Fast approximate inference methods: new algorithms, applications and theory. This project aims to develop new algorithms and theory for fast approximate inference and lay down infrastructure to aid future extensions. Fast approximate inference methods are a principled and extensible means of fitting large and complex statistical models to big data sets. They come into their own in applications where speed is paramount and traditional approaches are not feasible. The project aims to lead to prac ....Fast approximate inference methods: new algorithms, applications and theory. This project aims to develop new algorithms and theory for fast approximate inference and lay down infrastructure to aid future extensions. Fast approximate inference methods are a principled and extensible means of fitting large and complex statistical models to big data sets. They come into their own in applications where speed is paramount and traditional approaches are not feasible. The project aims to lead to practical outcomes from better business decision-making for insurance data warehouses, to improved medical imaging technology.Read moreRead less
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
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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High Predictive Performance Models via Semi-Parametric Survival Regression. This project will develop novel statistical models for high prediction performance. When applied to help doctor to treat patients, these models allow the users to include gene or other biomarkers for predicting effectiveness of a treatment. When applied to risk management in finance, these models are capable to include an organization's or individual's ongoing finance status to predict, for example, the probability of or ....High Predictive Performance Models via Semi-Parametric Survival Regression. This project will develop novel statistical models for high prediction performance. When applied to help doctor to treat patients, these models allow the users to include gene or other biomarkers for predicting effectiveness of a treatment. When applied to risk management in finance, these models are capable to include an organization's or individual's ongoing finance status to predict, for example, the probability of or time to loan default. Innovative computational methods will be developed for fitting these models. Compared to traditional prediction method, this approach allows greater flexibility while being superior in terms of statistical accuracy and bias. Extensive analyses of healthcare data from diverse fields will be undertaken.Read moreRead less
Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty a ....Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty and test multiple geological scenarios. This enhanced capability is important for the future of Australia's subsurface management, including urban geology and our continuously growing sustainable resources industry.Read moreRead less
Criminal justice outcomes of injecting drug use and methamphetamine smoking. Injection drug use (IDU) and methamphetamine smoking are associated with the majority of illicit drug-related harms and associated costs in Australia. We will extend our studies of people who inject drugs and people who smoke methamphetamine through record linkage to social and criminal justice datasets. We will characterise the trajectories of participants through social services (e.g. public housing) and law enforceme ....Criminal justice outcomes of injecting drug use and methamphetamine smoking. Injection drug use (IDU) and methamphetamine smoking are associated with the majority of illicit drug-related harms and associated costs in Australia. We will extend our studies of people who inject drugs and people who smoke methamphetamine through record linkage to social and criminal justice datasets. We will characterise the trajectories of participants through social services (e.g. public housing) and law enforcement systems to provide a comprehensive account of social and criminal justice impacts of injection drug use and methamphetamine use in Australia for the first time. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100069
Funder
Australian Research Council
Funding Amount
$425,312.00
Summary
Integrating food and nutrition into fisheries and aquaculture management. The project aims to provide knowledge to improve food systems, in line with the UN Sustainable Development Goals, through fisheries and aquaculture. Food and health outcomes are not well-integrated into fisheries and aquaculture policy or management, despite global expectations that aquatic foods will help address current and anticipated food system challenges. Expected outcomes include new knowledge on implementing food- ....Integrating food and nutrition into fisheries and aquaculture management. The project aims to provide knowledge to improve food systems, in line with the UN Sustainable Development Goals, through fisheries and aquaculture. Food and health outcomes are not well-integrated into fisheries and aquaculture policy or management, despite global expectations that aquatic foods will help address current and anticipated food system challenges. Expected outcomes include new knowledge on implementing food- and nutrition-based management objectives in fisheries and aquaculture, and methods to measure benefits in different national contexts. Outcomes should increase capability to manage fisheries and aquaculture to improve human health through diets while achieving environmental, economic and other socially positive outcomes.Read moreRead less
Regulation of lung immune-epithelial networks sensing environmental change. This study aims to uncover how lung epithelial cells engage with immune cells and determine their cellular and molecular wiring to ensure homeostatic maintenance and essential repair processes of lung tissues. Maintenance of lung epithelial-immune networks is essential to maintain normal lung tissue structure and function, and to induce immune responses to protect against microbial challenges or inhaled potentially toxic ....Regulation of lung immune-epithelial networks sensing environmental change. This study aims to uncover how lung epithelial cells engage with immune cells and determine their cellular and molecular wiring to ensure homeostatic maintenance and essential repair processes of lung tissues. Maintenance of lung epithelial-immune networks is essential to maintain normal lung tissue structure and function, and to induce immune responses to protect against microbial challenges or inhaled potentially toxic substances. Understanding this molecular program of epithelial-immune cell-mediated sensing/repair will be essential to understand how tissue-repair processes can be driven in the lung, an organ critical for respiration and thus life.Read moreRead less
Online violent extremist audiences in Australia and the United Kingdom. This project aims to develop an understanding of the role and influence of the internet on violent extremism. It plans to use mixed methods to investigate the ways in which online messages are received and interpreted and the contexts within which this occurs. It plans to apply an innovative research framework using media theories and concepts to the study of online violent extremism. The project aims to contribute to the de ....Online violent extremist audiences in Australia and the United Kingdom. This project aims to develop an understanding of the role and influence of the internet on violent extremism. It plans to use mixed methods to investigate the ways in which online messages are received and interpreted and the contexts within which this occurs. It plans to apply an innovative research framework using media theories and concepts to the study of online violent extremism. The project aims to contribute to the development of measures to counter violent extremism by addressing assumptions about the relationship between online violent extremist content and violent extremist behaviour; and developing understanding of how violent extremist messaging is received and interpreted.Read moreRead less