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
Welfare receipt, demoralisation and mental health: how can welfare reform promote personal wellbeing and social inclusion? Welfare recipients are more likely to experience mental disorders and have poor wellbeing than non-recipients, and this can be a barrier to employment. This project examines the factors that may improve their mental health, promote employment outcomes, and help the Commonwealth Government develop effective welfare reform policies.
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
The impact of outdoor youth programs on positive adolescent development: an empirical evaluation. This project will seek to ensure that the nation's outdoor resources are fully utilised for the benefit of young people. Accordingly, this project will conduct the first comprehensive randomised controlled trial of a structured outdoor youth program in order to inform more strategic investment in outdoor programs to promote positive youth development.
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