Linking human brain structure to function with ultra-high resolution fMRI. This project will examine the structure and function of the sensory cortex of the human brain using ultra-high resolution functional magnetic resonance imaging (7 Tesla MRI). The project pushes new boundaries for resolution with ultra-high field MRI (7 Tesla) and, as such, will advance techniques for the acquisition, analysis, and computational modelling of high-resolution fMRI brain imaging, providing detail of the funct ....Linking human brain structure to function with ultra-high resolution fMRI. This project will examine the structure and function of the sensory cortex of the human brain using ultra-high resolution functional magnetic resonance imaging (7 Tesla MRI). The project pushes new boundaries for resolution with ultra-high field MRI (7 Tesla) and, as such, will advance techniques for the acquisition, analysis, and computational modelling of high-resolution fMRI brain imaging, providing detail of the functional organisation of the sensory cortex at a level never previously possible in the living human brain. This will provide new understanding of the neural-level networks that underpin attention and touch perception in the human brain.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
The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100050
Funder
Australian Research Council
Funding Amount
$570,000.00
Summary
Integrated facility for recording driver and road user behaviour. The integrated facility will be used to record and analyse data on driver and road user behaviour, in normal and safety-critical situations, for thousands of Australian drivers. The data yielded will be used to develop new and improved countermeasures for reducing road deaths and serious injuries on Australian roads.
Dynamic social systems and adolescent alcohol/tobacco use: A new cusp catastrophe model. This research will substantially improve our understanding of the development of adolescent high-risk behaviours. It will directly inform multimodal prevention strategies by demonstrating how substance use, peer factors, and parent relationships unfold over time. This is much needed because most prevention strategies are too simplistic to address complex precursors to alcohol/tobacco use. The research wil ....Dynamic social systems and adolescent alcohol/tobacco use: A new cusp catastrophe model. This research will substantially improve our understanding of the development of adolescent high-risk behaviours. It will directly inform multimodal prevention strategies by demonstrating how substance use, peer factors, and parent relationships unfold over time. This is much needed because most prevention strategies are too simplistic to address complex precursors to alcohol/tobacco use. The research will benefit health researchers in and beyond Australia who seek to understand behaviours that do not adhere to conventional assumptions. Collaboration with researchers from leading national and international centres will enhance Australia's research reputation and will attract postgraduates and researchers to Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101340
Funder
Australian Research Council
Funding Amount
$362,103.00
Summary
A new state of the art for understanding dynamic self-regulation. This project aims to develop and test a novel mathematical model that explains how people manage competing demands on their time and effort in a dynamic and uncertain environment. The project will use an integrative approach, bringing recent advances in mathematical psychology to bear on a problem of widespread interest within industrial and organisational psychology. The expected outcome is a quantitative theory that achieves a l ....A new state of the art for understanding dynamic self-regulation. This project aims to develop and test a novel mathematical model that explains how people manage competing demands on their time and effort in a dynamic and uncertain environment. The project will use an integrative approach, bringing recent advances in mathematical psychology to bear on a problem of widespread interest within industrial and organisational psychology. The expected outcome is a quantitative theory that achieves a level of precision, generality, and testability that is unmatched in the field. The project will provide the basic research that is needed to extend mathematical models of self-regulation to complex tasks involving rapid decision making.Read moreRead less
Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in c ....Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in complex dynamic systems. The expected outcomes include an improved capacity for researchers, managers, and policy makers to understand complex organisational, economic, and health systems. This will provide immediate societal benefits by informing the development and deployment of targeted interventions in such systems.Read moreRead less
Drivers' Behavioural Responses to Traffic Signs. Traffic signs are ubiquitous in the road environment; research to improve their effectiveness can be very cost-effective in terms of safety improvements. Conducting traffic sign research on real roads has many difficulties, such as ethical considerations and lack of control. To overcome this, the research will be conducted in a driving simulator, in which the interaction between drivers and their equipment/environment will be studied. The aim of ....Drivers' Behavioural Responses to Traffic Signs. Traffic signs are ubiquitous in the road environment; research to improve their effectiveness can be very cost-effective in terms of safety improvements. Conducting traffic sign research on real roads has many difficulties, such as ethical considerations and lack of control. To overcome this, the research will be conducted in a driving simulator, in which the interaction between drivers and their equipment/environment will be studied. The aim of this project is to further understand drivers? behavioural responses to traffic signs, the expected outcome being to make the exchange of information between the driver and traffic sign as smooth and efficient as possible.Read moreRead less
Single and dual process models of recognition memory: Reconciliation of behavioural, electrophysiological, and neuroimaging data. Advanced brain scanning technologies are increasingly used to study human memory. As well as being important for our basic understanding of memory, they also tell us how memory is affected by normal development, ageing, disease, and injury. Unfortunately, because these technologies are so new, a gap has opened up between our psychological understanding of memory and t ....Single and dual process models of recognition memory: Reconciliation of behavioural, electrophysiological, and neuroimaging data. Advanced brain scanning technologies are increasingly used to study human memory. As well as being important for our basic understanding of memory, they also tell us how memory is affected by normal development, ageing, disease, and injury. Unfortunately, because these technologies are so new, a gap has opened up between our psychological understanding of memory and the physiological events measured by the scanning technologies. This has created a problem for how we should interpret the results that are found. The present project aims to close this gap by applying new research methodologies and theoretical insights based on our previous research.Read moreRead less
Using self-report data to predict crash risk: how accurate is it and how can it best be used? The aim of this project is to develop better methods to collect self-reported data about motorists' driving behaviour in order to understand the factors associated with road crashes. The results will not only assist to identify 'at risk' drivers but also inform interventions designed to reduce crashes on Australian roads.