Improving decision making in government service delivery using third party providers. This project focuses on analysing and improving decision making in government service delivery through two complementary parts: examining the range of models/potential models used by government agencies through 3rd party providers; and investigating how specific relations are managed/improved in selected industries (childcare, ageing, disability services). Our approaches encompass policy process theories, contr ....Improving decision making in government service delivery using third party providers. This project focuses on analysing and improving decision making in government service delivery through two complementary parts: examining the range of models/potential models used by government agencies through 3rd party providers; and investigating how specific relations are managed/improved in selected industries (childcare, ageing, disability services). Our approaches encompass policy process theories, contractual management, alternative service delivery, citizen empowerment theories, new institutional economics, industry impact analysis, and new modes of accountability. Analytical methods include survey and statistical investigations, comparative historical methods, case studies, comparative research with Canadian and NZ experts.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