Visualisation of latent DNA. This project aims to deliver a proof-of-concept that allows visualisation of invisible DNA (latent DNA) into a quick, inexpensive and practical DNA collection method that will lead to DNA evidence being available in more cases. It will build upon a proof-of-concept method ready for transferal to forensic casework. This will allow DNA evidence recovery technicians to improve their hit rate in recovering latent DNA from real crime items, leading to more informative DNA ....Visualisation of latent DNA. This project aims to deliver a proof-of-concept that allows visualisation of invisible DNA (latent DNA) into a quick, inexpensive and practical DNA collection method that will lead to DNA evidence being available in more cases. It will build upon a proof-of-concept method ready for transferal to forensic casework. This will allow DNA evidence recovery technicians to improve their hit rate in recovering latent DNA from real crime items, leading to more informative DNA profiles. Crime items that currently yield no genetic information will now be informative, assisting investigations of serious crimes or terrorist incidents.Read moreRead less
Dynamic prediction models in Australian rules football using real time performance statistics. The study is a collaborative venture with Champion Data, the Australian leader in the collection and transmission of real time sporting data, and official provider of the Australian Football League (AFL) statistics. The aim is to develop a real time on line predictive model for AFL football. The model will use the statistics Champion Data collect as the match progresses as inputs to continually updat ....Dynamic prediction models in Australian rules football using real time performance statistics. The study is a collaborative venture with Champion Data, the Australian leader in the collection and transmission of real time sporting data, and official provider of the Australian Football League (AFL) statistics. The aim is to develop a real time on line predictive model for AFL football. The model will use the statistics Champion Data collect as the match progresses as inputs to continually update estimates of the probabilities of various outcomes of interest such as the winner of the match and the margin of victory. The project will assist Champion in their strategic aim to provide an on line form guide.Read moreRead less
Next-generation latent fingermark detection using functional nanomaterials. Next-generation latent fingermark detection using functional nanomaterials. This project aims to develop a nanotechnology-based fingermark detection technique applicable in standard police laboratories and crime scenes. Current methods only detect half the fingermarks on an object, so many criminals are not identified. This project will use silicon oxide nanoparticles with a luminescent dye to target fingermark secretion ....Next-generation latent fingermark detection using functional nanomaterials. Next-generation latent fingermark detection using functional nanomaterials. This project aims to develop a nanotechnology-based fingermark detection technique applicable in standard police laboratories and crime scenes. Current methods only detect half the fingermarks on an object, so many criminals are not identified. This project will use silicon oxide nanoparticles with a luminescent dye to target fingermark secretion components and address interference from substrate chemistries and background luminescence. Moving away from traditional detection methods is expected to improve law enforcement outcomes, as fingermarks that current technologies cannot detect will be visualised for the first time.Read moreRead less
The effective treatment of drug using offenders: the impact of treatment modality, coercion and treatment readiness on criminal recidivism. Drug use is associated with significant health, social, and economic costs. Given the established drug-crime connection and the high rate of relapse among drug-using offenders, the outcomes of this research will assist policymakers in identifying clinically and cost effective approaches to service delivery. Moreover, in view of the debate that surrounds the ....The effective treatment of drug using offenders: the impact of treatment modality, coercion and treatment readiness on criminal recidivism. Drug use is associated with significant health, social, and economic costs. Given the established drug-crime connection and the high rate of relapse among drug-using offenders, the outcomes of this research will assist policymakers in identifying clinically and cost effective approaches to service delivery. Moreover, in view of the debate that surrounds the efficacy of coerced treatment, and the extent to which Australia should follow the United States of America’s lead of mandating treatment for all substance using offenders, the project will test the proposition that compulsory treatment has positive outcomes in terms of reductions in recidivism.Read moreRead less
Rapid CYBERNOSE ® detection of illicit drugs and precursor chemicals. Rapid CYBERNOSE ® detection of illicit drugs and precursor chemicals. This project aims to develop a novel biosensor prototype based on CYBERNOSE® technology to rapidly identify volatile traces of illicit drugs and precursor chemicals in concealed environments. The CYBERNOSE® technology employs sensors using the highly sophisticated and sensitive olfactory receptors of microscopic nematode worms linked to an optoelectronic det ....Rapid CYBERNOSE ® detection of illicit drugs and precursor chemicals. Rapid CYBERNOSE ® detection of illicit drugs and precursor chemicals. This project aims to develop a novel biosensor prototype based on CYBERNOSE® technology to rapidly identify volatile traces of illicit drugs and precursor chemicals in concealed environments. The CYBERNOSE® technology employs sensors using the highly sophisticated and sensitive olfactory receptors of microscopic nematode worms linked to an optoelectronic detector. The need for rapid, non-contact screening devices to detect and identify illicit drugs and precursors entering Australia has never been greater. Law enforcement agencies should directly benefit from the capability to more rapidly screen people and cargo, improving efficiency of illicit drug detection and protection of our borders.Read moreRead less
