Application of contemporary systems-based methods to reduce trauma at rail level crossings. Crashes at railway level crossings continue to cause significant trauma across Australia. Despite being a longstanding safety problem, the design and operation of level crossings has not changed considerably for decades. This research will provide an in-depth understanding of road user, environmental and infrastructure-related factors that influence safety and performance at rail level crossings. This wil ....Application of contemporary systems-based methods to reduce trauma at rail level crossings. Crashes at railway level crossings continue to cause significant trauma across Australia. Despite being a longstanding safety problem, the design and operation of level crossings has not changed considerably for decades. This research will provide an in-depth understanding of road user, environmental and infrastructure-related factors that influence safety and performance at rail level crossings. This will be used to develop a world-first model of the level crossing system that is needed to support the development of innovative countermeasures that will improve safety. Reductions in the levels of significant trauma at level crossings, and new public policy for level crossing upgrades, are the intended real-world outcomes.Read moreRead less
Managing the risks posed by Artificial General Intelligence. It is widely acknowledged that a failure to implement appropriate controls for the next generation of Artificial Intelligence, Artificial General Intelligence (AGI), could have catastrophic consequences, including in the worst case - the extinction of the human race. This research aims to forecast the risks associated with AGI systems and identify the controls required to ensure that risks and existential threats are minimised. The exp ....Managing the risks posed by Artificial General Intelligence. It is widely acknowledged that a failure to implement appropriate controls for the next generation of Artificial Intelligence, Artificial General Intelligence (AGI), could have catastrophic consequences, including in the worst case - the extinction of the human race. This research aims to forecast the risks associated with AGI systems and identify the controls required to ensure that risks and existential threats are minimised. The expected outputs will provide designers, organisations, regulators and governments with a framework to support the design, implementation, and management of safe and efficient AGI systems. This will ensure that the potential far-reaching benefits of AGI are realised without undue threat to society.Read moreRead less
Non-medical use of prescription stimulants by Australian university students: attitudes, prevalence of, and motivations for use. This study will provide a comprehensive understanding of student non-medical use of prescription stimulants. The findings will inform initiatives to prevent the abuse and misuse of pharmaceuticals, protect health and reduce the cost associated with inappropriate use of medicines.
A theory-based approach to the design and evaluation of anti-speeding messages to target high risk road users' attitudes and behaviours. The proposed research offers three significant benefits. First, this research will develop an improved approach to aid the design and testing of road safety anti-speeding messages. Second, the research will identify the most effective advertising messages for different groups of drivers at risk of being involved in road-related trauma such as young males. Third ....A theory-based approach to the design and evaluation of anti-speeding messages to target high risk road users' attitudes and behaviours. The proposed research offers three significant benefits. First, this research will develop an improved approach to aid the design and testing of road safety anti-speeding messages. Second, the research will identify the most effective advertising messages for different groups of drivers at risk of being involved in road-related trauma such as young males. Third, through improving the persuasiveness of anti-speeding advertising messages, the research may contribute to a reduction in the extent to which drivers engage in speeding which, in turn, may lessen speeding-related road trauma which would have significant benefits not only for road safety but for public health more broadly. Read moreRead less
Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to u ....Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to understand the underlying mechanisms of pattern discrimination. The project will also test how robust this ability is during changes in water quality (elevated carbon dioxide levels and increased turbidity). The outcomes will further our knowledge base in lower vertebrate vision and evolution, and also have implications for human vision, image analysis, and artificial vision.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC210100019
Funder
Australian Research Council
Funding Amount
$4,583,816.00
Summary
