Fake News and Post-Truth Impacts: Responses to Conflictive Uncertainty. Attributions of fake news and post-truth are symptoms of uncertainty arising from conflicting information. Little is known about human responses to conflictive uncertainty other than that people find it aversive. This project aims to identify the determinants of human attitudes towards conflictive uncertainty. The aims will be achieved via the development of measures of attitudes toward conflictive uncertainty, and studies i ....Fake News and Post-Truth Impacts: Responses to Conflictive Uncertainty. Attributions of fake news and post-truth are symptoms of uncertainty arising from conflicting information. Little is known about human responses to conflictive uncertainty other than that people find it aversive. This project aims to identify the determinants of human attitudes towards conflictive uncertainty. The aims will be achieved via the development of measures of attitudes toward conflictive uncertainty, and studies identifying the major influences thereof. Expected outcomes include advances in knowledge of how conflictive uncertainty attitudes relate to risk orientations, personality, and situational factors. Anticipated benefits include improved strategies for decision makers and communicators faced with conflictive uncertainty.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: DE190101382
Funder
Australian Research Council
Funding Amount
$325,000.00
Summary
Optimising digital mental health care: how technology is used in practice. This project aims to develop the first national consensus statement on the use of technology in mental health care in Australia. The project will examine how Australian health practitioners currently use digital therapy programs, and synthesise this data with international evidence and input from Australian government, health service, and digital health experts. This project expects to improve the implementation of digita ....Optimising digital mental health care: how technology is used in practice. This project aims to develop the first national consensus statement on the use of technology in mental health care in Australia. The project will examine how Australian health practitioners currently use digital therapy programs, and synthesise this data with international evidence and input from Australian government, health service, and digital health experts. This project expects to improve the implementation of digital therapy tools using an innovative, theory-driven approach. Expected outcomes of this project include increased and optimal implementation of digital therapy tools among mental health care providers and enhanced capacity within the Australian health system to meet the high demand for services in the community.Read moreRead less
Force-from-lipids biophysical principle underlying mechanotransduction. The major aim of this project is to determine evolutionary conserved physical principles of mechanotransduction in living cells through structure and function studies of PIEZO mechanoreceptor channels playing a crucial role in senses such as touch and pain in animals and humans. Mutations in these channels can cause numerous genetic disorders, including hereditary anaemias and joint contractures. Since they have been shown t ....Force-from-lipids biophysical principle underlying mechanotransduction. The major aim of this project is to determine evolutionary conserved physical principles of mechanotransduction in living cells through structure and function studies of PIEZO mechanoreceptor channels playing a crucial role in senses such as touch and pain in animals and humans. Mutations in these channels can cause numerous genetic disorders, including hereditary anaemias and joint contractures. Since they have been shown to respond to mechanical stimuli in the same manner as mechanoreceptor channels of organisms from bacteria to humans the intended outcome of this project is to uncover the unifying principles of mechanotransduction anchored in the laws of physics and chemistry that have guided the force-dependent design of all life forms.Read moreRead less
Promoting Child and Carer Wellbeing and Placement Stability in Kinship Care. Kinship care is the fastest growing out-of-home care placement in Australia, yet least supported. This project aims to implement and evaluate an attachment and trauma-based program for kinship carers, explore its suitability for cultural adaptation for Indigenous families and co-design practical resources to promote program sustainability and trauma-informed practice. This project is Australia’s first randomised trial o ....Promoting Child and Carer Wellbeing and Placement Stability in Kinship Care. Kinship care is the fastest growing out-of-home care placement in Australia, yet least supported. This project aims to implement and evaluate an attachment and trauma-based program for kinship carers, explore its suitability for cultural adaptation for Indigenous families and co-design practical resources to promote program sustainability and trauma-informed practice. This project is Australia’s first randomised trial of a tailored program for kinship carers and expects to generate vital knowledge on evidence-based support. Via implementing an innovative program for kinship carers in statutory child protection, this project should build capacity for research-based practice and benefit family wellbeing and placement outcomes in kinship care.Read moreRead less
Architectural design to improve Indigenous health outcomes. The project seeks to develop evidence-based knowledge on what Indigenous clients find supportive or stressful in health care settings, to formulate recommendations for architectural design and service delivery. Many Indigenous people fail to present for health care until chronically ill, due to fear or dislike of health services and their settings. This project aims to understand how design in healthcare architecture across different bu ....Architectural design to improve Indigenous health outcomes. The project seeks to develop evidence-based knowledge on what Indigenous clients find supportive or stressful in health care settings, to formulate recommendations for architectural design and service delivery. Many Indigenous people fail to present for health care until chronically ill, due to fear or dislike of health services and their settings. This project aims to understand how design in healthcare architecture across different building scales and services (clinics, hospitals, waiting rooms, wards etc) affects Indigenous people’s use and perceptions of these environments and consequent motivation to access health care services. Developing innovative and adaptable research methods, the project seeks to identify the necessary architectural design changes for health settings to facilitate access for Indigenous people.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100078
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Strengthening parent-child relationships to promote child adjustment. This project aims to provide new insight into how biological and foster parents can support their children during periods of heightened vulnerability when they transition to high school or a new foster care placement. It aims to address the shortage of relationally-focused prevention strategies tailored to both biological and foster parents’ needs and delivered at critical transitions in children’s lives. Outcomes are expected ....Strengthening parent-child relationships to promote child adjustment. This project aims to provide new insight into how biological and foster parents can support their children during periods of heightened vulnerability when they transition to high school or a new foster care placement. It aims to address the shortage of relationally-focused prevention strategies tailored to both biological and foster parents’ needs and delivered at critical transitions in children’s lives. Outcomes are expected to shed light on the effects of attachment quality and to advance evidence-based psychological practice in enhancing child adjustment.Read moreRead less
Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored ....Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.Read moreRead less