The presentation of expert evidence in Australian criminal trials: the role of lawyers and experts. This project will shed light on how courts, lawyers and experts can work effectively together to deliver expert evidence in the courtroom. Improving the provision and effective use of expert evidence will benefit the Australian community by providing a better quality criminal justice system.
Estimation of non-additive genetic variance for complex traits using genome-wide single nucleotide polymorphyisms and sequence data. Finding genes for traits of importance in agriculture, ecology and human health depends on understanding the genetic basis of these traits. This project will investigate whether variation in traits in humans, cattle and wild sheep are influenced by gene-gene interactions.
The genetic architecture and evolution of quantitative traits. Most important traits are controlled by many genes and by the environment, however there is little knowledge of how many genes are involved in these complex traits and what their effects are. This project will describe the number of genes and their effects for complex traits in humans and livestock and explain how these genes evolve.
The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100050
Funder
Australian Research Council
Funding Amount
$570,000.00
Summary
Integrated facility for recording driver and road user behaviour. The integrated facility will be used to record and analyse data on driver and road user behaviour, in normal and safety-critical situations, for thousands of Australian drivers. The data yielded will be used to develop new and improved countermeasures for reducing road deaths and serious injuries on Australian roads.
Australian Jurors' Perspectives on Expert Evidence. This inter-state, industry and research collaborative project will shed light on how courts, lawyers and experts can best work together to assist juries in their decision-making task. With the cost of a criminal jury trial running well in excess of $20,000 per day, policy-makers are keen to find ways of improving the efficiency of criminal trials. Improving the performance of the jury system will benefit the Australian community by enhancing th ....Australian Jurors' Perspectives on Expert Evidence. This inter-state, industry and research collaborative project will shed light on how courts, lawyers and experts can best work together to assist juries in their decision-making task. With the cost of a criminal jury trial running well in excess of $20,000 per day, policy-makers are keen to find ways of improving the efficiency of criminal trials. Improving the performance of the jury system will benefit the Australian community by enhancing the quality and reducing the cost of the criminal justice system. By intimately involving the judges and forensic scientists in this project we maximise the potential for the results of our research to be adopted by those in a position to improve the jury system.Read moreRead less
Statistical Methods for Discovering Ribonucleic acids (RNAs) contributing to human diseases and phenotypes. Identifying the causative genetic factors involved in quantitative phenotypes and diseases is a major goal of biology in the 21st century and beyond. A crucial step towards this goal is identifying and classifying the functional non-protein-coding Ribonucleic acids (RNAs) encoded in the human genome. This project will make major contributions to international efforts in this area by identi ....Statistical Methods for Discovering Ribonucleic acids (RNAs) contributing to human diseases and phenotypes. Identifying the causative genetic factors involved in quantitative phenotypes and diseases is a major goal of biology in the 21st century and beyond. A crucial step towards this goal is identifying and classifying the functional non-protein-coding Ribonucleic acids (RNAs) encoded in the human genome. This project will make major contributions to international efforts in this area by identifying RNA molecules that contribute to quantitative phenotypes including susceptibility to disease. As such, it will directly benefit fundamental science via the discovery and classification of new molecules. Indirectly, it will lead to breakthroughs in biology, and consequently to major medical and pharmaceutical advances in the diagnosis and treatment of genetic disease.Read moreRead less
Mechanistic characterisation of genotype x environment interactions in sorghum and arabidopsis. Sorghum is an economically important cereal crop for Australia. In Australia, sorghum is used as a staple animal feed and it is very important for the live stock industry. With the predicted changes of temperature and rainfall patterns due to climate change, negative effects on sorghum yield are expected, which can have adverse effects on Australian economy. Our studies will identify and mark genes th ....Mechanistic characterisation of genotype x environment interactions in sorghum and arabidopsis. Sorghum is an economically important cereal crop for Australia. In Australia, sorghum is used as a staple animal feed and it is very important for the live stock industry. With the predicted changes of temperature and rainfall patterns due to climate change, negative effects on sorghum yield are expected, which can have adverse effects on Australian economy. Our studies will identify and mark genes that regulate flowering and seed production in sorghum in response to changes in temperature and light interactions. These studies will help to develop novel sorghum varieties with desirable characters through plant-breeding programmes.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
Genetic architecture and evolution of complex traits across populations. Most human traits have a genetic component and display substantial diversity within and among populations. How natural selection changes and maintains genetic variation in human traits is a long-standing question in evolution that the proposed project aims to answer. Using innovative statistical methods and largest genomic “big” datasets ever across populations of different ancestral backgrounds, this project expects to gen ....Genetic architecture and evolution of complex traits across populations. Most human traits have a genetic component and display substantial diversity within and among populations. How natural selection changes and maintains genetic variation in human traits is a long-standing question in evolution that the proposed project aims to answer. Using innovative statistical methods and largest genomic “big” datasets ever across populations of different ancestral backgrounds, this project expects to generate new knowledge on the roles of natural selection in shaping the genetic variation in traits and identify key factors that drive the differentiation of human populations. These outcomes will significantly improve our understanding on the evolution of human traits and adaptation of populations to changing environments.Read moreRead less