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
Universal immunogenic reagents for the detection of latent fingermarks. This project will deliver the first antibody reagents for the routine detection of natural fingermarks. This will assist law enforcement agencies to provide a safer society through improved crime clearance, as they will be able to enhance and detect fingermarks that otherwise remain undetected with current techniques (e.g. fingermarks on human skin).
Who should join the suspect in a police photo array? The traditional police line-up often produces inaccurate decisions, with witnesses failing to pick the culprit or picking an innocent suspect. Surprisingly, despite all the scientific advances with respect to the collection of eyewitness evidence, there is absolutely no objective basis for selecting the ‘fillers’ to accompany the suspect in the line-up. Guidelines merely suggest the fillers should not be too similar or too dissimilar to the su ....Who should join the suspect in a police photo array? The traditional police line-up often produces inaccurate decisions, with witnesses failing to pick the culprit or picking an innocent suspect. Surprisingly, despite all the scientific advances with respect to the collection of eyewitness evidence, there is absolutely no objective basis for selecting the ‘fillers’ to accompany the suspect in the line-up. Guidelines merely suggest the fillers should not be too similar or too dissimilar to the suspect. However, the fillers are likely to have a crucial influence on decision accuracy. This project aims to remedy this striking deficiency by developing and testing a flexible and universally applicable methodology for photo array composition that will optimise judgmental discriminability and curtail bias.Read moreRead less
A formal signal detection model of eyewitness identification. The project aims to aid in producing better procedures for the collection and assessment of eyewitness identification evidence. In a police line-up, a witness is asked to identify a perpetrator from a group of similar individuals. Applied research has focused on conditions that optimise witness performance but many of the conclusions from this research have been challenged on the basis that they use inappropriate measures of performan ....A formal signal detection model of eyewitness identification. The project aims to aid in producing better procedures for the collection and assessment of eyewitness identification evidence. In a police line-up, a witness is asked to identify a perpetrator from a group of similar individuals. Applied research has focused on conditions that optimise witness performance but many of the conclusions from this research have been challenged on the basis that they use inappropriate measures of performance. Recent work has highlighted the usefulness of analyses based on the theory of signal detection. However, the line-up task does not fit easily within standard signal detection paradigms as it combines two tasks; detection and identification. The project aims to understand how these components work in order to measure witness performance.Read moreRead less
Industry Laureate Fellowships - Grant ID: IL230100175
Funder
Australian Research Council
Funding Amount
$3,763,434.00
Summary
Combatting wildlife crime and preventing environmental harm. Wildlife crime is one of the greatest threats to environmental and human security across the globe. In Australia, the illegal harvesting, killing, and trade of wild animals and plants endangers the country’s unique biodiversity and poses serious biosecurity risks to natural and agricultural systems. This Fellowship will deliver the intelligence tools and technologies, in wildlife forensics and cyber security, that are required for step ....Combatting wildlife crime and preventing environmental harm. Wildlife crime is one of the greatest threats to environmental and human security across the globe. In Australia, the illegal harvesting, killing, and trade of wild animals and plants endangers the country’s unique biodiversity and poses serious biosecurity risks to natural and agricultural systems. This Fellowship will deliver the intelligence tools and technologies, in wildlife forensics and cyber security, that are required for step-change reductions in wildlife crime in Australia, and Asia-Pacific. The project will establish new approaches for raising public awareness of the dangers of wildlife crime and provide much needed stewardship to protect Australia’s environmental assets and natural capital from current and future threats.Read moreRead less