Inequality, Prosperity and the Australian Welfare State. This project aims to clarify contested understandings of Australian inequality and the role of economic and social policies in addressing policy challenges going forward. The objective of the project is to generate significantly improved knowledge of inequality in Australia using innovative approaches of data splicing, decomposition, simulation and backcasting to fill research gaps and resolve contested interpretations. We aim to provide a ....Inequality, Prosperity and the Australian Welfare State. This project aims to clarify contested understandings of Australian inequality and the role of economic and social policies in addressing policy challenges going forward. The objective of the project is to generate significantly improved knowledge of inequality in Australia using innovative approaches of data splicing, decomposition, simulation and backcasting to fill research gaps and resolve contested interpretations. We aim to provide a benchmark and robust framework against which policy development after the current crisis can be evaluated. This project aims to provide significant benefits, keeping Australia at the forefront of research on inequality and public policy, strengthening links between researchers and policy makers.
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Efficient phylogenetic methods that manage the curse of genomic complexity. This project aims to develop new methods and software to infer the evolutionary history of organisms using genomic data. These new phylogenomic methods need to take account of the complexity of evolutionary processes and/or patterns in time (along the evolutionary tree) and space (along the genome). This project is significant because these methods must merge mathematics and statistics with High-Performance Computing to ....Efficient phylogenetic methods that manage the curse of genomic complexity. This project aims to develop new methods and software to infer the evolutionary history of organisms using genomic data. These new phylogenomic methods need to take account of the complexity of evolutionary processes and/or patterns in time (along the evolutionary tree) and space (along the genome). This project is significant because these methods must merge mathematics and statistics with High-Performance Computing to handle the huge quantities of genetic data and the complexity of evolution itself. An important expected outcome of this project will be the development and release of freely-available software that incorporates these new methods. This project expects to benefit scientists who need to infer phylogenies from genomic data. Read moreRead less
Housing energy efficiency transitions. This project aims to provide an analysis of housing retrofit and its links with household energy costs. It includes householders across eight global urban sites, as well as the businesses that supply retrofit services. The project will analyse the retrofit experience of both energy poor and other households, providing an internationally significant evidence base. Outcomes include a robust empirical evidence base on the implications of retrofit for househol ....Housing energy efficiency transitions. This project aims to provide an analysis of housing retrofit and its links with household energy costs. It includes householders across eight global urban sites, as well as the businesses that supply retrofit services. The project will analyse the retrofit experience of both energy poor and other households, providing an internationally significant evidence base. Outcomes include a robust empirical evidence base on the implications of retrofit for households to tailor actions that will shape the lives of residents in Australian households.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100014
Funder
Australian Research Council
Funding Amount
$432,469.00
Summary
Comparative genomics to improve conservation planning in Australian deserts. This project aims to locate hotspots of diversity in Australia’s vast, flat deserts and to quantify how well these areas are captured under the National Reserve System. I will establish a network of international and national collaborators and improve knowledge on how animals responded to past environmental change. The anticipated outcome of this project is to improve our ability to understand, measure and preserve our ....Comparative genomics to improve conservation planning in Australian deserts. This project aims to locate hotspots of diversity in Australia’s vast, flat deserts and to quantify how well these areas are captured under the National Reserve System. I will establish a network of international and national collaborators and improve knowledge on how animals responded to past environmental change. The anticipated outcome of this project is to improve our ability to understand, measure and preserve our unique desert biodiversity and the evolutionary processes that sustain it, using our remarkably diverse reptile fauna as a model system. In the face of current, rapid environmental change, this has never been more important, and will provide a tool for biodiversity survival.Read moreRead less
Dynamic evolution of mutation rates: causes and impacts on genomic analysis. This project aims to illuminate the role of variation in mutation rate in driving evolutionary change. Mutation rate is a core parameter in evolutionary analyses in essential applications including epidemiology, conservation and medicine, yet remains a “black box” given arbitrary universal values. This project will take a whole-of-biodiversity approach to understanding the forces shaping mutation rate, impact on evoluti ....Dynamic evolution of mutation rates: causes and impacts on genomic analysis. This project aims to illuminate the role of variation in mutation rate in driving evolutionary change. Mutation rate is a core parameter in evolutionary analyses in essential applications including epidemiology, conservation and medicine, yet remains a “black box” given arbitrary universal values. This project will take a whole-of-biodiversity approach to understanding the forces shaping mutation rate, impact on evolution of biodiversity and effect on accuracy and precision of phylogenetic analyses. Using Australian case studies, the expected outcome of this project will be a greater understanding variation in mutation rate between species, providing significant benefits in developing more sophisticated and reliable phylogenetic analyses.Read moreRead less
