Building An Evidence Base For Funding Evidence-based Medicine
Funder
National Health and Medical Research Council
Funding Amount
$316,338.00
Summary
Funding schemes should be subject to the same scientific scrutiny as the proposals they scrutinize. If funding schemes could be improved, and higher quality proposals funded more reliably, then evidence-based medicine throughout Australia could be improved. Current evidence shows a concerning variability in funding decisions. We will examine the costs and reliability of the Project Grant scheme and two cheaper alternatives. Any savings we find could be re-invested back into medical research.
Statistical methods for quantifying variation in spatiotemporal areal data. This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable mode ....Statistical methods for quantifying variation in spatiotemporal areal data. This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable modelled small-area estimates to be released without compromising confidentiality. The expected outcomes include new statistical knowledge and new insights into cancer. The results will benefit the many disciplines, managers and policy makers that make decisions based on geographic data mapped over space and time. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101226
Funder
Australian Research Council
Funding Amount
$423,000.00
Summary
Testing Effects of Environmental Exposures on Subsequent Human Generations. This project aims to develop new statistical models to determine how environmental exposures in pregnancy, such as smoking, alcohol consumption and diet, can impact the first and second generations of children. The project will fill a void in unbiased tools to disentangle genetic and environmental components in the inheritance of complex traits, and will be the first to determine objectively if and how effects from envir ....Testing Effects of Environmental Exposures on Subsequent Human Generations. This project aims to develop new statistical models to determine how environmental exposures in pregnancy, such as smoking, alcohol consumption and diet, can impact the first and second generations of children. The project will fill a void in unbiased tools to disentangle genetic and environmental components in the inheritance of complex traits, and will be the first to determine objectively if and how effects from environmental exposures can be inherited. Through international collaborations and advanced interdisciplinary approaches, this project will generate new knowledge in the emerging field of multigenerational inheritance to drive the future design of interventions and influence positive behaviours during pregnancy.Read moreRead less
Development of population-level algorithms for modelling genomic variation and its impact on cellular function in animals and plants. The purpose of this project is to develop mathematical and computational tools which will enable researchers to model high-throughput biological data at the population level. These models will be used to uncover the effect that genetic variation has on the physiology of the cell and the organism.
System to synapse. Biological tissue is studied at the cellular and organ level with ever increasing clarity and sensitivity, but there are limitations in understanding how microscopic changes are manifested in the organ and vice versa. This project will develop new methods to bridge this gap and allow next generation correlative imaging.
Discovery Early Career Researcher Award - Grant ID: DE180100976
Funder
Australian Research Council
Funding Amount
$307,058.00
Summary
Identifying parent-of-origin effects and their impact on complex traits. This project aims to systematically identify genetic variants whose effects depend on whether they were inherited from the mother or the father, and to assess their impact on complex human traits. Most gene mapping studies to date assume that the effects of genetic variants are equal regardless of the parent of origin, thus have not explored this source of genetic variation. However, animal studies indicate that parent-of-o ....Identifying parent-of-origin effects and their impact on complex traits. This project aims to systematically identify genetic variants whose effects depend on whether they were inherited from the mother or the father, and to assess their impact on complex human traits. Most gene mapping studies to date assume that the effects of genetic variants are equal regardless of the parent of origin, thus have not explored this source of genetic variation. However, animal studies indicate that parent-of-origin specific effects (POEs) are important contributors to variability of developmental and behavioural traits. Leveraging genetic and epigenetic data from some of the world’s largest cohorts, this project will improve our understanding of POEs on complex human traits related to early development, growth and behaviour.Read moreRead less
Assessing the social and environmental determinants of seasonal influenza outbreaks. This project aims to examine the potential social and environmental predictors of seasonal influenza outbreaks across temperate and tropical climates. It will develop a spatiotemporal model to identify where, when and who is most susceptible to changes of risk in influenza epidemic-prone regions of Queensland, Australia and Gansu province and Shanghai City, China. A spatiotemporal predictive model for influenza ....Assessing the social and environmental determinants of seasonal influenza outbreaks. This project aims to examine the potential social and environmental predictors of seasonal influenza outbreaks across temperate and tropical climates. It will develop a spatiotemporal model to identify where, when and who is most susceptible to changes of risk in influenza epidemic-prone regions of Queensland, Australia and Gansu province and Shanghai City, China. A spatiotemporal predictive model for influenza will be useful for the early identification of impending epidemics, which will lead to a more rapid and efficiently targeted response than is possible with the current system, thereby reducing the magnitude and health and economic impact of epidemics.Read moreRead less
Fitting non-Gaussian diffusion models to evolutionary data: towards a generalized framework for phylogenetic comparative analyses. This project aims to develop cutting-edge statistical methods for evolutionary biology in order to answer big questions using data derived from multiple species. Such methods are needed because of the variety of multi-species data that are becoming available, which cannot be dealt with correctly using current methods. The research is significant because it will provi ....Fitting non-Gaussian diffusion models to evolutionary data: towards a generalized framework for phylogenetic comparative analyses. This project aims to develop cutting-edge statistical methods for evolutionary biology in order to answer big questions using data derived from multiple species. Such methods are needed because of the variety of multi-species data that are becoming available, which cannot be dealt with correctly using current methods. The research is significant because it will provide a new way of fitting a wide class of statistical models to evolutionary data, in a very general setting. Further, this project will unite current methodology in a broader framework so that the proposed new methods are a generalisation of currently accepted theory. The outcomes will include a freely-available software package that implements the methods in a user-friendly form.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100398
Funder
Australian Research Council
Funding Amount
$349,886.00
Summary
Advancing detection and understanding of anomalous ecological change. Human impacts are driving ecosystems into new, anomalous states. Reliably detecting these ecological anomalies is essential to better understand how ecosystems change over time, and effectively manage natural resources. This project aims to advance ecological anomaly detection using techniques from complex fields such as banking fraud, cybersecurity and video surveillance. Expected project outcomes will improve understanding o ....Advancing detection and understanding of anomalous ecological change. Human impacts are driving ecosystems into new, anomalous states. Reliably detecting these ecological anomalies is essential to better understand how ecosystems change over time, and effectively manage natural resources. This project aims to advance ecological anomaly detection using techniques from complex fields such as banking fraud, cybersecurity and video surveillance. Expected project outcomes will improve understanding of patterns and drivers of both biodiversity and ecosystem change. Tools to reliably detect anomalous changes in complex ecological systems will provide significant benefits to ecosystem management, conservation decision-making and environmental remediation.Read moreRead less