Predicting health, well-being, and educational success in emerging adults: An 8 year longitudinal study. This project will inform the community about factors that affect the psychological, physical, academic, and employment outcomes of emerging adults. It will improve our knowledge of why some young people do not reach their full potential. The project will provide a comprehensive assessment of factors associated with well-being across several domains. It will better equip and assist professiona ....Predicting health, well-being, and educational success in emerging adults: An 8 year longitudinal study. This project will inform the community about factors that affect the psychological, physical, academic, and employment outcomes of emerging adults. It will improve our knowledge of why some young people do not reach their full potential. The project will provide a comprehensive assessment of factors associated with well-being across several domains. It will better equip and assist professionals to identify early those youth at risk of having poor psychological, health, and employment prospects post-school. The project will inform the development of intervention programs for young people and maximise their overall adjustment and well-being several years later.Read moreRead less
How are beliefs altered by data? Robust Bayesian models for human inductive learning. This project applies state of the art mathematical models to study how people think and reason, and how we can make good guesses about the future. The goal is to understand how the human mind can operate so effectively in real environments, when even the most powerful computers struggle to handle the complexities of everyday learning problems.
Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoret ....Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoretically, the project aims to use tools from machine learning to compare human decision making to optimal planning models.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101029
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Responding to humanitarian emergencies: mass generosity as collective action. The world has witnessed a string of disasters that, at times, appear to have pushed the human capacity for generosity to its limits. This ground-breaking psychological research explores ways to help government and nongovernment agencies to build broader support in Australian society for efforts to respond to humanitarian emergencies.
Truncating presenilin mutations and their effects on gamma-secretase activity, tau and beta-catenin - insights into Alzheimers disease and cancer. Cancer and dementia are primarily afflictions of the aged and are increasingly important in an aging Australian population. 95% of all Alzheimer's disease is spontaneous (not inherited) but we know little about the molecular mechanisms underlying it. Our discovery that truncated presenilin proteins potently inhibit normal protein function suggests tha ....Truncating presenilin mutations and their effects on gamma-secretase activity, tau and beta-catenin - insights into Alzheimers disease and cancer. Cancer and dementia are primarily afflictions of the aged and are increasingly important in an aging Australian population. 95% of all Alzheimer's disease is spontaneous (not inherited) but we know little about the molecular mechanisms underlying it. Our discovery that truncated presenilin proteins potently inhibit normal protein function suggests that changes in presenilin function in aged cells might be a common molecular link between spontaneous and inherited Alzheimer's disease and could contribute to frontotemporal dementia and cancer. Our research will show whether this phenomenon might provide a breakthrough in our understanding of these diseases and be a productive area for research into their amelioration and/or prevention.Read moreRead less
The prediction of sleep/wake behaviour based on physiological and social factors. The prevalence of shiftwork has increased in Australia over the last few decades. Shiftworkers obtain less sleep, have greater difficulty maintaining good relationships, have poorer health, and are more likely to be injured at work than others. Using the largest dataset of its kind, we will substantially contribute to understanding the relationships between work hours, sleep, performance and safety. Ultimately, the ....The prediction of sleep/wake behaviour based on physiological and social factors. The prevalence of shiftwork has increased in Australia over the last few decades. Shiftworkers obtain less sleep, have greater difficulty maintaining good relationships, have poorer health, and are more likely to be injured at work than others. Using the largest dataset of its kind, we will substantially contribute to understanding the relationships between work hours, sleep, performance and safety. Ultimately, the project will answer a question critical to workplace safety - how much time off between shifts is needed to be alert and safe at work? The project will also produce tools to help industry design fatigue-friendly rosters, improving the safety, productivity and general well-being of shiftworkers in Australia and overseas.Read moreRead less
Using large scale modelling to understand reading development and dyslexia. This project aims to construct a computational model of reading that makes quantitative predictions about reading behaviour and dyslexia. It will test theories of reading development and dyslexia based on what they predict in terms of reading performance, predictions which many theories of dyslexia do not make. The model will be in English, French and Italian, which offer rich and constraining data to test the model. The ....Using large scale modelling to understand reading development and dyslexia. This project aims to construct a computational model of reading that makes quantitative predictions about reading behaviour and dyslexia. It will test theories of reading development and dyslexia based on what they predict in terms of reading performance, predictions which many theories of dyslexia do not make. The model will be in English, French and Italian, which offer rich and constraining data to test the model. The project is expected to explain the link between reading performance and underlying influences and why dyslexia manifests differently in different languages.Read moreRead less
Human Decision-Making Processes and Outcomes in the Oil and Gas Industry. A new theoretical framework, including a new Decision Taxonomy and the development of a new measure of decision quality, will be used to underpin a study of decision processes and outcomes in the oil & gas industry, and to explore the relationship between them. Processes and outcomes will be evaluated in both a controlled laboratory setting that replicates the characteristics of real decision environments, and by analysing ....Human Decision-Making Processes and Outcomes in the Oil and Gas Industry. A new theoretical framework, including a new Decision Taxonomy and the development of a new measure of decision quality, will be used to underpin a study of decision processes and outcomes in the oil & gas industry, and to explore the relationship between them. Processes and outcomes will be evaluated in both a controlled laboratory setting that replicates the characteristics of real decision environments, and by analysing actual historical decisions made in oil & gas and other industrial settings. If successful the results will ultimately lead to the safe, responsible and optimal performance of the oil & gas industry in particular, and for other industries with similar characteristics.
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A process model of visual working memory. This project aims to develop a process model of encoding of items into memory. Working memory is central to almost all cognitive functions, but little is known about short-term memory for visual information. Progress in this area is slow because of a focus on models that do not specify the processes underlying memory, and no model explains the processes that would limit the number of items the memory can hold to four. A process model is expected to addre ....A process model of visual working memory. This project aims to develop a process model of encoding of items into memory. Working memory is central to almost all cognitive functions, but little is known about short-term memory for visual information. Progress in this area is slow because of a focus on models that do not specify the processes underlying memory, and no model explains the processes that would limit the number of items the memory can hold to four. A process model is expected to address fundamental issues in visual working memory.Read moreRead less
A formal signal detection model of eyewitness identification. The project aims to aid in producing better procedures for the collection and assessment of eyewitness identification evidence. In a police line-up, a witness is asked to identify a perpetrator from a group of similar individuals. Applied research has focused on conditions that optimise witness performance but many of the conclusions from this research have been challenged on the basis that they use inappropriate measures of performan ....A formal signal detection model of eyewitness identification. The project aims to aid in producing better procedures for the collection and assessment of eyewitness identification evidence. In a police line-up, a witness is asked to identify a perpetrator from a group of similar individuals. Applied research has focused on conditions that optimise witness performance but many of the conclusions from this research have been challenged on the basis that they use inappropriate measures of performance. Recent work has highlighted the usefulness of analyses based on the theory of signal detection. However, the line-up task does not fit easily within standard signal detection paradigms as it combines two tasks; detection and identification. The project aims to understand how these components work in order to measure witness performance.Read moreRead less