Latent variable modelling of discrete choice experiments. Discrete choice experiments and models are used to forecast consumer responses to changes in products policies and programs worldwide. Recent research suggests key model assumptions are violated because error variances covary with observed and unobserved factors. In order to address this, we will model systematic relationships between error variances and observed (eg, prices, survey length) and unobserved (eg, 'convenience', 'reputation') ....Latent variable modelling of discrete choice experiments. Discrete choice experiments and models are used to forecast consumer responses to changes in products policies and programs worldwide. Recent research suggests key model assumptions are violated because error variances covary with observed and unobserved factors. In order to address this, we will model systematic relationships between error variances and observed (eg, prices, survey length) and unobserved (eg, 'convenience', 'reputation') factors to improve model reliability and accuracy. This should lead to more accurate models/forecasts, benefitting business and government, which addresses the national priority of 'frontier technologies, promoting an innovative culture and economy'.Read moreRead less
Modelling the Choices of Individuals. Individuals make decisions daily and some of these decisions have wide-reaching and long-term consequences, such as choices among housing, public transport, electoral candidates and health care options. The principal aim of this project is to develop reliable and valid ways to model individual level choice processes. Once completed, this will provide insights into ways to aggregate sampled observations when population-level applications are required, and all ....Modelling the Choices of Individuals. Individuals make decisions daily and some of these decisions have wide-reaching and long-term consequences, such as choices among housing, public transport, electoral candidates and health care options. The principal aim of this project is to develop reliable and valid ways to model individual level choice processes. Once completed, this will provide insights into ways to aggregate sampled observations when population-level applications are required, and allow us to compare and test several competing theories of choice behaviour. This will enable us to make contributions to understanding and modelling human decision making in many fields ranging from marketing to medicine.Read moreRead less
ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this ....ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this Centre is to create innovative mathematical and statistical models that can uncover the knowledge concealed within the size and complexity of these big data sets, with a focus on using the models to deliver insight into problems vital to the Centre's Collaborative Domains: Healthy People, Sustainable Environments and Prosperous Societies.Read moreRead less
Efficient Estimation of Statistical Models with Many Parameters. Statistical models are used extensively in business, engineering and the sciences to describe the behavior of systems subject to uncertainty. There are often many unknowns in such models and relatively little data to estimate them. The object of the research is to develop methods that make these statistical models practical to use. The research team will apply the methodology to solve problems in economics, finance, marketing and t ....Efficient Estimation of Statistical Models with Many Parameters. Statistical models are used extensively in business, engineering and the sciences to describe the behavior of systems subject to uncertainty. There are often many unknowns in such models and relatively little data to estimate them. The object of the research is to develop methods that make these statistical models practical to use. The research team will apply the methodology to solve problems in economics, finance, marketing and the analysis of gene expression data. The project will also train doctoral and postdoctoral students and enhance Australia's reputation for research excellence in the Statistical and Mathematical Sciences. Read moreRead less
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
Research Training, Scientists, Mobility and Innovation: enhancing comparative methodologies. The collaboration will facilitate transfer of research value mapping (RVM) methods and technologies from a leading US centre into Australia. The RVM program focus on university-business collaboration will orient future collaborative projects and analyses. This will enhance the state-of-the-art of research evaluation in Australia over time. Extension of the CIs unique survey database will incorporate comp ....Research Training, Scientists, Mobility and Innovation: enhancing comparative methodologies. The collaboration will facilitate transfer of research value mapping (RVM) methods and technologies from a leading US centre into Australia. The RVM program focus on university-business collaboration will orient future collaborative projects and analyses. This will enhance the state-of-the-art of research evaluation in Australia over time. Extension of the CIs unique survey database will incorporate comparative dimensions into research value mapping. A focus on Australian respondents in the international database (n=1300) will lead to analyses that inform science policy and scientist human resource development in Australia. This will provide a deeper understanding of Australia’s science role in the Asia Pacific region.Read moreRead less
Involving children in social research: balancing the risks and benefits. There is a growing consensus that children's involvement in social research is important, but considerable uncertainty remains around children's inclusion in research on 'sensitive' issues, reflecting concerns about how to balance children's protection with their participation. Key to this are deeply embedded assumptions and beliefs about children and childhood, especially concerning notions of capacity, agency, vulnerabili ....Involving children in social research: balancing the risks and benefits. There is a growing consensus that children's involvement in social research is important, but considerable uncertainty remains around children's inclusion in research on 'sensitive' issues, reflecting concerns about how to balance children's protection with their participation. Key to this are deeply embedded assumptions and beliefs about children and childhood, especially concerning notions of capacity, agency, vulnerability, dependency and the like. This project aims to better understand and address the tensions between the protection of children and their participation in research, and to explore how ethics committees, parents, other gatekeepers and children themselves manage and navigate these tensions.Read moreRead less
Learned Academies Special Projects - Grant ID: LA170100022
Funder
Australian Research Council
Funding Amount
$118,098.00
Summary
Nourishing Australia: a decadal plan for nutrition science. This project aims to develop a plan to address the complex health and environmental challenges associated with changes in food production and consumption. Since the industrial revolution, our understanding of human diet has lagged behind the rate of change. This project aims to better integrate knowledge across nutrients, foods, meals, diets, and dietary patterns to understand balance rather than single nutrients or commodities. It will ....Nourishing Australia: a decadal plan for nutrition science. This project aims to develop a plan to address the complex health and environmental challenges associated with changes in food production and consumption. Since the industrial revolution, our understanding of human diet has lagged behind the rate of change. This project aims to better integrate knowledge across nutrients, foods, meals, diets, and dietary patterns to understand balance rather than single nutrients or commodities. It will examine the broader context of nutrition from individuals to communities to nations, and globally, and develop a consistent theoretical framework for nutrition that includes both individual biology and the physical, social and biological environment. This will provide broad benefits for social, cultural, economic and health outcomes in the region.Read moreRead less
Learning the meso-scale organization of complex networks. This project aims to model and learn the organization of online social networks. We will combine mathematical models, inference, and domain knowledge from computational social sciences to obtain interpretable descriptions of the role groups of users play in the network. The expected outcomes are new mathematical models and computational methods that learn from data how to best decompose a complex network into building blocks and their int ....Learning the meso-scale organization of complex networks. This project aims to model and learn the organization of online social networks. We will combine mathematical models, inference, and domain knowledge from computational social sciences to obtain interpretable descriptions of the role groups of users play in the network. The expected outcomes are new mathematical models and computational methods that learn from data how to best decompose a complex network into building blocks and their interactions, linking connectivity to function. This should provide benefits to industries and policy makers interested in how information spreads in social media, including the critical questions of understanding the mechanisms contributing to political polarization and fragmentation.Read moreRead less
Soft modes in glasses: chemical control of relaxation and mechanical response. The unusual dynamical and mechanical properties of viscous liquids and glasses underpins many existing and emerging technologies, from lubrication to the strength and fragility of bulk metallic glasses. An improved understanding of how macroscopic properties such as viscous flow, ductility and fracture emerge from the microscopic interactions between atoms and molecules will provide the enabling scientific knowledge f ....Soft modes in glasses: chemical control of relaxation and mechanical response. The unusual dynamical and mechanical properties of viscous liquids and glasses underpins many existing and emerging technologies, from lubrication to the strength and fragility of bulk metallic glasses. An improved understanding of how macroscopic properties such as viscous flow, ductility and fracture emerge from the microscopic interactions between atoms and molecules will provide the enabling scientific knowledge for exploiting the properties of such materials on the nanoscale. National expertise in this area will help establish and strengthen international collaboration with leading research institutes in the field.Read moreRead less