Applying search theory for eradicating invasive species. Invasive species have major economic and environmental impacts in Australia and are a major cause of extinctions worldwide. Monitoring is crucial for the timely control of invasive species in sensitive environments. Early detection increases the probability of eradication and increased accuracy in detection reduces the impact of control programs on non-target species. Efficient monitoring also is crucial in determining whether eradication ....Applying search theory for eradicating invasive species. Invasive species have major economic and environmental impacts in Australia and are a major cause of extinctions worldwide. Monitoring is crucial for the timely control of invasive species in sensitive environments. Early detection increases the probability of eradication and increased accuracy in detection reduces the impact of control programs on non-target species. Efficient monitoring also is crucial in determining whether eradication has succeeded. Search Theory has been applied for over 60 years in a wide range of non-biological monitoring problems, resulting in large increases in target detection rates. Gains of a similar magnitude in invasive species detection would greatly enhance Australia's capacity to manage these threats.Read moreRead less
Improving external validity of stated choice experiments. This project aims to deliver more accurate estimates of choice behaviour by reducing biases due to choice task complexity in surveys as well as design artefacts. Extracting 'true' preferences is challenging, not only due to possible hypothetical bias, but also due to increasingly complex choice tasks and the existence of design artefacts. This project will investigate the latter two in the context of marketing, transport, health, and envi ....Improving external validity of stated choice experiments. This project aims to deliver more accurate estimates of choice behaviour by reducing biases due to choice task complexity in surveys as well as design artefacts. Extracting 'true' preferences is challenging, not only due to possible hypothetical bias, but also due to increasingly complex choice tasks and the existence of design artefacts. This project will investigate the latter two in the context of marketing, transport, health, and environmental economics, and proposes new methodologies to extract preferences that more closely reflect true behaviour in real markets.Read moreRead less
Developing the capacity to model the impact of interventions that target high-risk drinking among young Australians. Alcohol use is a major contributing factor to social and health problems among young Australians. The project will inform the development of effective policy by providing multidisciplinary research evidence and the capacity to model how various interventions impact on the prevalence of alcohol-related problems.
A disease of the brain: how do neurobiological explanations of addiction influence the attitudes and behaviour of smokers? This project explores the impact of promoting addiction as a "brain disease" on smokers' confidence in their ability to quit smoking, and the methods they use to quit. This is essential to inform public health policies designed to reduce the burden of tobacco related harms.
Development of Control Methodologies for Drug Dosing in Biomedical Engineering. This research proposal is very relevant to the National Research Priorities in the areas of Frontier Technologies and Breakthrough science. At a broader level, we aim to assist in the development of a national competence in what has been an emerging and promising discipline. The research will develop fundamental and enabling laws and techniques for drug administration to regulate physiological variables such as blood ....Development of Control Methodologies for Drug Dosing in Biomedical Engineering. This research proposal is very relevant to the National Research Priorities in the areas of Frontier Technologies and Breakthrough science. At a broader level, we aim to assist in the development of a national competence in what has been an emerging and promising discipline. The research will develop fundamental and enabling laws and techniques for drug administration to regulate physiological variables such as blood pressure and degree of consciousness in critical care patients.Read moreRead less
Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored ....Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.Read moreRead less