Reliable and accurate statistical solutions for modern complex data. This project aims to develop novel methods for reliable and accurate statistical modelling with modern, complex correlated and error-prone data. The project expects to make significant strides towards future-proofing statistical data analysis, equipping practitioners with a suite of robust and computationally efficient methods which provide confidence in the stability and reproducibility of results obtained, while offering guar ....Reliable and accurate statistical solutions for modern complex data. This project aims to develop novel methods for reliable and accurate statistical modelling with modern, complex correlated and error-prone data. The project expects to make significant strides towards future-proofing statistical data analysis, equipping practitioners with a suite of robust and computationally efficient methods which provide confidence in the stability and reproducibility of results obtained, while offering guarantees on their transferability over a range of populations. This will provide important benefits as they are applied in predicting endangered marine species for fisheries conservation, and in enhancing our national understanding of the relationship between education achievement and financial success. Read moreRead less
Seasonal adjustment using disaggregated short time span data. Seasonally adjusted economic and social times series are vital information used by governments and businesses in decision making. This project will develop statistical methods to estimate and remove seasonal factors from economic and social time series using finely disaggregated data for a relatively small number of time periods. This will enable better and quicker estimation of seasonal factors when new series are introduced or there ....Seasonal adjustment using disaggregated short time span data. Seasonally adjusted economic and social times series are vital information used by governments and businesses in decision making. This project will develop statistical methods to estimate and remove seasonal factors from economic and social time series using finely disaggregated data for a relatively small number of time periods. This will enable better and quicker estimation of seasonal factors when new series are introduced or there a major changes to existing series, improving the analysis of such series and the decisions based on them.Read moreRead less
Prediction, inference and their application to modelling correlated data. This project aims to create new, improved methods for prediction and making inference about predictions for a variety of correlated data types through inventing sophisticated and novel resampling schemes such as the generalised fast bootstrap and repeated partial permutation. The research will impact on both the theory and practice of statistics and on substantive fields which use mixed or compositional models to analyse d ....Prediction, inference and their application to modelling correlated data. This project aims to create new, improved methods for prediction and making inference about predictions for a variety of correlated data types through inventing sophisticated and novel resampling schemes such as the generalised fast bootstrap and repeated partial permutation. The research will impact on both the theory and practice of statistics and on substantive fields which use mixed or compositional models to analyse dependent data. This will be a significant improvement in the assessment and stability of statistical models in areas such as social, ecological and geological sciences.Read moreRead less
Building models for complex data. The purpose of this project is to better understand the process of building statistical models and construct new methods for building models for particular kinds of complex data. The expected outcomes include a new way of thinking about model building and practical tools which together enable us to get more value out of analysing complex data.
Dimension reduction and model selection for statistically challenging data. This project aims to develop a deep theoretical understanding of the relationship between various dimension reduction and model selection methods used in statistical model building, and then use this understanding to develop new, improved methods of model building for statistically challenging data. The research will impact on both the theory and practice of statistics, and on substantive fields which collect and analyse ....Dimension reduction and model selection for statistically challenging data. This project aims to develop a deep theoretical understanding of the relationship between various dimension reduction and model selection methods used in statistical model building, and then use this understanding to develop new, improved methods of model building for statistically challenging data. The research will impact on both the theory and practice of statistics, and on substantive fields which collect and analyse these kinds of data. This will provide a significant improvement in the statistical model building in areas such as epidemiology, chemical and ecological sciences. The project is timely because of the increasing collection of large-dimensional, complex, correlated data sets in these and many other fields.Read moreRead less
ARC Research Network for Advanced Materials. Materials science/engineering is decidedly interdisciplinary, covering all science and impacting on all manufacturing industry. This network will promote interactions that do not usually occur between materials researchers and students across Australia and internationally from diverse disciplines. The scope is broadly based on advanced materials production, processing and properties but focused in four areas, involving: i) innovative structural/functi ....ARC Research Network for Advanced Materials. Materials science/engineering is decidedly interdisciplinary, covering all science and impacting on all manufacturing industry. This network will promote interactions that do not usually occur between materials researchers and students across Australia and internationally from diverse disciplines. The scope is broadly based on advanced materials production, processing and properties but focused in four areas, involving: i) innovative structural/functional materials, ii) high-tech IT/communications/sensing materials, iii) materials solutions for manufacturing, iv) materials for a sustainable Australia, and v) emerging materials technologies. Key programs will promote interdisciplinary workshops and early career researcher interactions.Read moreRead less
Special Research Initiatives - Grant ID: SR0354512
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
Network Asia: Maximizing Australia's National Capacity in Inter-Disciplinary Research on Asia. Australia has an international reputation for innovative and high impact research into the states, societies, and economies of Asia.
