Advanced matrix-analytic methods with applications. Over the last twenty-five years, matrix-analytic methods have proved to be very successful in formulating and analysing certain classes of stochastic models. Motivated by applications, this project will investigate more advanced matrix-analytic methods than have hitherto been studied.
Sustainable fiscal federalism and reform of the GST distribution system. The primary source of funds for Australian States and Territories is GST revenue distributed by the Commonwealth using an equalisation formula that has proved to be politically unsustainable and in recent times manifestly inadequate to provide the revenue needed in response to crises and natural disasters. A tipping point has been reached and reform is urgently needed. Drawing on international experience with GST distributi ....Sustainable fiscal federalism and reform of the GST distribution system. The primary source of funds for Australian States and Territories is GST revenue distributed by the Commonwealth using an equalisation formula that has proved to be politically unsustainable and in recent times manifestly inadequate to provide the revenue needed in response to crises and natural disasters. A tipping point has been reached and reform is urgently needed. Drawing on international experience with GST distributions specifically and fiscal federalism more generally, the project aims to develop a reform blueprint for a sustainable and equitable fiscal federalism regime in Australia that best aligns with Australia’s current and long-term fiscal needs.Read moreRead less
Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encodi ....Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encoding and retrieval processes, the model can assess how changes in different sources of interference modulate performance through the trajectory of early development. Hierarchical Bayesian estimation aims to enable a simultaneous account of multiple tasks and support future deployment in applied contexts.Read moreRead less
Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time ....Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time, and confidence, suitable for application to computerized testing scenarios. The models and testing methods validated in the laboratory will be refined for application in eyewitness memory settings, facilitating better evaluation of identification evidence, and potentially reducing wrongful convictions.Read moreRead less
Mapping the effect of social enterprise on regional city disadvantage. This project aims to explore how social enterprises affect wellbeing and community capacity in disadvantaged areas of regional cities. Governments increasingly invest in social enterprise to benefit individuals and places. This project will use a spatial methodology to map where and how benefits are realised. To date, robust evidence about how social enterprise affects disadvantage is lacking, partly due to inadequate researc ....Mapping the effect of social enterprise on regional city disadvantage. This project aims to explore how social enterprises affect wellbeing and community capacity in disadvantaged areas of regional cities. Governments increasingly invest in social enterprise to benefit individuals and places. This project will use a spatial methodology to map where and how benefits are realised. To date, robust evidence about how social enterprise affects disadvantage is lacking, partly due to inadequate research methodology. This project expects to provide web-based design tools and applications to assist regional city communities and councils in the development of social enterprises that can help disadvantaged people and places.Read moreRead less
Optimising the roles of online communities in rural resilience . This research will use data from online communities to identify roles they do, and could play, in rural resilience. It uses social media analytics and spatial methodology to taxonomise and map service topics and social resilience from online communities. Governments call for rural service innovation. To date, robust evidence about online versus local services needed, is lacking. This is partly due to lack of data about diverse cons ....Optimising the roles of online communities in rural resilience . This research will use data from online communities to identify roles they do, and could play, in rural resilience. It uses social media analytics and spatial methodology to taxonomise and map service topics and social resilience from online communities. Governments call for rural service innovation. To date, robust evidence about online versus local services needed, is lacking. This is partly due to lack of data about diverse consumers' priorities and gaps. Social media could offer latent insights, but ethical methodology producing useful de-identified policy insights has been lacking. This study exemplifies applying social media data analytics at scale to address policy problems and will produce up-to-date co-designed data use guidelines.Read moreRead less
The role of leaf veins in vascular plant evolution. Leaves are continuously irrigated by a system of internal plumbing that defines their maximum photosynthetic output, and angiosperms are the most productive plants on earth largely by virtue of a uniquely efficient system of leaf plumbing. This project will identify how such an important modification of leaf water transport came to evolve.
Enabling social innovation for local climate adaptability. Climate variability and change is likely to be felt most acutely at the local scale in Australia. This is where inter/national and State policies are translated into practices to prepare for, and adapt to, anticipated impacts of heatwaves, bushfires and floods. This project will investigate tensions and potentialities between risk-based assessments by local governance agencies and innovations by local groups and Non-Government Organisati ....Enabling social innovation for local climate adaptability. Climate variability and change is likely to be felt most acutely at the local scale in Australia. This is where inter/national and State policies are translated into practices to prepare for, and adapt to, anticipated impacts of heatwaves, bushfires and floods. This project will investigate tensions and potentialities between risk-based assessments by local governance agencies and innovations by local groups and Non-Government Organisations. The research will utilise an innovative mixed-methods approach to investigate and to analyse the strategies and experiments of adaptation practices. It aims to develop new ways of identifying and implementing practical, local, adaptive responses that are contextually relevant, socially innovative and capacity building.Read moreRead less