Special Research Initiatives - Grant ID: SR0354729
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Smart Use of Information Technologies (SUITs). The SUITs network will develop critical mass in world-class, leading-edge research into the smart use of information and communication technology (ICT) through integration of research within the dispersed Australian ICT research community and through facilitating international linkages. The network will undertake research applicable in key sectors including the health, education, service, knowledge and media industries. The aim is to establish a h ....Smart Use of Information Technologies (SUITs). The SUITs network will develop critical mass in world-class, leading-edge research into the smart use of information and communication technology (ICT) through integration of research within the dispersed Australian ICT research community and through facilitating international linkages. The network will undertake research applicable in key sectors including the health, education, service, knowledge and media industries. The aim is to establish a higher order of coordination and collaboration in research into ICT applications.
The feasibility study proposed will engage key stakeholders, refine research goals and investigate linkage mechanisms to improve Australia's ICT research and its contribution to economic and social well-being.
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Competition and Collaboration in the Market for Digital Publishing. This is a pioneer, in-depth analysis of the shifting relationships and alliances between key stakeholders in digital publishing, in a context of complexity, rapid technological change and Australian involvement in high value electronic information service markets. Using a multi-staged approach, the project aims to identify the fundamental requirements and expectations of key stakeholders in digital publishing. The outcomes will ....Competition and Collaboration in the Market for Digital Publishing. This is a pioneer, in-depth analysis of the shifting relationships and alliances between key stakeholders in digital publishing, in a context of complexity, rapid technological change and Australian involvement in high value electronic information service markets. Using a multi-staged approach, the project aims to identify the fundamental requirements and expectations of key stakeholders in digital publishing. The outcomes will include an ecological analysis of the digital publishing space and a redefinition of value propositions and business models with practical significance for Australia's participation in the information economy in general, and for the development of the digital publishing industry in particular. 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
Modelling the adoption and use of virtual services technologies for rural and regional healthcare: Economic and quality of care perspectives. Rural and regional Australians account for more than a third of the population. Compared with their urban counterparts, they face higher mortality rates and experience higher hospitalisation rates. They face significant challenges in accessing healthcare services and expertise. This research will provide guidelines on the effective and efficient use of ....Modelling the adoption and use of virtual services technologies for rural and regional healthcare: Economic and quality of care perspectives. Rural and regional Australians account for more than a third of the population. Compared with their urban counterparts, they face higher mortality rates and experience higher hospitalisation rates. They face significant challenges in accessing healthcare services and expertise. This research will provide guidelines on the effective and efficient use of virtual services technologies to provide more equitable access to healthcare for rural and regional Australians. This will enable healthcare providers and government agencies to select and deliver appropriate technology solutions yielding improved quality of care at a reduced cost. Access delays will be reduced through localised healthcare delivery.Read moreRead less
Assessing Organisational IT Infrastructure Capacity for Knowledge Strategy Support. Many organisations view knowledge as an important strategic asset. Often, organisations' historic investments in IT infrastructure predate their current knowledge strategy. Such situations raise challenges since past conceptions of IT infrastructure may only loosely link to the organisation's present knowledge initiatives. The proposed project will develop a methodology to assess the capacity of an organisation' ....Assessing Organisational IT Infrastructure Capacity for Knowledge Strategy Support. Many organisations view knowledge as an important strategic asset. Often, organisations' historic investments in IT infrastructure predate their current knowledge strategy. Such situations raise challenges since past conceptions of IT infrastructure may only loosely link to the organisation's present knowledge initiatives. The proposed project will develop a methodology to assess the capacity of an organisation's IT infrastructure to support an intended knowledge strategy. Outcomes will include detailed frameworks for analysing an organisation's knowledge strategy emphasis and direction, and the strengths and weaknesses of its IT infrastructure to support the strategy. The methodology will be validated in three to six organisations.Read moreRead less
Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this projec ....Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this project will be suitable for more than medical surveillance data; it will also improve the processing of other kinds of massive stream data (for example data from remote sensors, communication networks and other dynamic environments). The project involves a scientifically rich collaboration that will enhance the skills of PhD students and staff and drive the field forward.Read moreRead less
Securing Knowledge Processes in Organisations. This project will develop a methodology for identifying and comparing security risks associated with knowledge-intensive processes in organizations. The project addresses a significant area that has historically fallen between two research domains: organisational knowledge processes and systems, and critical information infrastructure protection. The project will establish a unified framework to balance the sharing and protection of information and ....Securing Knowledge Processes in Organisations. This project will develop a methodology for identifying and comparing security risks associated with knowledge-intensive processes in organizations. The project addresses a significant area that has historically fallen between two research domains: organisational knowledge processes and systems, and critical information infrastructure protection. The project will establish a unified framework to balance the sharing and protection of information and organizational knowledge. Outcomes include a framework for modelling knowledge-intensive processes to assess their security vulnerability, an associated methodology of creating security risk profiles of knowledge intensive processes and the validation of the methodology in 3 to 6 organizations.Read moreRead less
Efficient spatial data management for enabling true ride-sharing. This data management project aims to examine ride-sharing as a model of a complex decision system that can be optimised to deliver better outcomes. Popular ride-sharing apps have quickly evolved into ride-sourcing services that are comparable to calling a taxi on a mobile phone. Such arrangements miss many of the key benefits of true ride-sharing for the society. The project will model incentives by helping people agree on points ....Efficient spatial data management for enabling true ride-sharing. This data management project aims to examine ride-sharing as a model of a complex decision system that can be optimised to deliver better outcomes. Popular ride-sharing apps have quickly evolved into ride-sourcing services that are comparable to calling a taxi on a mobile phone. Such arrangements miss many of the key benefits of true ride-sharing for the society. The project will model incentives by helping people agree on points of interest rather than directly seeking trips from others to set destinations. It also aims to introduce privacy-aware dynamic matching of sharers, and expand to transportation at large, to generate new shared transportation services. The expected outcome of this project is to elevate today's taxi-like ride-sharing services to true ride-sharing arrangements. This is expected to provide benefits such as reduced traffic and emissions, as well as addressing parking issues and other traffic problems.Read moreRead less
Next generation data mining techniques for analysing large evolving networks. In order to understand complex systems such as the Internet or gene interactions, we need to analyse how the networks in these systems function and evolve. This project will provide new methods for extracting knowledge from large network databases so that scientists can learn about the operation of these complex systems.
Multi source inference from heterogeneous dynamic networks. Sophisticated big data applications in engineering, the social sciences and biology are now generating flows of data across multiple sources possessing a variety of structures. An emerging challenge is how to develop data mining methods that can cope with this complexity and diversity to make inferences and provide practical insights. This project will develop methods in tensor data mining that provide a new foundation for extracting us ....Multi source inference from heterogeneous dynamic networks. Sophisticated big data applications in engineering, the social sciences and biology are now generating flows of data across multiple sources possessing a variety of structures. An emerging challenge is how to develop data mining methods that can cope with this complexity and diversity to make inferences and provide practical insights. This project will develop methods in tensor data mining that provide a new foundation for extracting useful knowledge from multi source heterogeneous data sets. This will help accelerate discoveries in the next generation of data driven science.Read moreRead less