The Initiative will survey the volume, range, impact, and international status of Asian area research in Australia, identify themes with high potential for achieving significant outcomes through transnational research and research-training, and develop a strategy for m ....Network Asia: Maximizing Australia's National Capacity in Inter-Disciplinary Research on Asia. Australia has an international reputation for innovative and high impact research into the states, societies, and economies of Asia.
The Initiative will survey the volume, range, impact, and international status of Asian area research in Australia, identify themes with high potential for achieving significant outcomes through transnational research and research-training, and develop a strategy for maximizing national research capacity in targeted areas through a national inter-disciplinary network for Asia-area research - Network Asia.
Outcomes include a published report on the state of the field and a strategic plan for a viable and sustainable research network.
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Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the c ....Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the characteristics of the particles, their sources and spatial and temporal variation across different urban areas and time scales. Further, the impacts of changing fuels, vehicle technologies, and climate on future trends of the particles will be elucidated.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH210100025
Funder
Australian Research Council
Funding Amount
$4,379,165.00
Summary
ARC Research Hub for Advanced Manufacturing with 2D Materials (AM2D). Australia holds large resources of critical 2D minerals – key enablers of several existing and emerging technologies in Energy Storage, Purification and Printed Electronics. The AM2D hub aims to provide a sophisticated environment for researchers and an industrial translation platform for manufacturers; a hub where leading academics, bright students, and industry partners come together to learn, apply, collaborate, innovate, a ....ARC Research Hub for Advanced Manufacturing with 2D Materials (AM2D). Australia holds large resources of critical 2D minerals – key enablers of several existing and emerging technologies in Energy Storage, Purification and Printed Electronics. The AM2D hub aims to provide a sophisticated environment for researchers and an industrial translation platform for manufacturers; a hub where leading academics, bright students, and industry partners come together to learn, apply, collaborate, innovate, and deliver industry transformation in advanced manufacturing. Anticipated outcomes include the transformation of newly discovered materials into globally traded, high-value 2D products, enabling Australian industries to capture more wealth and jobs from this large and growing market.
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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100272
Funder
Australian Research Council
Funding Amount
$164,002.00
Summary
Bringing Australian free-access legislation to international best practice standards. Modern Australian law is very heavily based on legislation, and the amount and complexity of legislation increases every year, particularly delegated legislation. It is essential that legislation be interpreted and applied accurately and efficiently for Australia to have high quality legal research, for the operation of the rule of law, and for the effective operation of the legal system. This project will con ....Bringing Australian free-access legislation to international best practice standards. Modern Australian law is very heavily based on legislation, and the amount and complexity of legislation increases every year, particularly delegated legislation. It is essential that legislation be interpreted and applied accurately and efficiently for Australia to have high quality legal research, for the operation of the rule of law, and for the effective operation of the legal system. This project will contribute to all of these national benefits by providing free access for all Australian legal researchers and lawyers to a comprehensive national collection of legislation which meets international best practice standards, includes delegated legislation, and integrates all legislation-related materials.Read moreRead less