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
Intruder alert! detecting and classifying events in noisy time series. This project aims to address the mathematical challenges in automated early detection and classification of intrusion events in noisy time series generated from perimeter security systems. The project expects to develop robust methods to detect intrusion events under different operating environments while ignoring nuisance events. The project will boost the global competitiveness of the Australian security industry, and enabl ....Intruder alert! detecting and classifying events in noisy time series. This project aims to address the mathematical challenges in automated early detection and classification of intrusion events in noisy time series generated from perimeter security systems. The project expects to develop robust methods to detect intrusion events under different operating environments while ignoring nuisance events. The project will boost the global competitiveness of the Australian security industry, and enable improved event detection and classification in noisy time series to the benefit of many critical application areas beyond national security.Read moreRead less
Improving the identification of juvenile firesetters at high risk of recidivism. Young firesetters are not only responsible for some fifth of all fires, they also are at risk of becoming adult arsonists. Australian fire services provide educational programs for young firesetters but about a third may continue to light fires. This project will allow clarification of variables most associated with ongoing firesetting behaviour (recidivism), better prediction of high risk juveniles, understanding ....Improving the identification of juvenile firesetters at high risk of recidivism. Young firesetters are not only responsible for some fifth of all fires, they also are at risk of becoming adult arsonists. Australian fire services provide educational programs for young firesetters but about a third may continue to light fires. This project will allow clarification of variables most associated with ongoing firesetting behaviour (recidivism), better prediction of high risk juveniles, understanding of the predictive value of a screening tool, valid assessment of recidivism rates and an increased understanding of mental health agency involvement with firesetter families. These outcomes will help improve programs involving juvenile firesetters, thereby reducing arson and the high cost of uncontrolled fire.Read moreRead less
Using Advances in Bayesian Statistics to Estimate Australian Rainfall Variations in a Climate Change World. Modelling changes to rainfall patterns answers many important questions about changes in Australia's climate. This is essential to protecting our biodiversity and ensuring Australia's environmental sustainability. The project will address such issues as the extent to which the entire distribution of daily rainfall has changed over time, which areas of Australia have been most affected by t ....Using Advances in Bayesian Statistics to Estimate Australian Rainfall Variations in a Climate Change World. Modelling changes to rainfall patterns answers many important questions about changes in Australia's climate. This is essential to protecting our biodiversity and ensuring Australia's environmental sustainability. The project will address such issues as the extent to which the entire distribution of daily rainfall has changed over time, which areas of Australia have been most affected by this change and to what extent are these changes related to global climate indices. The latest advances in Bayesian statistics will be used to introduce flexibility and complexity into the model.Read moreRead less
Increasing student retention rates in Victorian rural and metropolitan areas through engaging and empowering students with learning difficulties. Learning difficulties (LD), which affect a significant population, have a neurological cause and are a life-long phenomenon. Students with LD are at increased risk of negative outcomes including school dropout, unemployment and emotional difficulties. This project examines the prevalence of LD in students of average to above average ability and its r ....Increasing student retention rates in Victorian rural and metropolitan areas through engaging and empowering students with learning difficulties. Learning difficulties (LD), which affect a significant population, have a neurological cause and are a life-long phenomenon. Students with LD are at increased risk of negative outcomes including school dropout, unemployment and emotional difficulties. This project examines the prevalence of LD in students of average to above average ability and its relationship to at-risk behaviours. It also examines the impact of expanding teacher understanding of LD and use of pedagogy that engages and empowers students through the acquisition of compensatory skills. This project goes beyond traditional literacy and numeracy support by focussing on sense of belonging and personal control as key determinants for improving outcomes for students with LD.Read moreRead less