The institutional structure of e-government: a cross-policy, cross-country comparison. Governments have expended vast resources on building websites, yet how government is structured on the internet is unknown. This project will map Australia's online government for the first time and assess to how websites are supporting improved government service. The study will support government innovation in web design and service delivery.
Learned Academies Special Projects - Grant ID: LA170100011
Funder
Australian Research Council
Funding Amount
$170,000.00
Summary
The use of big data for social policy: benefits and risks. This project aims to investigate the benefits and risks of using ‘big data’ and analytics for social policy. Drawing on documentary sources and interviews with experts and stakeholders, the project will use five case studies to examine the capability, underlying assumptions and possible impacts of such techniques. The project will bring together a multi-disciplinary team of social and data scientists to identify the infrastructural, tech ....The use of big data for social policy: benefits and risks. This project aims to investigate the benefits and risks of using ‘big data’ and analytics for social policy. Drawing on documentary sources and interviews with experts and stakeholders, the project will use five case studies to examine the capability, underlying assumptions and possible impacts of such techniques. The project will bring together a multi-disciplinary team of social and data scientists to identify the infrastructural, technical, and social, ethical and legal issues that need to be addressed. The project will define key issues for future research, promote collaboration between the social sciences and big data disciplines, while creating opportunities for building capability for researchers in the social sciences. Read moreRead less
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100074
Funder
Australian Research Council
Funding Amount
$580,000.00
Summary
Data Co-operative Platform for Social Impact and Wellbeing. The Data Cooperative (Co-Op) Platform for Social Impact and Wellbeing aims to make data-driven research and decision-making in the social sciences more effective and efficient by developing infrastructure to support data integration and harmonisation of diverse data resources. Social research relies on a vast array of data types and sources, both open and confidential, making data analysis complex and time-consuming. This project will d ....Data Co-operative Platform for Social Impact and Wellbeing. The Data Cooperative (Co-Op) Platform for Social Impact and Wellbeing aims to make data-driven research and decision-making in the social sciences more effective and efficient by developing infrastructure to support data integration and harmonisation of diverse data resources. Social research relies on a vast array of data types and sources, both open and confidential, making data analysis complex and time-consuming. This project will drive innovation across a range of critical social issues that require integrated data for research and social innovation including healthcare, better outcomes for disadvantaged and vulnerable groups, resilient urban, rural and regional communities, and increasing our capacity to respond to climate change. Read moreRead less