Mental health, job quality and workforce participation: evidence from population health research to address complex problems and conflicting policies. Mental disorders such as depression are a major cause of disability. Improving mental health can increase productivity and workforce participation. However, the psychosocial quality of work is a factor that overlays the relationship between work and health. Poor quality work (for example, unreasonable time pressure, insecurity) increases the risk ....Mental health, job quality and workforce participation: evidence from population health research to address complex problems and conflicting policies. Mental disorders such as depression are a major cause of disability. Improving mental health can increase productivity and workforce participation. However, the psychosocial quality of work is a factor that overlays the relationship between work and health. Poor quality work (for example, unreasonable time pressure, insecurity) increases the risk of poor mental health, absenteeism, and exit from the workforce. This project will analyse data following people over time to investigate the long-term health and employment consequences of poor psychosocial job quality, and consider the special case of mature age workers. It will identify those individuals at greatest risk, and factors that can buffer against the adverse effects of poor quality work.Read moreRead less
Informing intervention responses to violent offenders through data linkage. The project aims to capitalise on new data access capacity to improve knowledge on violent offender pathways and criminogenic needs, such as acquired brain injury, to reduce offending and re-offending. Violence is a major social and health issue nationally and internationally. While there has been substantial investment in treatment/prevention campaigns, rates of violence remain high. Using diverse linked administrative ....Informing intervention responses to violent offenders through data linkage. The project aims to capitalise on new data access capacity to improve knowledge on violent offender pathways and criminogenic needs, such as acquired brain injury, to reduce offending and re-offending. Violence is a major social and health issue nationally and internationally. While there has been substantial investment in treatment/prevention campaigns, rates of violence remain high. Using diverse linked administrative data, we will identify key risk factors and times in trajectories, as well as effective treatment/justice responses. Expected benefits include evidence-based recommendations and engagement with policymakers targeting recidivism, offender screening, treatment, and coordinated violence prevention policy and practice.Read moreRead less
Borderline Personality as Social Phenomena. Mental disorders attract social stigma and those diagnosed are widely misunderstood. This project aims to collect and analyse accounts of people living with Borderline Personality Disorder (BPD) - mainly women - and perspectives of social support practitioners. The intended outcome is to provide a sophisticated understanding of BPD as a social phenomenon, develop sociological evidence based on lived experiences and generate Australian digital resources ....Borderline Personality as Social Phenomena. Mental disorders attract social stigma and those diagnosed are widely misunderstood. This project aims to collect and analyse accounts of people living with Borderline Personality Disorder (BPD) - mainly women - and perspectives of social support practitioners. The intended outcome is to provide a sophisticated understanding of BPD as a social phenomenon, develop sociological evidence based on lived experiences and generate Australian digital resources including narratives of BPD, creative outputs and practitioner perspectives. The anticipated goal of this project is to inform policy and community responses addressing stigma and marginalisation, and the improvement of social support for those affected by BPD.Read moreRead less
A social psychology of affective disturbance. We are in the midst of a depression and anxiety epidemic that cannot be explained by focusing on individual experiences alone. We desperately need to understand the cultural contributors to depression and anxiety, thereby providing insight into the epidemiology of these conditions. Drawing on experimental studies, longitudinal sampling of daily emotional experiences, and multi-national data, the research will show how cultural contexts may exacerbate ....A social psychology of affective disturbance. We are in the midst of a depression and anxiety epidemic that cannot be explained by focusing on individual experiences alone. We desperately need to understand the cultural contributors to depression and anxiety, thereby providing insight into the epidemiology of these conditions. Drawing on experimental studies, longitudinal sampling of daily emotional experiences, and multi-national data, the research will show how cultural contexts may exacerbate individual-level affective disturbance and demonstrate the processes through which occurs. The findings will make a timely and much needed contribution to public policy decisions and preventive health care.Read moreRead less
Emotion regulation in daily life: Capturing context and flexibility. This project aims to understand the role of contextual and individual factors in effective emotion regulation in daily life. The ability to manage emotions is central to virtually every aspect of psychosocial functioning and wellbeing. However, because research in this domain has relied heavily on laboratory methods, very little is known about emotion regulation as it naturally occurs in daily life. Using cutting-edge mobile te ....Emotion regulation in daily life: Capturing context and flexibility. This project aims to understand the role of contextual and individual factors in effective emotion regulation in daily life. The ability to manage emotions is central to virtually every aspect of psychosocial functioning and wellbeing. However, because research in this domain has relied heavily on laboratory methods, very little is known about emotion regulation as it naturally occurs in daily life. Using cutting-edge mobile technologies, this project aims to uncover when, and for whom, various forms of emotion regulation are most effective in daily life. Besides a significantly improved scientific understanding of emotion regulation, this project is expected to inform the development of novel person - and situation-specific interventions in the many applied domains involving emotion regulation.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
Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the ....Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.Read moreRead less