ARC Training Centre for Optimal Ageing. The ARC Training Centre for Optimal Ageing aims to address issues identified by older adults as essential for quality of life. With our industry partners, we aim to train the next generation of researchers to understand, detect and improve psychosocial factors that support mental activity, physical health and social connectedness, and embrace advances in artificial intelligence, digital-enriched environments and adaptive workplaces to deliver effective dig ....ARC Training Centre for Optimal Ageing. The ARC Training Centre for Optimal Ageing aims to address issues identified by older adults as essential for quality of life. With our industry partners, we aim to train the next generation of researchers to understand, detect and improve psychosocial factors that support mental activity, physical health and social connectedness, and embrace advances in artificial intelligence, digital-enriched environments and adaptive workplaces to deliver effective digital solutions. By developing new capacity and capability to drive the digital transformation of industries supporting our ageing population, our Centre seeks to deliver economic and social benefits that enable Australians to live enriched, healthy and independent lives as they age.Read moreRead less
Individualised predictions of circadian timing, sleep, and performance. The body's 24-hour clock regulates when we feel sleepy or alert. In shift workers, disrupted sleep and rhythms leads to fatigue and costly, often deadly, workplace accidents. Existing methods for measuring body clock timing are costly, impractical for operational settings, and do not work in real time. Using a shift-worker population, this project will develop models that accurately predict body timing, sleep/wake patterns, ....Individualised predictions of circadian timing, sleep, and performance. The body's 24-hour clock regulates when we feel sleepy or alert. In shift workers, disrupted sleep and rhythms leads to fatigue and costly, often deadly, workplace accidents. Existing methods for measuring body clock timing are costly, impractical for operational settings, and do not work in real time. Using a shift-worker population, this project will develop models that accurately predict body timing, sleep/wake patterns, and performance for an individual, requiring only a simple activity/light sensor and an assessment of the body clock's sensitivity to light. The new model would revolutionise fatigue management and make safer work environments for millions of shift workers. Read moreRead less
Pathways to social cohesion and social change: opinion-based groups and the dynamic formation of identities. This project will update the understanding of political conflict by exploring groups based around shared opinions. It will show that groups are likely to be more successful in their political campaigns when they tie their causes to national and other positive identifies.
Multimodal testing for a fast subcortical route for salient visual stimuli. This project aims to uncover links between underlying brain circuitry, uncertainty and consciousness, and perceptions of fear. The project will use a multi-modal combination of brain imaging and neural recording techniques to generate new knowledge about the brain’s processing of biologically relevant information. The expected outcomes will enhance our knowledge of how the brain rapidly and non-consciously prepares the ....Multimodal testing for a fast subcortical route for salient visual stimuli. This project aims to uncover links between underlying brain circuitry, uncertainty and consciousness, and perceptions of fear. The project will use a multi-modal combination of brain imaging and neural recording techniques to generate new knowledge about the brain’s processing of biologically relevant information. The expected outcomes will enhance our knowledge of how the brain rapidly and non-consciously prepares the body for potential escape behaviours and of the brain pathways engaged in fear perception. The outcomes have the potential to inform strategies for overcoming anxiety and its effects on daily life, social interactions and workplace productivity.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101097
Funder
Australian Research Council
Funding Amount
$395,127.00
Summary
Treatment-induced compulsive behaviours: Ethical and policy implications. Compulsive behaviours represent one of the largest preventable burdens in society. Some medications, such as those used to treat Parkinson's disease, can produce severe compulsions in certain individuals, which are akin to addiction. This project will explore: neurocognitive changes caused by these medications; the impact that drug-induced compulsive behaviours have on affected individuals, their sense of agency, identity ....Treatment-induced compulsive behaviours: Ethical and policy implications. Compulsive behaviours represent one of the largest preventable burdens in society. Some medications, such as those used to treat Parkinson's disease, can produce severe compulsions in certain individuals, which are akin to addiction. This project will explore: neurocognitive changes caused by these medications; the impact that drug-induced compulsive behaviours have on affected individuals, their sense of agency, identity and moral responsibility; and the ethical, legal and policy consequences of drug-induced behaviour. This project will help us to understand the neuropsychology of compulsive behaviour and reduce its occurrence. It will also enable society to meet the ethical and policy challenges raised by neuroscience research on compulsive behaviour.Read moreRead less