Understanding and preventing gun violence: A qualitative study. Gun violence causes significant harm across Australian communities. Excluding sexual assault, firearms feature in nearly one in 10 violent crimes. The annual costs of gun violence run into tens of millions of dollars. This project aims to make an original qualitative contribution to understanding and preventing gun violence in three contexts: drug dealing/trafficking, other organised crime activity, and armed robbery. The proposed r ....Understanding and preventing gun violence: A qualitative study. Gun violence causes significant harm across Australian communities. Excluding sexual assault, firearms feature in nearly one in 10 violent crimes. The annual costs of gun violence run into tens of millions of dollars. This project aims to make an original qualitative contribution to understanding and preventing gun violence in three contexts: drug dealing/trafficking, other organised crime activity, and armed robbery. The proposed research would be the first study nationally - and one of the very few internationally - to interview convicted gun crime users about the acquisition and use of firearms in criminal life. Project results are expected to have direct implications for reducing the impact of gun violence in Australia.Read moreRead less
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.
Legal risk management of adverse health outcomes and injury in the fitness industry: developing evidence-informed regulation that improves safety. This project analyses Australian laws, policies and practices designed to manage legal risks and liabilities in the fitness industry, and assesses their effectiveness in preventing adverse health outcomes, injuries, and the legal liability associated with those risks.
From data to action: a new process for developing injury countermeasures. This project aims to understand how reporting systems can improve workplace safety. Workplace injury affects over 600 000 Australian workers per year at a cost of approximately $60 billion. Although the introduction of incident reporting systems has enabled organisations to better understand the causes of injuries, how to translate this knowledge into effective countermeasures remains ambiguous. Moreover, it is not clear w ....From data to action: a new process for developing injury countermeasures. This project aims to understand how reporting systems can improve workplace safety. Workplace injury affects over 600 000 Australian workers per year at a cost of approximately $60 billion. Although the introduction of incident reporting systems has enabled organisations to better understand the causes of injuries, how to translate this knowledge into effective countermeasures remains ambiguous. Moreover, it is not clear whether adopting incident reporting systems actually leads to a safety benefit. This research intends to tackle these critical knowledge gaps by developing, implementing, and testing a process for translating incident reporting system outputs into appropriate and effective injury countermeasures, and then evaluating the safety effects of adopting the new incident reporting and learning cycle.Read moreRead less
Strengthening community partnerships to promote adolescent school engagement and prevent problems such as alcohol misuse and violence. The project will reduce community rates of adolescent school non-attendance, adolescent alcohol misuse and antisocial behaviour. Adolescent school exclusion, alcohol use and antisocial behaviour are highly prevalent in Australia, and can be reduced using a variety of strategies that are coordinated at the school and community level. The project will decrease adol ....Strengthening community partnerships to promote adolescent school engagement and prevent problems such as alcohol misuse and violence. The project will reduce community rates of adolescent school non-attendance, adolescent alcohol misuse and antisocial behaviour. Adolescent school exclusion, alcohol use and antisocial behaviour are highly prevalent in Australia, and can be reduced using a variety of strategies that are coordinated at the school and community level. The project will decrease adolescent problems through community improvements in child and adolescent protective influences and reductions in risk influences. Furthermore, the project will equip communities with the capacity to learn how to identify and implement strategies to address the major influences that have the potential to reduce adolescent behaviour problems.Read moreRead less
Non-linear modelling for predicting patient presentation rates for mass-gatherings. Mass-gatherings are events where crowds gather. Access to health care at these events is critical, though difficult. Complex interrelationships exist between characteristics of events and presenting patient profiles. To prevent overwhelming local hospital and emergency services it is important to accurately predict patient volume. A predictive model constructed through linear modelling has been widely used. Key f ....Non-linear modelling for predicting patient presentation rates for mass-gatherings. Mass-gatherings are events where crowds gather. Access to health care at these events is critical, though difficult. Complex interrelationships exist between characteristics of events and presenting patient profiles. To prevent overwhelming local hospital and emergency services it is important to accurately predict patient volume. A predictive model constructed through linear modelling has been widely used. Key features affecting patient presentations are non-linear in character and non-linear modelling may provide more accurate patient predictive models. This project provides prospective analysis of data to develop a non-linear predictive model.Read moreRead less