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The role of social-emotional learning in attaining literacy and numeracy. This project aims to characterise variability in developmental pathways to literacy and numeracy, and the factors that contribute to this variation, utilising innovative analytical approaches and population data. This project expects to generate new knowledge regarding the role of school-based social-emotional learning programs in supporting children’s achievement of literacy and numeracy. Expected outcomes of the project ....The role of social-emotional learning in attaining literacy and numeracy. This project aims to characterise variability in developmental pathways to literacy and numeracy, and the factors that contribute to this variation, utilising innovative analytical approaches and population data. This project expects to generate new knowledge regarding the role of school-based social-emotional learning programs in supporting children’s achievement of literacy and numeracy. Expected outcomes of the project include enhanced collaboration with government to deliver policy-relevant information on the most effective targets and timing for delivering social-emotional programs that maximise academic learning. This should assist policy makers to develop better strategies to support every child’s academic achievement.Read moreRead less
Modelling and manipulating brain network dynamics across the lifespan. This project aims to integrate advanced computational modelling and state-of-the-art recording techniques to generate new knowledge on the neural basis of ageing. People are said to grow wiser as they grow older, though more likely they will experience cognitive slowing and reduced memory functions that interfere with their daily lives. The anticipated goal of the project is to develop techniques to predict the personalised e ....Modelling and manipulating brain network dynamics across the lifespan. This project aims to integrate advanced computational modelling and state-of-the-art recording techniques to generate new knowledge on the neural basis of ageing. People are said to grow wiser as they grow older, though more likely they will experience cognitive slowing and reduced memory functions that interfere with their daily lives. The anticipated goal of the project is to develop techniques to predict the personalised effects of brain stimulation on the ageing brain. The outcomes of this research could significantly improve understanding of brain ageing, and advance the fields of systems neuroscience, network science, and brain stimulation.Read moreRead less
Everyday autism: bridging the gap between lab and life. Recent research demonstrates that autistic people, their families and professionals often feel that there remains a sharp divide between autism science and key aspects of everyday autistic life, despite significant public investment in that science. This proposed research investigates reasons for this divide and proposes ways in which it might be overcome. Expected outcomes include greater opportunities for autistic people to play active ro ....Everyday autism: bridging the gap between lab and life. Recent research demonstrates that autistic people, their families and professionals often feel that there remains a sharp divide between autism science and key aspects of everyday autistic life, despite significant public investment in that science. This proposed research investigates reasons for this divide and proposes ways in which it might be overcome. Expected outcomes include greater opportunities for autistic people to play active roles in the research process and more scientific experimentation that moves out of the laboratory and into more true-to-life settings. Bridging the gap between lab and life will result in better theory-building on autism, better translation of scientific discoveries and more robust policy recommendations.Read moreRead less
The processing of fear in the medial temporal lobe. The aim of this project is to identify how fear affects information processing in the medial temporal lobe (MTL). It is significant in providing the first systematic assessment of how fear alters processing of different types of information in the MTL, including the innocuous; and how fear affects processing of memories in MTL networks, including their integration. The expected outcomes are basic knowledge regarding these effects of fear, and a ....The processing of fear in the medial temporal lobe. The aim of this project is to identify how fear affects information processing in the medial temporal lobe (MTL). It is significant in providing the first systematic assessment of how fear alters processing of different types of information in the MTL, including the innocuous; and how fear affects processing of memories in MTL networks, including their integration. The expected outcomes are basic knowledge regarding these effects of fear, and a theory of MTL function in which they are explained. The benefit of this knowledge is a better understanding of how information is processed in a normal brain, and therefore, disturbances to information processing in fear-related disorders (e.g., over-generalization of fear in post-traumatic stress).Read moreRead less
The brain in real-time: predicting the present, reconstructing the past. This proposal aims to understand how the brain compensates for its own internal delays to function in real-time. Because it takes time for information from the senses to reach the brain, it takes time for us to become aware of an event that occurs in the outside world. This project will use an innovative combination of techniques to study how prediction and reconstruction mechanisms work together in the brain. Expected outc ....The brain in real-time: predicting the present, reconstructing the past. This proposal aims to understand how the brain compensates for its own internal delays to function in real-time. Because it takes time for information from the senses to reach the brain, it takes time for us to become aware of an event that occurs in the outside world. This project will use an innovative combination of techniques to study how prediction and reconstruction mechanisms work together in the brain. Expected outcomes of this project include a fundamental understanding of how we function in the present. This should provide significant benefits, such as an important theoretical advance in our understanding of how conscious awareness is realised in the brain, placing Australia at the cutting edge.Read moreRead less
