Connecting social policy and urban planning for a low carbon future. Australia has one of the most carbon intensive economies in the developed world. This project aims to identify policy synergies between environmental, economic and social policies that can move Australia toward a low carbon economy and model of sustainable prosperity. The project plans to place questions about poverty, transport and urban planning at the heart of examining how developed nations can move past a high carbon model ....Connecting social policy and urban planning for a low carbon future. Australia has one of the most carbon intensive economies in the developed world. This project aims to identify policy synergies between environmental, economic and social policies that can move Australia toward a low carbon economy and model of sustainable prosperity. The project plans to place questions about poverty, transport and urban planning at the heart of examining how developed nations can move past a high carbon model of economic growth and city planning. It aims to use innovative research methods, such as cross-national comparisons, political discourse analysis, planning case studies and deliberative public forums to engage the community, scientists and policy makers in re-imagining Australia's future.Read moreRead less
Government purchased services for children. Government purchased services for children. This project aims to establish ways the Chinese government can avoid the quality and accountability problems other countries’ governments have faced when purchasing child welfare services over the last 30 years. Using six regional case studies and government national datasets, this project will identify the effect of new purchasing models and address significant regulatory risks in China’s burgeoning welfare ....Government purchased services for children. Government purchased services for children. This project aims to establish ways the Chinese government can avoid the quality and accountability problems other countries’ governments have faced when purchasing child welfare services over the last 30 years. Using six regional case studies and government national datasets, this project will identify the effect of new purchasing models and address significant regulatory risks in China’s burgeoning welfare state. Findings are expected to build governments’ capacity to purchase good quality, equitable services for children; improve outcomes for millions of Chinese children; and build new theories of government contracting, service system governance, and global social policy convergence and transfer, relevant for Chinese and Australian social services.Read moreRead less
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.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100185
Funder
Australian Research Council
Funding Amount
$220,000.00
Summary
Linked data policy hub: connected resources for social research. This project will enable researchers working on complex social and public policy problems to analyse and visualise relationships between documents and data sets from a wide range of sources in order to better understand underlying patterns and trends.
Determining the Impact of Social Protection Policy on Work Disability. . This project will develop new knowledge on the impact of social protection policy and process on work disability. The mixed methods project uses data linkage, epidemiological and qualitative methods to study the impact of policy change on access to the Disability Support Pension (DSP), the experiences of DSP applicants and recipients, and to examine the transition of people with long-term work disability between workers’ co ....Determining the Impact of Social Protection Policy on Work Disability. . This project will develop new knowledge on the impact of social protection policy and process on work disability. The mixed methods project uses data linkage, epidemiological and qualitative methods to study the impact of policy change on access to the Disability Support Pension (DSP), the experiences of DSP applicants and recipients, and to examine the transition of people with long-term work disability between workers’ compensation and social security systems. Through multi-disciplinary and cross-sector collaborations established, it is anticipated that the Fellowship will inform future social policy development and service delivery, and develop capacity to evaluate social protection programs and policy shifts as they occur. Read moreRead less
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