Improving mental health nurses’ retention and quality of nursing practice. This project aims to improve mental health nurses’ resilience, retention and quality of practice through implementation of a resilience-building program. There is a critical national shortage of nurses in mental health, and attrition of the mental health nursing workforce is due in large part to workplace stressors. As a world-first in the field, the study will compare outcomes for mental health nurses who participate in ....Improving mental health nurses’ retention and quality of nursing practice. This project aims to improve mental health nurses’ resilience, retention and quality of practice through implementation of a resilience-building program. There is a critical national shortage of nurses in mental health, and attrition of the mental health nursing workforce is due in large part to workplace stressors. As a world-first in the field, the study will compare outcomes for mental health nurses who participate in the resilience program with a group of nurses who do not. Extending on a successful pilot, we expect the outcomes to be improved nurse resilience, turnover intention, and quality of nursing practice, and reduced negative psychological impacts of workplace stress. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100829
Funder
Australian Research Council
Funding Amount
$353,000.00
Summary
The effects of parental education on child health outcomes. This project aims to understand how public education policies can improve health. Common economic analysis of returns to education fails to capture the critical secondary beneficial effects of parental education on future generations’ health. These positive effects are systematically undercounted in the cost-benefit analysis of Australia’s investment in education. This project will use Australian datasets and natural experiments to iden ....The effects of parental education on child health outcomes. This project aims to understand how public education policies can improve health. Common economic analysis of returns to education fails to capture the critical secondary beneficial effects of parental education on future generations’ health. These positive effects are systematically undercounted in the cost-benefit analysis of Australia’s investment in education. This project will use Australian datasets and natural experiments to identify how parental education affects the health outcomes of the second generation. This project expects to provide policy recommendations to maximise health, wellbeing and economic outcomes for Australia.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
Discovery Early Career Researcher Award - Grant ID: DE200101100
Funder
Australian Research Council
Funding Amount
$425,613.00
Summary
Towards Robotic Empathy: A human centred approach to future AI machines. The project aims to equip future robots with empathy by developing computational models which can leverage from verbal and non-verbal cues. With recent advances in artificial intelligence research, robots now have better cognitive and function skills, but they lack socio-emotional skills. Since these robots are expected to provide assistance to humans across different domains including rehabilitation, education and health c ....Towards Robotic Empathy: A human centred approach to future AI machines. The project aims to equip future robots with empathy by developing computational models which can leverage from verbal and non-verbal cues. With recent advances in artificial intelligence research, robots now have better cognitive and function skills, but they lack socio-emotional skills. Since these robots are expected to provide assistance to humans across different domains including rehabilitation, education and health care, empowering them with empathetic abilities is important for their success. The project will advance fundamental research in machine learning, affective computing and artificial intelligence to model human behavior, personality traits and emotions for an empathetic human-robot interaction.Read moreRead less
Improving the specificity of affective computing via multimodal analysis. This project aims to develop multimodal affective sensing techniques that can sense very subtle expressions in human moods and emotions. Much research in affective computing has investigated ways to improve the sensitivity of affect sensing approaches, resulting in more accurate estimates of affective states such as emotions or mood. What remains unsolved so far is the issue of specificity. This project will address this i ....Improving the specificity of affective computing via multimodal analysis. This project aims to develop multimodal affective sensing techniques that can sense very subtle expressions in human moods and emotions. Much research in affective computing has investigated ways to improve the sensitivity of affect sensing approaches, resulting in more accurate estimates of affective states such as emotions or mood. What remains unsolved so far is the issue of specificity. This project will address this issue through novel analyses of very subtle cues in facial and vocal expressions of affect embedded in a multimodal deep learning framework. Current approaches can successfully assist in binary classification tasks. This project will tackle the much more difficult problem of developing advanced affective sensing technology to simultaneously handle homogeneous and heterogeneous affect classes as well as continuous range estimates of affect intensity.Read moreRead less
