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
Thwarted Identity: The Missing Link Between Psychopathology and Prejudice. Prejudice and the extremist violence that arises from it are typically explained either by the psychopathology of individual perpetrators, or by their membership of extremist groups. This project will seek to reconcile these competing explanations and resolve this impasse that has obstructed progress in combating prejudice. This project develops a new framework specifying causal and reciprocal links between the novel conc ....Thwarted Identity: The Missing Link Between Psychopathology and Prejudice. Prejudice and the extremist violence that arises from it are typically explained either by the psychopathology of individual perpetrators, or by their membership of extremist groups. This project will seek to reconcile these competing explanations and resolve this impasse that has obstructed progress in combating prejudice. This project develops a new framework specifying causal and reciprocal links between the novel concept of thwarted identity, psychopathology, ideology, and prejudice. Expected outcomes are new policy solutions and novel targets for interventions to reduce prejudice and extremist violence, which will deliver significant benefit by addressing these pernicious social problems.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
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