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
Discovery Early Career Researcher Award - Grant ID: DE240100386
Funder
Australian Research Council
Funding Amount
$435,875.00
Summary
Anti-racist neuroethics for epistemic justice in mental health research. Racial/ethnic minorities are underrepresented in brain and mental health (BMH) research, risking inadequate healthcare for the 9.5 million minorities in Australia. With the $73 billion annual cost of BMH disorders to the country, all Australians should equally benefit from BMH research. This project aims to develop recommendations to make BMH research more diverse and inclusive. It will audit representation of minorities in ....Anti-racist neuroethics for epistemic justice in mental health research. Racial/ethnic minorities are underrepresented in brain and mental health (BMH) research, risking inadequate healthcare for the 9.5 million minorities in Australia. With the $73 billion annual cost of BMH disorders to the country, all Australians should equally benefit from BMH research. This project aims to develop recommendations to make BMH research more diverse and inclusive. It will audit representation of minorities in Australian BMH publications and will conduct surveys, interviews, and workshops with scientists to determine institutional barriers to the inclusion of and engagement with minorities in research. This project will draw from concepts of epistemic justice and anti-racism to develop ethical frameworks for BMH racial equity.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 Ageism in Australia. Ageism refers to stereotypes, prejudice and discrimination towards people based on their age. This project aims to generate new knowledge in relation to older Australians’ experiences of ageism by conducting a population-based survey of ageism and examining its links with mental health and wellbeing. The project will also use intensive longitudinal methods to study everyday ageism. Expected outcomes include identification of at-risk groups that can be used to i ....Understanding Ageism in Australia. Ageism refers to stereotypes, prejudice and discrimination towards people based on their age. This project aims to generate new knowledge in relation to older Australians’ experiences of ageism by conducting a population-based survey of ageism and examining its links with mental health and wellbeing. The project will also use intensive longitudinal methods to study everyday ageism. Expected outcomes include identification of at-risk groups that can be used to inform government policy responses to tackling ageism and will inform the development of interventions and education programs to reduce ageism in the community. This should provide significant benefits for social inclusion, intergenerational solidarity and economic participation Read moreRead less
The cost of keeping gruesome images from the world. This project aims to investigate one of society’s most invisible ‘frontline’ trauma workforces—the online content moderators responsible for limiting the public’s exposure to distressing and sensitive content on social media. Using a series of rigorous experiments, and cutting-edge psychological and physiological assessment techniques, the research will advance our understanding of the impact of indirect trauma on mental health. Expected outcom ....The cost of keeping gruesome images from the world. This project aims to investigate one of society’s most invisible ‘frontline’ trauma workforces—the online content moderators responsible for limiting the public’s exposure to distressing and sensitive content on social media. Using a series of rigorous experiments, and cutting-edge psychological and physiological assessment techniques, the research will advance our understanding of the impact of indirect trauma on mental health. Expected outcomes include novel empirical evidence for preventative strategies that will predict, monitor and reduce negative mental health outcomes. This will provide significant global benefits to people with indirect trauma experiences, such as defence and forensic personnel.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100535
Funder
Australian Research Council
Funding Amount
$410,000.00
Summary
Workplace mental health: Aligning employer incentives with societal benefit. The workplace is an underutilised platform to improve mental health. This is a particularly urgent problem for the healthcare workforce. This project aims to investigate ways to encourage employers to create mentally healthy workplaces. By pioneering use of economic methods, this project expects to generate much-needed knowledge on conflicting incentives that are hindering employer action. Expected outcomes include evid ....Workplace mental health: Aligning employer incentives with societal benefit. The workplace is an underutilised platform to improve mental health. This is a particularly urgent problem for the healthcare workforce. This project aims to investigate ways to encourage employers to create mentally healthy workplaces. By pioneering use of economic methods, this project expects to generate much-needed knowledge on conflicting incentives that are hindering employer action. Expected outcomes include evidence on how potential policy reforms would affect employers' behaviour, and how they see value for money of workplace mental health initiatives. By informing successful policy change, the project should improve employee wellbeing and increase productivity, which will benefit employers, employees, and society.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100435
Funder
Australian Research Council
Funding Amount
$365,039.00
Summary
Modern statistical methods for complex multivariate longitudinal data. The project aims to develop novel approaches for the statistical analysis of large, complex multivariate longitudinal data, and apply them to two datasets to address scientific questions related to the drivers and consequences of poor physical and mental health in Australia, and the spatio-temporal evolution of species assemblages in the Southern Ocean. The project expects to develop new knowledge in the areas of statistical ....Modern statistical methods for complex multivariate longitudinal data. The project aims to develop novel approaches for the statistical analysis of large, complex multivariate longitudinal data, and apply them to two datasets to address scientific questions related to the drivers and consequences of poor physical and mental health in Australia, and the spatio-temporal evolution of species assemblages in the Southern Ocean. The project expects to develop new knowledge in the areas of statistical model building, model selection, and inference for multivariate longitudinal data. This will lead to a suite of modern methods and insights for computationally efficient, mathematically rigorous statistical data analysis that, when applied, should provide significant benefits to public health and ecology.Read moreRead less