experiencing worsening environmental conditions despite its major economic and ecological importance. Research is needed to understand the cause of this decline, particularly in light of a recent bacterial outbreak that impacted the aquaculture industry. This multidisciplinary project aims to deliver world-leading scientific advice based on novel field techniques and innovative models of th ....Threats to the water quality and ecosystem of Coffin Bay, South Australia. Coffin Bay (South Australia) is experiencing worsening environmental conditions despite its major economic and ecological importance. Research is needed to understand the cause of this decline, particularly in light of a recent bacterial outbreak that impacted the aquaculture industry. This multidisciplinary project aims to deliver world-leading scientific advice based on novel field techniques and innovative models of this complex inverse estuary system and its surrounding catchment. The new understanding of the sources, fluxes and fate of nutrients within the bay and the surrounding catchment, arising from this project, is expected to benefit management decision-making and establish a new standard in estuarine water quality investigation.Read moreRead less