Child Dental Benefit Policies and the Health of Australian Children. This project aims to examine the early effects of two recent initiatives by the Australian government to improve children’s dental health by providing funds to cover essential dental services for children from disadvantaged families. It explores the factors affecting eligible children’s access to benefits from these initiatives and identifies the causal impacts of these changed health care financing arrangements on children’s c ....Child Dental Benefit Policies and the Health of Australian Children. This project aims to examine the early effects of two recent initiatives by the Australian government to improve children’s dental health by providing funds to cover essential dental services for children from disadvantaged families. It explores the factors affecting eligible children’s access to benefits from these initiatives and identifies the causal impacts of these changed health care financing arrangements on children’s consumption of dental services, indicators of oral health and general health, and other indicators of cognitive and non-cognitive development. Using advanced econometric techniques and panel datasets, this project is expected to contribute to the development of effective policies for promoting health and wellbeing.Read moreRead less
The online future of Science and Engineering education: The essential elements of laboratory-based learning for remote-access implementation. Laboratory classes are a critical part of science and engineering degree programs, but there has been little research into what actually takes place within them. Remote laboratories, in which students control equipment via the internet, are one potential solution for accommodating rising numbers of students, but the interfaces must be developed to effectiv ....The online future of Science and Engineering education: The essential elements of laboratory-based learning for remote-access implementation. Laboratory classes are a critical part of science and engineering degree programs, but there has been little research into what actually takes place within them. Remote laboratories, in which students control equipment via the internet, are one potential solution for accommodating rising numbers of students, but the interfaces must be developed to effectively support student learning. This project will investigate how students interact with equipment, each other, and with laboratory demonstrators in order to determine the crucial components of effective laboratory learning experiences. It will identify and characterise the interactions of students in laboratory classes, and develop mechanisms to support these interactions remotely.Read moreRead less
Designing for uncertainty in conservation auctions. Economic theory and case study evidence show that tenders or auctions are more efficient than grant mechanisms for encouraging landholders to produce environmental outcomes on private land. These studies have ignored the effects of uncertainty of both bidders and administrators about factors such as landholder participation and the level of environmental benefits that will be delivered. This project will test whether distributing environmental ....Designing for uncertainty in conservation auctions. Economic theory and case study evidence show that tenders or auctions are more efficient than grant mechanisms for encouraging landholders to produce environmental outcomes on private land. These studies have ignored the effects of uncertainty of both bidders and administrators about factors such as landholder participation and the level of environmental benefits that will be delivered. This project will test whether distributing environmental funds via tenders is still efficient when uncertainty about various important factors is considered. Results from this research are expected to inform the cost effective design of systems to pay landholders for the provision of environmental benefits even when there is high uncertainty.Read moreRead less
Benefits and costs of non-market valuation for environmental management. Benefits from environmental policies are often unpriced “non-market values” (NMVs). Environmental agencies struggle to know how best to measure these relatively intangible benefits, but doing so is important to ensure value for money from public investments. Environmental economists have developed and applied a wide range of methods for estimating NMVs. The methods vary in their comprehensiveness, accuracy and cost. Yet no ....Benefits and costs of non-market valuation for environmental management. Benefits from environmental policies are often unpriced “non-market values” (NMVs). Environmental agencies struggle to know how best to measure these relatively intangible benefits, but doing so is important to ensure value for money from public investments. Environmental economists have developed and applied a wide range of methods for estimating NMVs. The methods vary in their comprehensiveness, accuracy and cost. Yet no rigorous tool is available to assess (a) which NMV method is best to implement, accounting for its cost and its potential to improve decisions, or (b) whether any NMV method improves decisions enough to warrant its cost. In creating such a tool, this project will deliver a key breakthrough in environmental economics.Read moreRead less
Redesigning Landcare policy to better coordinate across landholders. This project aims to study how landscape-sensitive economic incentives and social norms can be leveraged to enhance the short- and long-term effectiveness of conservation programs. It will yield new knowledge for innovative designs in conservation contracting that is urgently needed to address worsening environmental threats in Australia and worldwide. In collaboration with Nobel laureate Vernon Smith’s team, new methods and pr ....Redesigning Landcare policy to better coordinate across landholders. This project aims to study how landscape-sensitive economic incentives and social norms can be leveraged to enhance the short- and long-term effectiveness of conservation programs. It will yield new knowledge for innovative designs in conservation contracting that is urgently needed to address worsening environmental threats in Australia and worldwide. In collaboration with Nobel laureate Vernon Smith’s team, new methods and protocols will improve our ability to generate better data and better understand how social and incentive mechanisms can constructively interact to facilitate collaborative environmental action. Results will help make the achievement of environmental targets and the use of public funds more cost-effective. Read moreRead less
Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are inn ....Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are innovative semi-automated nephron visualisation and quantitation tools that enable efficient renal phenotyping. Techniques tailored to widely accessible preclinical research scanners are expected to accelerate research into genetic and environmental factors affecting kidney microstructure in embryonic and post-natal life.Read moreRead less
Predicting strength of porous materials. This project aims to develop a predictive theory of strength for unflawed, low-ductile porous materials – an unsolved problem in computational solid mechanics. Three-dimensional printing of lightweight, porous materials is used in industry, medicine and science. The project will develop the theory and conduct experiments on porous metallic and polymeric samples made using additive manufacturing, which require understanding and optimisation of the building ....Predicting strength of porous materials. This project aims to develop a predictive theory of strength for unflawed, low-ductile porous materials – an unsolved problem in computational solid mechanics. Three-dimensional printing of lightweight, porous materials is used in industry, medicine and science. The project will develop the theory and conduct experiments on porous metallic and polymeric samples made using additive manufacturing, which require understanding and optimisation of the building of fine scale features. Understanding strength should improve design of stronger materials, by using and extending the capabilities of three-dimensional printing. These advances will further provide a much-needed basis for a fundamental understanding of fracture in other porous materials important to society such as concrete, rocks, porous ceramics and bone implants.Read moreRead less
Biomechanics Meets Robotics: Methods for Accurate and Fast Needle Targeting. This project intends to create a novel integrated framework for biomedical systems that can accurately target a needle. Accurate surgical targeting means less trauma and better patient outcomes. Needles are used in over half of all surgical procedures, but up to 38 per cent of these are affected by targeting errors. Achieving sub-millimetre accuracy is extremely difficult because inserting a needle displaces the tissue ....Biomechanics Meets Robotics: Methods for Accurate and Fast Needle Targeting. This project intends to create a novel integrated framework for biomedical systems that can accurately target a needle. Accurate surgical targeting means less trauma and better patient outcomes. Needles are used in over half of all surgical procedures, but up to 38 per cent of these are affected by targeting errors. Achieving sub-millimetre accuracy is extremely difficult because inserting a needle displaces the tissue and moves the target. How, then, can ultra-fine targeting be achieved? This project plans to integrate non-linear biomechanical models that predict tissue motion with accurate and principled motion control. It seeks to create new methods for surgical robots that will predict target motion and guide a needle to accurately intersect the target.Read moreRead less