Discovery Early Career Researcher Award - Grant ID: DE220100456
Funder
Australian Research Council
Funding Amount
$375,288.00
Summary
The interaction between injury compensation and social security systems. With the ultimate goal of reducing the road traffic crash burden in Australia, on individuals, their families, and on the nation's social support systems, the project will determine the impact of pre-claim social factors on compensation system outcomes including claim duration, benefits and costs, and the impact of compensation system design on claim and social outcomes of road traffic crash survivors. Addressing an unmet n ....The interaction between injury compensation and social security systems. With the ultimate goal of reducing the road traffic crash burden in Australia, on individuals, their families, and on the nation's social support systems, the project will determine the impact of pre-claim social factors on compensation system outcomes including claim duration, benefits and costs, and the impact of compensation system design on claim and social outcomes of road traffic crash survivors. Addressing an unmet need, this project will determine the impact of macro-level compensation system design on social and claim outcomes and allows identification of groups at higher risk for poor post-crash outcomes, in whom earlier identification and intervention can improve these, and potentially save the Australian economy $300m annually.Read moreRead less
Stability of Generalised Equations and Variational Systems. This project seeks to advance a new mathematical theory of variational analysis which may lead to applications in optimisation. The emphasis will be on extensions of regularity concepts appropriate for studying stability (the ‘radius of good behaviour’) of solutions to optimisation problems, particularly those of semi-infinite optimisation and programs with equilibrium constraints, when standard assumptions are not satisfied. The expect ....Stability of Generalised Equations and Variational Systems. This project seeks to advance a new mathematical theory of variational analysis which may lead to applications in optimisation. The emphasis will be on extensions of regularity concepts appropriate for studying stability (the ‘radius of good behaviour’) of solutions to optimisation problems, particularly those of semi-infinite optimisation and programs with equilibrium constraints, when standard assumptions are not satisfied. The expected outcomes may have an impact in enhancing the convergence of numerical methods and facilitating the post-optimal analysis of solutions. It may also generate new tools for increasing efficiencies and cost reductions in engineering, logistics, economics, financial systems, and environmental science.Read moreRead less
Redesigning workers’ compensation using participatory systems modelling. This project will use participatory system modelling techniques to develop and test new approaches to the design and delivery of workers' compensation in Australia. The project responds to the substantial evidence that Australia’s workers' compensation systems are failing to achieve their social and economic objectives. We will actively engage people with lived experience of work disability to co-design an alternative worke ....Redesigning workers’ compensation using participatory systems modelling. This project will use participatory system modelling techniques to develop and test new approaches to the design and delivery of workers' compensation in Australia. The project responds to the substantial evidence that Australia’s workers' compensation systems are failing to achieve their social and economic objectives. We will actively engage people with lived experience of work disability to co-design an alternative workers' compensation system. The outcomes of this system will be assessed using agent-based modelling, and compared to the current state. The study will provide a vision for an alternative approach to workers' compensation that supports the social and economic participation of Australians with work disability.
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New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This ....New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This will provide significant benefits to all fields in which data displays any form of trending behaviour. The proposed model is used to evaluate the economic consequences of climate change and global housing market contagion, which provide strong evidence-based insights to the environmental and economic policies in Australia.Read moreRead less
Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particl ....Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particle clustering. Computational modelling and experimental investigations will be undertaken to identify the heat transfer mechanisms of various nanofluids. The outcomes of the work will increase knowledge on nanofluids and offer a significant opportunity to improve the efficiency of many thermal engineering systems.Read moreRead less