Understanding And Overcoming Cardiovascular And Diabetes Inequalities In Indigenous Australians
Funder
National Health and Medical Research Council
Funding Amount
$707,370.00
Summary
Aboriginal and Torres Strait Islanders experience the highest rates of heart disease and diabetes of all Australians. The reasons for this large disparity is not yet fully understood. I propose to investigate the patterns, causes, complications and links between heart disease and diabetes in Indigenous populations to identify better ways of managing and preventing chronic disease in high risk communities.
Using Health Outcome Data From Pooled Longitudinal Studies Of Ageing To Develop Statistical And Microsimulation Models T
Funder
National Health and Medical Research Council
Funding Amount
$2,162,630.00
Summary
This project draws together data from nine Australian Longitudinal Studies of Ageing (LSAs), including 53484 participants, that will be used to identify factors capable of preventing disease, reducing ill-health, and promoting engaged and successful ageing for Australians. The focus is upon conditions that significantly contribute to the burden of disease including cognitive decline and dementia, sensory impairment, impairment in mobility and common mental disorders such as depression. Although ....This project draws together data from nine Australian Longitudinal Studies of Ageing (LSAs), including 53484 participants, that will be used to identify factors capable of preventing disease, reducing ill-health, and promoting engaged and successful ageing for Australians. The focus is upon conditions that significantly contribute to the burden of disease including cognitive decline and dementia, sensory impairment, impairment in mobility and common mental disorders such as depression. Although individual studies contain rich data on particular topics, there is only a small number of individuals in each study with specific medical conditions, or combinations of different conditions, especially at the older ages. Pooling data from nine studies will overcome this problem. This innovative and interdisciplinary study also involves development of the first Australian dynamic micro-simulation model of the health and social outcomes of the baby boomer and older cohorts. The simulation will allow for evaluation of the impact of modifying risk factors, and costs associated with different trajectories of health and ageing. Our program takes an interdisciplinary life course approach, incorporating interdependencies among demographic, behavioural, social, economic and health factors. Our multidisciplinary team and collaborative pooling of existing studies adds value and builds upon experience, as recommended in the Prime Minister's Science, Engineering and Innovation Council 2003 report. The outcomes will direct health and social policy to promote health behaviour, and social and medical interventions to compress morbidity and optimize healthy ageing in Australian society over the next 40 years.Read moreRead less
Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XM ....Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XML profiles for the different data sets and business processes, novel techniques for conjoint mining of structured and semi-structured data, and adaptive business intelligence techniques. The results will be validated using large real-world data sets provided by the partner organisation.Read moreRead less
Context-aware mobile decision support systems for medical emergency management in mass gatherings. This project contributes to gaining a clearer understanding of the nature and requirements of medical emergency during mass gathering events. We will build and test a mobile real time decision support tool for improving efficiency of medical decisions to strengthen Australia's ability to manage potential health- related hazards. This project addresses research priorities of promoting and maintainin ....Context-aware mobile decision support systems for medical emergency management in mass gatherings. This project contributes to gaining a clearer understanding of the nature and requirements of medical emergency during mass gathering events. We will build and test a mobile real time decision support tool for improving efficiency of medical decisions to strengthen Australia's ability to manage potential health- related hazards. This project addresses research priorities of promoting and maintaining good health. It capitalizes on smart information use and will be of great benefit to mass gatherings emergency management. This project will also train highly qualified IT specialists critical to Australia's scientific and industrial development, thus increasing our competitiveness in information technology R&D. Read moreRead less
Integrated Intelligent Decision Support for Field Design and Management of Census Operations in Australia. This project contributes to a more reliable and accurate measurement of the number and key characteristics of Australian people by supporting a more efficient and effective field design and management of the Census operations. As the Census provides a snapshot of Australia and is crucial to communities, private institutions and all levels of government in the planning of services and facili ....Integrated Intelligent Decision Support for Field Design and Management of Census Operations in Australia. This project contributes to a more reliable and accurate measurement of the number and key characteristics of Australian people by supporting a more efficient and effective field design and management of the Census operations. As the Census provides a snapshot of Australia and is crucial to communities, private institutions and all levels of government in the planning of services and facilities, this project not only addresses the research priority of smart information use, but also contributes to strengthening Australia's social and economic fabric. This project will also train highly qualified IT specialists critical to Australia's scientific and industrial development, thus increasing our competitiveness in information technology R&D.Read moreRead less
ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
Next generation Customer Relationship Management (CRM) framework through intelligence and relationships from multiple information sources. In the current competitive times, organisations need to improve their service delivery and customer care processes and provide customised service to customers. This project develops a Customer Relationship Management (CRM) framework that can extract intelligence and relationships from multiple data sources to improve customer management and satisfaction in pu ....Next generation Customer Relationship Management (CRM) framework through intelligence and relationships from multiple information sources. In the current competitive times, organisations need to improve their service delivery and customer care processes and provide customised service to customers. This project develops a Customer Relationship Management (CRM) framework that can extract intelligence and relationships from multiple data sources to improve customer management and satisfaction in public and private organisations.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
ARC Centre for Perceptive & Intelligent Machines in Complex Environments. The Centre for Perceptive and Intelligent Machines in Complex Environments will perform fundamental research into and construct reliable large-scale systems of networked sensors, computational intelligence, mobile robots, and knowledge sources to support a large variety of critical human tasks, including surveillance/ security (eg. borders/airports/homes), health care support (eg. smart houses/ health condition monitoring, ....ARC Centre for Perceptive & Intelligent Machines in Complex Environments. The Centre for Perceptive and Intelligent Machines in Complex Environments will perform fundamental research into and construct reliable large-scale systems of networked sensors, computational intelligence, mobile robots, and knowledge sources to support a large variety of critical human tasks, including surveillance/ security (eg. borders/airports/homes), health care support (eg. smart houses/ health condition monitoring, semi autonomous wheelchairs), and civil disaster support (eg. fighting bushfires, looking for people in rubble) always keeping people in the loop so that strong human/ machine cooperative ventures can achieve what neither human or machines could accomplish independently.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100431
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Optimising the use of geophysical data for modelling the Australian crust. This project aims to determine the optimal use of geophysical methods to model the Australian crust in four dimensions. These models provide an understanding of the tectonic history of a region and thus its mineral potential. Mineral resources are mostly being found undercover, requiring geophysical data to locate them. This project will combine recent developments in modelling geological uncertainty with data acquired fo ....Optimising the use of geophysical data for modelling the Australian crust. This project aims to determine the optimal use of geophysical methods to model the Australian crust in four dimensions. These models provide an understanding of the tectonic history of a region and thus its mineral potential. Mineral resources are mostly being found undercover, requiring geophysical data to locate them. This project will combine recent developments in modelling geological uncertainty with data acquired for locating zones of mineralisation. The outcomes will help guide Australian government policy to draw on publicly-available datasets that provide a basis for mineral exploration performed by companies, and supported by research institutions.Read moreRead less