Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the mat ....Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the matching of the clusters across the entities in the class. The project will use a statistical approach to automatically match the clusters, since the overall mixture model provides a template for the class. It will provide a basis for discriminating between different classes in addition to the identification of atypical data points within a sample and of anomalous samples within a class. Key applications include biological image analysis and the analysis of data in flow cytometry which is one of the fundamental research tools for the life scientist.Read moreRead less
Identification Power and Instrument Strength in Discrete Outcome Models. This project aims to develop new econometric and statistical techniques to quantify causal effects in treatment models with discrete outcomes. Expected outcomes include a much-needed weak instrument test, a measure for identification strength in partial identification setting, and an instrument-covariate selection procedure for high dimensional discrete models based identification power. The benefits include advanced knowle ....Identification Power and Instrument Strength in Discrete Outcome Models. This project aims to develop new econometric and statistical techniques to quantify causal effects in treatment models with discrete outcomes. Expected outcomes include a much-needed weak instrument test, a measure for identification strength in partial identification setting, and an instrument-covariate selection procedure for high dimensional discrete models based identification power. The benefits include advanced knowledge in econometrics and statistics, and enhanced tools for program evaluation and policy assessment in empirical causal analysis using observational data. The project falls into the category of smarter information use and is relevant to any national priority areas where policy interventions require assessment.Read moreRead less
New estimation and testing issues in nonlinear time series econometrics. The outcomes of this project will not only complement but also enhance the existing strengths of Australian researchers in the field of econometrics. The outcomes are also expected to help stabilise the national financial market for more accurate forecasts. It is also expected that the outcomes will provide novel models to respond to climate change and variability and to provide accurate warming estimates for improving the ....New estimation and testing issues in nonlinear time series econometrics. The outcomes of this project will not only complement but also enhance the existing strengths of Australian researchers in the field of econometrics. The outcomes are also expected to help stabilise the national financial market for more accurate forecasts. It is also expected that the outcomes will provide novel models to respond to climate change and variability and to provide accurate warming estimates for improving the policy making process.Read moreRead less
Structured barrier and penalty functions in infinite dimensional optimisation and analysis. Very large scale tightly-constrained optimisation problems are ubiquitous and include water management, traffic flow, and imaging at telescopes and hospitals. Massively parallel computers can solve such problems and provide physically realisable solution only if subtle design issues are mastered. Resolving such issues is the goal of this project.
Advanced algorithms for statistical mechanical models. Polymer science, percolation theory and models of magnetism are at the forefront of lattice statistical mechanics and condensed matter theory. Numerical techniques to determine the behaviour of model systems in these areas are predominantly Monte Carlo methods, series generation and analysis, or based on partition function zeroes. New algorithms have been developed for all three methods that are vastly more efficient than their predecessors. ....Advanced algorithms for statistical mechanical models. Polymer science, percolation theory and models of magnetism are at the forefront of lattice statistical mechanics and condensed matter theory. Numerical techniques to determine the behaviour of model systems in these areas are predominantly Monte Carlo methods, series generation and analysis, or based on partition function zeroes. New algorithms have been developed for all three methods that are vastly more efficient than their predecessors. Coupled with the availability of dramatically increased computer power, this project takes advantage of a unique position to make dramatic advances in the afore-mentioned research areas. Furthermore, the methods have wider applicability than those mentioned.Read moreRead less
Campus: Building Modern Australian Universities. This project plans to examine the post-World War Two evolution of the Australian university campus. Modern campuses created opportunities for the realisation of innovative solutions in urban planning, architecture and landscape. The project plans to reveal the physical impacts of political, institutional, social and cultural demands through comparative thematic investigation, digital visualisation and detailed case studies. Foregrounding landscape ....Campus: Building Modern Australian Universities. This project plans to examine the post-World War Two evolution of the Australian university campus. Modern campuses created opportunities for the realisation of innovative solutions in urban planning, architecture and landscape. The project plans to reveal the physical impacts of political, institutional, social and cultural demands through comparative thematic investigation, digital visualisation and detailed case studies. Foregrounding landscape and site, the project aims to establish new historical knowledge, identify campuses as catalysts for urban thinking, and demonstrate strategies for their conservation and adaptation to meet future needs in the tertiary sector.Read moreRead less
Supply-side dynamics in the private rental housing market. Demographic and socio-economic trends, along with changes in housing policy, have resulted in increased reliance on the private rental sector. This has led to growing concerns about its capacity to respond. Our understanding of the supply dynamics of this tenure, and particularly that of low rent housing, is underdeveloped. This gap in our knowledge is due to lack of data and to methodological difficulties. Recent advances in econometric ....Supply-side dynamics in the private rental housing market. Demographic and socio-economic trends, along with changes in housing policy, have resulted in increased reliance on the private rental sector. This has led to growing concerns about its capacity to respond. Our understanding of the supply dynamics of this tenure, and particularly that of low rent housing, is underdeveloped. This gap in our knowledge is due to lack of data and to methodological difficulties. Recent advances in econometric techniques, in conjunction with the assembly of a unique data set, will be used to examine previously untested explanations, including microlevel filtering, behavioural,hazard function and spatial analyses.Read moreRead less
Capacitating student aspirations in classrooms and communities in a high poverty region. This project studies the aspirations of students in a disadvantaged area, as cultural resources for completing school, accessing higher education and realising desirable futures. It will produce new concepts and research methods for increasing social equity by working closely with students and families, and making links between schools and communities.
Collective Engagement towards Social Purpose. This project aims to develop knowledge on how to engender collective engagement for a social purpose, such that the collective actions of the group facilitate well-being of the broader community. The project expects to generate new knowledge of how to drive the emergence of engagement from an individual to a collective level, and understand the benefits that can be gained by focusing this engagement on social purpose. Expected outcomes include measur ....Collective Engagement towards Social Purpose. This project aims to develop knowledge on how to engender collective engagement for a social purpose, such that the collective actions of the group facilitate well-being of the broader community. The project expects to generate new knowledge of how to drive the emergence of engagement from an individual to a collective level, and understand the benefits that can be gained by focusing this engagement on social purpose. Expected outcomes include measurement tools, an intervention framework for facilitating collective engagement, and mechanisms for leveraging this engagement for community well-being. This should provide significant benefits within organisations, by enhancing their social impact and facilitating economic growth and job creationRead moreRead less
Enhanced Humans, Robotics and the Future of Work. The aim of the project is to generate new and powerful understandings of the social consequences of robotics and artificial intelligence. The project aims to develop an understanding of technologically-mediated mobility processes and test their capacity to address such issues as social futures and the sorts of digital skills that Australians will require for future jobs. It plans to use social theory to explore technological scenarios and hypothe ....Enhanced Humans, Robotics and the Future of Work. The aim of the project is to generate new and powerful understandings of the social consequences of robotics and artificial intelligence. The project aims to develop an understanding of technologically-mediated mobility processes and test their capacity to address such issues as social futures and the sorts of digital skills that Australians will require for future jobs. It plans to use social theory to explore technological scenarios and hypotheses concerning possible societal futures in Australia and beyond. Project outcomes may inform social science and contribute to worldwide efforts to solve global policy problems from work and unemployment to lifestyle change.Read moreRead less