Bayesian estimation of flexible spatial models with applications in medical imaging and econometric modeling. This project aims to develop statistical methodology for estimating flexible highly parameterised Bayesian spatial models. The flexible models examined will include regression, choice and time series models for data that is spatially registered. Spatial smoothing of parameters in the models will involve application of hierarchical spatial prior distributions. The resulting methodology wi ....Bayesian estimation of flexible spatial models with applications in medical imaging and econometric modeling. This project aims to develop statistical methodology for estimating flexible highly parameterised Bayesian spatial models. The flexible models examined will include regression, choice and time series models for data that is spatially registered. Spatial smoothing of parameters in the models will involve application of hierarchical spatial prior distributions. The resulting methodology will be applied to the analysis of medical imaging data and to the estimation of spatial econometric models of residential real estate prices. The expected outcomes include developments in the frontier framework of Bayesian computational estimation methodology, improved methods for medical image processing and estimation of high resolution spatial models of residential real estate prices in Australian metropolitan centres.Read moreRead less
Computational methods for population-size-dependent branching processes. Branching processes are the primary mathematical tool used to model populations that evolve randomly in time. Most key results in the theory are derived under the simplifying assumption that individuals reproduce and die independently of each other. However, this assumption fails in most real-life situations, in particular when the environment has limited resources or when the habitat has a restricted capacity. This project ....Computational methods for population-size-dependent branching processes. Branching processes are the primary mathematical tool used to model populations that evolve randomly in time. Most key results in the theory are derived under the simplifying assumption that individuals reproduce and die independently of each other. However, this assumption fails in most real-life situations, in particular when the environment has limited resources or when the habitat has a restricted capacity. This project aims to develop novel and effective algorithmic techniques and statistical methods for a class of branching processes with dependences. We will use these results to study significant problems in the conservation of endangered island bird populations in Oceania, and to help inform their conservation management.Read moreRead less
Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct b ....Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct bioregions and characterise species’ environmental responses, they should significantly enhance evaluations of the impact of human activity and environmental change on coral diversity. Ultimately, these evaluations can underpin future decisions in the conservation and management of the Great Barrier Reef.Read moreRead less
Predicting the effect of climate change on community structure and function: an assessment using temperate grassland invertebrates. This research will set the future agenda for assessing community responses to climate change worldwide. Our findings will be a robust template for future research to incorporate sophisticated multi-species assessments across all taxa and biomes. Results and conclusions from this research will aid graziers, agronomists, government agencies and conservation groups wor ....Predicting the effect of climate change on community structure and function: an assessment using temperate grassland invertebrates. This research will set the future agenda for assessing community responses to climate change worldwide. Our findings will be a robust template for future research to incorporate sophisticated multi-species assessments across all taxa and biomes. Results and conclusions from this research will aid graziers, agronomists, government agencies and conservation groups working in urban, rural and regional landscapes to prepare for changes in species relationships over the coming century. The team of early career researchers will also prepare the next generation of scientists for cutting edge ecological and statistical research within a dynamic and multidisciplinary context.Read moreRead less
Empirical and computational solutions for multi-omics single-cell assays. Emerging single-cell sequencing technologies are transforming molecular cell biology, but identifying novel cell types and their functions requires the integration of highly heterogeneous data. The development of computational methods able to extract biologically relevant results is hindered by the lack of high-quality datasets. This project aims to develop novel sequencing methodologies and generate data to drive our dime ....Empirical and computational solutions for multi-omics single-cell assays. Emerging single-cell sequencing technologies are transforming molecular cell biology, but identifying novel cell types and their functions requires the integration of highly heterogeneous data. The development of computational methods able to extract biologically relevant results is hindered by the lack of high-quality datasets. This project aims to develop novel sequencing methodologies and generate data to drive our dimension reduction multivariate method developments for data integration. By combining in silico and in vivo approaches, the project is anticipated to benefit scientists willing to work in cutting-edge single-cell research by providing useful protocols and tools to generate novel insights in cell biology. Read moreRead less
Overseeing the internet: new paradigms of network measurement. Like the electricity network, the internet is a core infrastructure, and so must be reliable and efficient. A gap in bandwidth supply is like a blackout in terms of lost business and productivity. This project will provide the measurement breakthroughs to ensure that network behaviour can be accurately and comprehensively monitored.