Drivers and constraints of romantic partner choice. This project aims to illuminate how genetic and environmental factors drive and constrain romantic partner choice. This choice can be the most significant in people’s lives, but how it works is not scientifically understood. This project will analyse the preferences and actual partners of thousands of twins using multivariable statistics and theoretic models of partner choice. The project aims to reveal why some people pair with incompatible pa ....Drivers and constraints of romantic partner choice. This project aims to illuminate how genetic and environmental factors drive and constrain romantic partner choice. This choice can be the most significant in people’s lives, but how it works is not scientifically understood. This project will analyse the preferences and actual partners of thousands of twins using multivariable statistics and theoretic models of partner choice. The project aims to reveal why some people pair with incompatible partners, and the consequences of partner mismatch for psychological wellbeing and for evolutionary processes driven by mate selection. This could lead to more effective relationship management.Read moreRead less
Faces in context: A new ecological paradigm for person identification. Accurate face recognition is critical to normal social functioning of individuals and identity management processes that underpin a secure and fair Australia. Current understanding is based on tests that do not capture the rich context surrounding person identification in daily life. This project aims to introduce new methods for observing person identification in daily life and real-world tasks that are critical to border se ....Faces in context: A new ecological paradigm for person identification. Accurate face recognition is critical to normal social functioning of individuals and identity management processes that underpin a secure and fair Australia. Current understanding is based on tests that do not capture the rich context surrounding person identification in daily life. This project aims to introduce new methods for observing person identification in daily life and real-world tasks that are critical to border security, criminal investigations and the justice system. Expected outcomes include an integrated framework for person identification describing the cognitive mechanisms that link faces to surrounding visual context and the viewer’s background knowledge. Benefits in forensic, security and legal settings are expected.Read moreRead less
Understanding the neural basis of gaze behaviour in the human brain. Selecting where to look is a necessary step in human vision that is vital for guiding social behaviours. For example, although we inadvertently look toward faces in our environment, especially faces expressing emotion, we do not know how this is accomplished. This project aims to define the mechanisms responsible for detecting and prioritising faces in the human brain. The results are expected to advance our understanding of ho ....Understanding the neural basis of gaze behaviour in the human brain. Selecting where to look is a necessary step in human vision that is vital for guiding social behaviours. For example, although we inadvertently look toward faces in our environment, especially faces expressing emotion, we do not know how this is accomplished. This project aims to define the mechanisms responsible for detecting and prioritising faces in the human brain. The results are expected to advance our understanding of how vision operates in daily life, and augment theories of how the prioritisation of social cues might differ in people living with Anxiety disorders. It is anticipated that the project outcomes will also inform the development of artificial vision systems that can interpret social meaning in visual environments.
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Adapting Automation Transparency to Allow Accurate Use by Humans . The project will conduct the human factors research urgently required to discover how best to make automation in high-risk work settings more transparent and usable by humans. In safety-critical work contexts such as defence and aviation, automated decision aids improve human decision-making. Unfortunately however, catastrophic accidents have occurred because human operators have either not followed correct automated advice, or f ....Adapting Automation Transparency to Allow Accurate Use by Humans . The project will conduct the human factors research urgently required to discover how best to make automation in high-risk work settings more transparent and usable by humans. In safety-critical work contexts such as defence and aviation, automated decision aids improve human decision-making. Unfortunately however, catastrophic accidents have occurred because human operators have either not followed correct automated advice, or followed incorrect automated advice. A series of human factors studies using unmanned vehicle control, air traffic control, and submarine track management tasks (including testing experts in field settings) will discover how best to design transparent automation that can be safely and efficiently used by humans.Read moreRead less
Improving workplace productivity via an AI-based physical activity chatbot . This project aims to develop, train and evaluate a physical activity chatbot using artificial intelligence and machine learning to improve workplace productivity in sedentary office workers. Productivity losses, due to high numbers of physically inactive workers, cost the Australian economy $14 billion per year. The cost of effective and scalable workplace physical activity programs acts as a barrier to their implementa ....Improving workplace productivity via an AI-based physical activity chatbot . This project aims to develop, train and evaluate a physical activity chatbot using artificial intelligence and machine learning to improve workplace productivity in sedentary office workers. Productivity losses, due to high numbers of physically inactive workers, cost the Australian economy $14 billion per year. The cost of effective and scalable workplace physical activity programs acts as a barrier to their implementation. As such, innovative programs that can reach large numbers of workers at minimal cost are needed. This project aims to generate new knowledge on the use of artificial intelligence to achieve behavioural improvements and will lead to the development of a new type of behaviour change program with broad applicability.
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