Understanding and responding to online child sexual exploitation offenders. The development of online communication technologies has facilitated a growth in online child sexual exploitation over the past two decades. Using a data-linkage framework, this project aims to enhance understanding of online child sexual exploitation, the legal frameworks surrounding this issue, and the unique characteristics, risks and needs of online sexual offenders. Expected outcomes include increased knowledge to i ....Understanding and responding to online child sexual exploitation offenders. The development of online communication technologies has facilitated a growth in online child sexual exploitation over the past two decades. Using a data-linkage framework, this project aims to enhance understanding of online child sexual exploitation, the legal frameworks surrounding this issue, and the unique characteristics, risks and needs of online sexual offenders. Expected outcomes include increased knowledge to inform current law enforcement and sentencing practices and the development of risk assessment and intervention protocols for clinical use with online offenders. This should increase evidence-based practice with online sexual offenders and assist in preventing the sexual exploitation of children online and in the community.Read moreRead less
Child health and developmental inequities: Evidence for precision policy. The project aims to use cutting edge analytic approaches applied to existing data to identify how policy interventions related to parents’ mental health, preschool programs, and the built environment can be optimised to reduce inequities in children’s mental, academic, and physical health outcomes. The project will be informed by our partners and advisers from across government portfolios and service delivery, ensuring tha ....Child health and developmental inequities: Evidence for precision policy. The project aims to use cutting edge analytic approaches applied to existing data to identify how policy interventions related to parents’ mental health, preschool programs, and the built environment can be optimised to reduce inequities in children’s mental, academic, and physical health outcomes. The project will be informed by our partners and advisers from across government portfolios and service delivery, ensuring that the evidence generated has contemporary policy relevance. The project expects to identify clear and actionable policy pathways to reduce child inequities in Australia, which can benefit decision makers by helping them to direct limited public funds towards intervention opportunities that will have the greatest impact.Read moreRead less
Staffing practices in Aboriginal primary health care services. This project aims to generate new knowledge about the impact of short-term staffing in remote Aboriginal Community Controlled Health Services on service acceptability to patients, workload and attitudes of long-term staff and the effectiveness and cost of services. The project intends to compare these results to recent findings about the impact of short-term staffing in government-run clinics, in order to quantify and describe the po ....Staffing practices in Aboriginal primary health care services. This project aims to generate new knowledge about the impact of short-term staffing in remote Aboriginal Community Controlled Health Services on service acceptability to patients, workload and attitudes of long-term staff and the effectiveness and cost of services. The project intends to compare these results to recent findings about the impact of short-term staffing in government-run clinics, in order to quantify and describe the potential positive effect of community control. Expected outcomes include rigorous evidence about the 'fly in/fly out' workforce and the impact of community control which can inform new policy that will stabilise the remote health workforce, save money and contribute to 'closing the gap' in health outcomes.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100561
Funder
Australian Research Council
Funding Amount
$452,936.00
Summary
Solving the disability data puzzle to ensure progress towards equity. In South Korea, the average age of death for people with disability is 16 years younger than people without disability. In Australia, we do not have the data infrastructure to generate life expectancy statistics for people with disability. This fellowship aims to solve this disability data challenge, identified as a critical problem by the Australian Government. It will develop a validated methodology for producing disability ....Solving the disability data puzzle to ensure progress towards equity. In South Korea, the average age of death for people with disability is 16 years younger than people without disability. In Australia, we do not have the data infrastructure to generate life expectancy statistics for people with disability. This fellowship aims to solve this disability data challenge, identified as a critical problem by the Australian Government. It will develop a validated methodology for producing disability statistics from linked data; generate a whole population disability data resource to build capacity in disability research; and for the first time, produce life expectancy statistics for people with disability - the ultimate policy tool to monitor progress towards equity and improve the lives of disabled Australians. Read moreRead less
Estimating use of tobacco and nicotine products through wastewater analysis. This project aims to equip the Australian public health and security sector with a tool to accurately measure tobacco consumption in the general population. Specific human biomarkers in urine will be identified using non-target approaches and their pharmacokinetics quantified. The new data will address critical gaps in our knowledge on the population-level excretion of biomarkers for the consumption of tobacco and alter ....Estimating use of tobacco and nicotine products through wastewater analysis. This project aims to equip the Australian public health and security sector with a tool to accurately measure tobacco consumption in the general population. Specific human biomarkers in urine will be identified using non-target approaches and their pharmacokinetics quantified. The new data will address critical gaps in our knowledge on the population-level excretion of biomarkers for the consumption of tobacco and alternative nicotine products. The outcomes of this project will provide reliable, cost-effective estimates of tobacco consumption for use with wastewater-based epidemiology assessments. This will enable changes in tobacco use to be accurately evaluated for the first time and improve the efficacy of tobacco control measures.Read moreRead less