The Responsibilities of the Affluent to Address Global Poverty. Australia is a wealthy country surrounded by less developed countries. This project will serve as a guide to a morally defensible Australian foreign policy and in particular as an aid for policy makers working on foreign assistance, international trade, and environmental policy. It is important to observe that in order to safeguard Australian national security it is prudent to address the issue of global poverty. Although terrorists ....The Responsibilities of the Affluent to Address Global Poverty. Australia is a wealthy country surrounded by less developed countries. This project will serve as a guide to a morally defensible Australian foreign policy and in particular as an aid for policy makers working on foreign assistance, international trade, and environmental policy. It is important to observe that in order to safeguard Australian national security it is prudent to address the issue of global poverty. Although terrorists and other threats seem seldom to be motivated by considerations of fairness, sympathy with and support for their actions seems often rooted in the perception that they are acting on behalf of the poor and impoverished.Read moreRead less
Boundary Crossing Analysis for Random Processes with Applications to Risk Management. Effective management of environmental, financial and superannuation investment risks is vitally important for Australia. Results of the project will add to the theoretical foundations of risk management and provide new computational tools for specialists working in the areas of financial engineering, insurance, superannuation funds. These tools will assist in improving risk profile evaluation and developing new ....Boundary Crossing Analysis for Random Processes with Applications to Risk Management. Effective management of environmental, financial and superannuation investment risks is vitally important for Australia. Results of the project will add to the theoretical foundations of risk management and provide new computational tools for specialists working in the areas of financial engineering, insurance, superannuation funds. These tools will assist in improving risk profile evaluation and developing new statistical control charts for security monitoring of epidemics, networks intrusions and other potentially dangerous changes. The research will also give Australia a competitive advantage in the area of education related to stochastic processes, mathematical finance, control theory and their applications.Read moreRead less
Religion, pluralism, and healthcare practice: a philosophical assessment. This project aims to develop a systematic approach to accommodating religious values and practices in healthcare. Current approaches are ad hoc and discriminatory, and in an increasingly religiously diverse contemporary Australia, a systematic approach is needed. This project will consider and provide policy advice on how healthcare could be reformed so that the issue of accommodation of religious values and practices is t ....Religion, pluralism, and healthcare practice: a philosophical assessment. This project aims to develop a systematic approach to accommodating religious values and practices in healthcare. Current approaches are ad hoc and discriminatory, and in an increasingly religiously diverse contemporary Australia, a systematic approach is needed. This project will consider and provide policy advice on how healthcare could be reformed so that the issue of accommodation of religious values and practices is treated in a consistent and ethical manner. The benefit of the project will be a better, cost effective, model for healthcare management that reduces disparities for disadvantaged and vulnerable groups.Read moreRead less
Price Transparency, Search, and Collusion in Markets. Online search platforms and 'open data' policies are emerging to empower consumers with price information for decision-making in markets, yet also can enable collusive pricing. This project aims to study the competitive impact of search platforms by combining large, real-time datasets on firm pricing and consumer search with natural and field experiments. The project expects to facilitate the development of new models of collusion, consumer s ....Price Transparency, Search, and Collusion in Markets. Online search platforms and 'open data' policies are emerging to empower consumers with price information for decision-making in markets, yet also can enable collusive pricing. This project aims to study the competitive impact of search platforms by combining large, real-time datasets on firm pricing and consumer search with natural and field experiments. The project expects to facilitate the development of new models of collusion, consumer search, and platform adoption. This should yield substantial benefit by modernizing competition policy for the digital age through novel data-driven screens for collusion, and policies to encourage platform adoption and enable consumers’ use of data in decision-making to increase competition in markets.Read moreRead less