Fake News and Post-Truth Impacts: Responses to Conflictive Uncertainty. Attributions of fake news and post-truth are symptoms of uncertainty arising from conflicting information. Little is known about human responses to conflictive uncertainty other than that people find it aversive. This project aims to identify the determinants of human attitudes towards conflictive uncertainty. The aims will be achieved via the development of measures of attitudes toward conflictive uncertainty, and studies i ....Fake News and Post-Truth Impacts: Responses to Conflictive Uncertainty. Attributions of fake news and post-truth are symptoms of uncertainty arising from conflicting information. Little is known about human responses to conflictive uncertainty other than that people find it aversive. This project aims to identify the determinants of human attitudes towards conflictive uncertainty. The aims will be achieved via the development of measures of attitudes toward conflictive uncertainty, and studies identifying the major influences thereof. Expected outcomes include advances in knowledge of how conflictive uncertainty attitudes relate to risk orientations, personality, and situational factors. Anticipated benefits include improved strategies for decision makers and communicators faced with conflictive uncertainty.Read moreRead less
Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in c ....Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in complex dynamic systems. The expected outcomes include an improved capacity for researchers, managers, and policy makers to understand complex organisational, economic, and health systems. This will provide immediate societal benefits by informing the development and deployment of targeted interventions in such systems.Read moreRead less
COVID-19, health and labour market marginalisation . This project aims to investigate the impact of the COVID-19 pandemic on labour market marginalisation in Australia. It seeks to generate new insights about whether the global economic shock had a disproportionately negative effect on the employment circumstances of working-age Australians with mental health and musculoskeletal/pain conditions, which are the leading causes of disability in Australia. The expected outcomes of this project includ ....COVID-19, health and labour market marginalisation . This project aims to investigate the impact of the COVID-19 pandemic on labour market marginalisation in Australia. It seeks to generate new insights about whether the global economic shock had a disproportionately negative effect on the employment circumstances of working-age Australians with mental health and musculoskeletal/pain conditions, which are the leading causes of disability in Australia. The expected outcomes of this project include improved policy responses to direct effective support and assistance to those with the greatest need, and new resources for the research community. This should lead to significant benefits through reduced inequalities and improved social, economic and workforce outcomes for vulnerable Australians.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100003
Funder
Australian Research Council
Funding Amount
$387,373.00
Summary
The evolution of venom and its role in shaping biodiversity. This project aims to study how venom, nature's most powerful weapon, evolves and shapes biodiversity. Using the iconic Australian and New Guinean venomous snakes as a model, this project expects to develop a novel approach to profile venom composition from museum specimens, test competing hypotheses on the evolution of venoms, and test for the association between the evolution of venoms and the evolution of diversity in species richnes ....The evolution of venom and its role in shaping biodiversity. This project aims to study how venom, nature's most powerful weapon, evolves and shapes biodiversity. Using the iconic Australian and New Guinean venomous snakes as a model, this project expects to develop a novel approach to profile venom composition from museum specimens, test competing hypotheses on the evolution of venoms, and test for the association between the evolution of venoms and the evolution of diversity in species richness and morphology. Expected outcomes include the largest venom database for any animal group and a better understanding of how venoms evolve and what role they play in earth’s biodiversity. The generated venom data has potential to be used in future studies to aid in the development of anti-venoms and drugs.Read moreRead less
Regularisation methods of inverse problems: theory and computation. This project aims to investigate regularisation methods for inverse problems which are ill-posed in the sense that their solutions depend discontinuously on the data. When only noisy data is available, regularisation methods define stable approximate solutions by replacing the original inverse problem with a family of well-posed neighbouring problems monitored by a so-called regularisation parameter. The project expects to devel ....Regularisation methods of inverse problems: theory and computation. This project aims to investigate regularisation methods for inverse problems which are ill-posed in the sense that their solutions depend discontinuously on the data. When only noisy data is available, regularisation methods define stable approximate solutions by replacing the original inverse problem with a family of well-posed neighbouring problems monitored by a so-called regularisation parameter. The project expects to develop purely data-driven rules to choose the regularisation parameter and show how they work in theory, and in practice. It will also develop convex framework, acceleration strategies as well as preconditioning and splitting ideas to design efficient regularisation solvers.Read moreRead less