Inequality, Prosperity and the Australian Welfare State. This project aims to clarify contested understandings of Australian inequality and the role of economic and social policies in addressing policy challenges going forward. The objective of the project is to generate significantly improved knowledge of inequality in Australia using innovative approaches of data splicing, decomposition, simulation and backcasting to fill research gaps and resolve contested interpretations. We aim to provide a ....Inequality, Prosperity and the Australian Welfare State. This project aims to clarify contested understandings of Australian inequality and the role of economic and social policies in addressing policy challenges going forward. The objective of the project is to generate significantly improved knowledge of inequality in Australia using innovative approaches of data splicing, decomposition, simulation and backcasting to fill research gaps and resolve contested interpretations. We aim to provide a benchmark and robust framework against which policy development after the current crisis can be evaluated. This project aims to provide significant benefits, keeping Australia at the forefront of research on inequality and public policy, strengthening links between researchers and policy makers.
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Childhood poverty in Indonesia. This project aims to offer solutions to childhood poverty in Indonesia, where over half the child population live on less than $2 per day. More effective responses to childhood poverty, one of the greatest challenges facing the world, are needed. This project will extend theories of multidimensional poverty to children, reflecting their experience and priorities; analyse similarities and differences between child- and adult-centred conceptualisations of childhood ....Childhood poverty in Indonesia. This project aims to offer solutions to childhood poverty in Indonesia, where over half the child population live on less than $2 per day. More effective responses to childhood poverty, one of the greatest challenges facing the world, are needed. This project will extend theories of multidimensional poverty to children, reflecting their experience and priorities; analyse similarities and differences between child- and adult-centred conceptualisations of childhood poverty; and develop a replicable child-centred methodology for assessing childhood poverty. The project expects to produce policy-relevant findings that move beyond adult-centric definitions and contribute to more effective responses to child poverty.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.
Stewarding thin markets: improving public sector market effectiveness. This project aims to develop methodologies to identify thin markets in the public service sector. Thin markets, where there are a low number of buyers or low number of sellers, are a major risk for governments utilising a personalised approach to service delivery. This project will develop new methodologies for identifying thin markets and determine ways emerging markets can be stewarded to better achieve their aims.
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