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
Threshold Decisions in Determining Whether to Prosecute Child Sexual Abuse. The objective of this project is new knowledge about the way police and prosecutors make decisions about the prosecution of child sexual assault that could be used to influence policy and practice. Few cases of child sexual abuse reported to the police ever go to court but recent research in New South Wales for the Royal Commission indicates that the proportion has declined sharply over the last decade or so. This projec ....Threshold Decisions in Determining Whether to Prosecute Child Sexual Abuse. The objective of this project is new knowledge about the way police and prosecutors make decisions about the prosecution of child sexual assault that could be used to influence policy and practice. Few cases of child sexual abuse reported to the police ever go to court but recent research in New South Wales for the Royal Commission indicates that the proportion has declined sharply over the last decade or so. This project aims to examine how police and prosecutors decide which cases proceed and why, and how they confer with each other as well as when and how they consult with complainants and their families. This project plans to also develop and test practice tools and principles for police and prosecutors with expected benefits for both them and the families involved.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
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
Bayesian estimation of flexible spatial models with applications in medical imaging and econometric modeling. This project aims to develop statistical methodology for estimating flexible highly parameterised Bayesian spatial models. The flexible models examined will include regression, choice and time series models for data that is spatially registered. Spatial smoothing of parameters in the models will involve application of hierarchical spatial prior distributions. The resulting methodology wi ....Bayesian estimation of flexible spatial models with applications in medical imaging and econometric modeling. This project aims to develop statistical methodology for estimating flexible highly parameterised Bayesian spatial models. The flexible models examined will include regression, choice and time series models for data that is spatially registered. Spatial smoothing of parameters in the models will involve application of hierarchical spatial prior distributions. The resulting methodology will be applied to the analysis of medical imaging data and to the estimation of spatial econometric models of residential real estate prices. The expected outcomes include developments in the frontier framework of Bayesian computational estimation methodology, improved methods for medical image processing and estimation of high resolution spatial models of residential real estate prices in Australian metropolitan centres.Read moreRead less
Creating perceptual experts in Australia's policing and security agencies. This project aims to create the next generation of experts in Australia’s policing and national security agencies, by improving crime scene evidence interpretation. Agencies are under pressure to develop more rigorous training practices that go beyond mere intuition and tradition. This project will use a novel approach that directs learning toward the most diagnostic perceptual cues. Expected outcomes include a solid empi ....Creating perceptual experts in Australia's policing and security agencies. This project aims to create the next generation of experts in Australia’s policing and national security agencies, by improving crime scene evidence interpretation. Agencies are under pressure to develop more rigorous training practices that go beyond mere intuition and tradition. This project will use a novel approach that directs learning toward the most diagnostic perceptual cues. Expected outcomes include a solid empirical basis for national training programs designed to create experts that are accurate, reliable, and continuously improving. Improving the training of experts will ensure the integrity of forensics as evidentiary tools available to police, lead to more reliable courtroom convictions and help safeguard Australia from terrorism and crime.Read moreRead less
Computational methods for population-size-dependent branching processes. Branching processes are the primary mathematical tool used to model populations that evolve randomly in time. Most key results in the theory are derived under the simplifying assumption that individuals reproduce and die independently of each other. However, this assumption fails in most real-life situations, in particular when the environment has limited resources or when the habitat has a restricted capacity. This project ....Computational methods for population-size-dependent branching processes. Branching processes are the primary mathematical tool used to model populations that evolve randomly in time. Most key results in the theory are derived under the simplifying assumption that individuals reproduce and die independently of each other. However, this assumption fails in most real-life situations, in particular when the environment has limited resources or when the habitat has a restricted capacity. This project aims to develop novel and effective algorithmic techniques and statistical methods for a class of branching processes with dependences. We will use these results to study significant problems in the conservation of endangered island bird populations in Oceania, and to help inform their conservation management.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100031
Funder
Australian Research Council
Funding Amount
$3,973,202.00
Summary
ARC Training Centre in Data Analytics for Resources and Environments (DARE). Understanding the cumulative impact of actions regarding the use of our resources has important long-term consequences for Australia’s economic, societal and environmental health. Yet despite the importance of these cumulative impacts, and the availability of data, many decisions and policies are based on limited amounts of data and rudimentary data analysis, with little appreciation of the critical role that understand ....ARC Training Centre in Data Analytics for Resources and Environments (DARE). Understanding the cumulative impact of actions regarding the use of our resources has important long-term consequences for Australia’s economic, societal and environmental health. Yet despite the importance of these cumulative impacts, and the availability of data, many decisions and policies are based on limited amounts of data and rudimentary data analysis, with little appreciation of the critical role that understanding and quantifying uncertainty plays in the process. The aim of Data Analytics in Resources and Environment (DARE) is to develop and deliver the data science skills and tools for Australia’s resource industries to make the best possible evidence-based decisions in exploiting and stewarding the nation’s natural resources.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100015
Funder
Australian Research Council
Funding Amount
$430,000.00
Summary
Australian Facility for Taphonomic Experimental Research . Australian facility for taphonomic experimental research: The aim of this project is to establish a unique Australian research facility dedicated to studying the physical, chemical, and biological processes of human decomposition. This facility will be the first of its kind in Australia and the Southern Hemisphere, drawing together a collaborative team of experts in a broad range of taphonomy disciplines. The results of the research are ....Australian Facility for Taphonomic Experimental Research . Australian facility for taphonomic experimental research: The aim of this project is to establish a unique Australian research facility dedicated to studying the physical, chemical, and biological processes of human decomposition. This facility will be the first of its kind in Australia and the Southern Hemisphere, drawing together a collaborative team of experts in a broad range of taphonomy disciplines. The results of the research are expected to advance our limited understanding of the taphonomic processes acting on remains in a natural Australian environment. The outcomes will assist police and forensic services to improve their procedures for searching, locating, recovering, and identifying missing persons, victims of homicide, and victims of disaster on both a national and international scale.Read moreRead less
Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct b ....Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct bioregions and characterise species’ environmental responses, they should significantly enhance evaluations of the impact of human activity and environmental change on coral diversity. Ultimately, these evaluations can underpin future decisions in the conservation and management of the Great Barrier Reef.Read moreRead less