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.
Social relations and social engagement in older adulthood: implications for health, well being and cognition. This project will examine the nature of changes in peoples social networks that occur with age and the effects of these changes on health and well being in later life. The project will use information collected as part of several ongoing Australian studies of ageing and will have implications for social policy.
Welfare reform and welfare stigma : scroungers, slackers and bludgers? This project aims to build an evidence base of the prevalence, causes and consequences of welfare stigma in Australia. Welfare policies and proposed reforms aim to reduce welfare expenditure, increase workforce participation, and promote personal and family wellbeing. However, stigmatising attitudes and discrimination towards those receiving welfare benefits may undermine these policy goals: reducing employment opportunities ....Welfare reform and welfare stigma : scroungers, slackers and bludgers? This project aims to build an evidence base of the prevalence, causes and consequences of welfare stigma in Australia. Welfare policies and proposed reforms aim to reduce welfare expenditure, increase workforce participation, and promote personal and family wellbeing. However, stigmatising attitudes and discrimination towards those receiving welfare benefits may undermine these policy goals: reducing employment opportunities and causing poorer health and wellbeing. Through innovative experimental studies, the project plans to identify ways in which welfare policy can minimise stigma and promote employment. Project outcomes may provide an evidence base for the design of more effective welfare policy.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