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
Quantitative metrics for determining aquifer ecosystem state. Clean groundwater comes from dirty surface water by way of biological purification. This project will develop quantitative ways to assess groundwater ecosystems to ensure the sustainable extraction of water and maintenance of these crucial ecosystems.
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
Bad tastes, odours and toxins in our drinking water reservoirs: are benthic cyanobacteria the culprits? Cyanobacteria (blue-green algae) produce toxins and bad tastes that contaminate drinking water sources, cause public concern about water quality. This project will address a critical knowledge gap by investigating species that grow on the sediments of reservoirs, thus providing more comprehensive management solutions to the water industry.
Increasing the rural medical workforce: investigating personal traits to enhance our understanding and improve training of rural registrars. This project will research new methodologies for increasing the number of rural doctors in Australia. A better understanding of those individuals best suited for rural practice will provide value for money to the Government by making the most efficient use of initiatives to increase recruitment and retention of the rural workforce.
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
Uncovering the processes underlying human reasoning: A state-trace approach. This project aims to answer the most important unresolved question in the psychology of reasoning; how many distinct cognitive processes underlie human reasoning? To answer this question, this project aims to conduct an extensive experimental investigation of the factors that selectively impact inductive and deductive inferences and the application of high-dimensional state-trace analysis; a powerful new method for diag ....Uncovering the processes underlying human reasoning: A state-trace approach. This project aims to answer the most important unresolved question in the psychology of reasoning; how many distinct cognitive processes underlie human reasoning? To answer this question, this project aims to conduct an extensive experimental investigation of the factors that selectively impact inductive and deductive inferences and the application of high-dimensional state-trace analysis; a powerful new method for diagnosing underlying processes from behavioural data. The project is expected also to develop a new computational model that accounts for both inductive and deductive forms of reasoning.Read moreRead less
Investigation of recognition memory in behavioural, electrophysiological, and functional neuro-imaging domains using state-trace analysis. This project utilises a novel methodology to investigate human recognition memory across three separate domains - behavioural, electrophysiological and functional neuro-imaging. The aim is to determine how these three aspects of memory are related and if they can be united by a single theory.
ARC/NHMRC Research Network in Ageing Well. The ARC Research Network on Ageing Well will support interdisciplinary, high quality research in the National Research Priority Goal of Ageing Well, Ageing Productively. It will build scale and focus on Australia's notable research strengths in ageing, promote collaborative research, and extend research capacities. The Network will link outstanding researchers from many disciplines, nurture developing researchers, relate social to health researchers, s ....ARC/NHMRC Research Network in Ageing Well. The ARC Research Network on Ageing Well will support interdisciplinary, high quality research in the National Research Priority Goal of Ageing Well, Ageing Productively. It will build scale and focus on Australia's notable research strengths in ageing, promote collaborative research, and extend research capacities. The Network will link outstanding researchers from many disciplines, nurture developing researchers, relate social to health researchers, strengthen international collaboration, and involve and inform end-point users. It will foster research which responds to the aspirations and needs of older Australians and informs action that can improve experiences of individual and population ageing.Read moreRead less
Uncovering the processes underlying human category learning. There is a pervasive belief that complex tasks can somehow be learned via a 'smart' implicit or procedural learning mechanism, which operates independently of memory and attention. This idea has important implications for our understanding of cognition. If true, there seems little point in providing explicit instruction in such tasks, and efforts to do so are, at best, wasted time and, at worst, detrimental to the learning process. Th ....Uncovering the processes underlying human category learning. There is a pervasive belief that complex tasks can somehow be learned via a 'smart' implicit or procedural learning mechanism, which operates independently of memory and attention. This idea has important implications for our understanding of cognition. If true, there seems little point in providing explicit instruction in such tasks, and efforts to do so are, at best, wasted time and, at worst, detrimental to the learning process. This project will provide much-needed scrutiny of this idea and will help not only to re-orient our understanding of how we deal with complex information, but will also highlight issues about data interpretation that are fundamental for the research and wider communities.Read moreRead less