Interacting with visualisations of extremely large graph structures on large displays. The latest technological progressions have delivered very large data sets that can be modelled as graphs or networks. Examples include: social networks, biological data, and software structures. This project will develop techniques to allow users to visualise the graphs in the entirety and directly interact with data.
Information Seeking & Research Adoption: Assessing Communication Strategies. This project aims to determine the best ways to communicate wine research and to design tools to support research adoption. Adoption of research relies on effective use of information and technology by employees. Research into employees’ information practices in the workplace has been conducted in health care, education and other areas; however, the wine industry’s use of information and technology for adoption is unexp ....Information Seeking & Research Adoption: Assessing Communication Strategies. This project aims to determine the best ways to communicate wine research and to design tools to support research adoption. Adoption of research relies on effective use of information and technology by employees. Research into employees’ information practices in the workplace has been conducted in health care, education and other areas; however, the wine industry’s use of information and technology for adoption is unexplored. The project plans to assess the strategies used to share research with winemakers and grape growers (e.g. seminars, websites, social media), from information behaviour or web useability perspectives, to ensure industry needs are met appropriately. This research aims to have a direct and immediate impact on the wine industry. In addition to the immediate impact of new research innovations that will be implemented by our partner wine companies, the project will also change industry-wide approaches to extension. The partner organisations use extension strategies to showcase new innovations and our research will assess these organisations’ current practices, providing evidence to shape the design of future activities in Australia.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
ARC Research Network in Spatially Integrated Social Science. The ARC Research Network in Spatially Integrated Social Science (SISS) builds Australia's capacity and capability for innovative, collaborative, cross-disciplinary effort to investigate the impacts of change on the behaviour and well-being of people and the fortunes of places. SISS theories and research tools permit the integration of diverse and complex databases, the generation of new synthetic datasets, the incorporation of spatial ....ARC Research Network in Spatially Integrated Social Science. The ARC Research Network in Spatially Integrated Social Science (SISS) builds Australia's capacity and capability for innovative, collaborative, cross-disciplinary effort to investigate the impacts of change on the behaviour and well-being of people and the fortunes of places. SISS theories and research tools permit the integration of diverse and complex databases, the generation of new synthetic datasets, the incorporation of spatial concepts into statistical analysis and modelling, powerful visualisation of information, and the building spatial decision support systems, to provide an improved evidence base and better informed decision-making to address the significant challenges facing Australia's people and its places.Read moreRead less
Work, care, retirement and health: ageing agendas. This project will undertake a gendered analysis of how Australians can retire well, taking account of their key resources (such as work, superannuation, the aged pension, and other assets) and key demands (such as to work longer and to care for others in the context of an ageing population and a more feminised workforce).
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100056
Funder
Australian Research Council
Funding Amount
$190,000.00
Summary
An Australian Housing Condition Data Infrastructure. An Australian housing condition data infrastructure:
This project aims to develop, collect, and make available an Australian housing conditions data infrastructure. We don't know enough about the condition of Australia’s housing. In the nearly two decades since the last Australian Housing Survey, there have been significant changes in the housing system, and there researchers and policy makers are calling for a systematic, reliable and nation ....An Australian Housing Condition Data Infrastructure. An Australian housing condition data infrastructure:
This project aims to develop, collect, and make available an Australian housing conditions data infrastructure. We don't know enough about the condition of Australia’s housing. In the nearly two decades since the last Australian Housing Survey, there have been significant changes in the housing system, and there researchers and policy makers are calling for a systematic, reliable and nationally representative dataset of housing conditions. The infrastructure would provide Australia's a foundation for evidence-informed research on Australia's housing conditions. The data infrastructure would provide tools, data and protocols for Australian researchers and policy makers, and would be an accessible resource that can be built upon, adapted and applied to population groups and locations of interest.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775716
Funder
Australian Research Council
Funding Amount
$150,000.00
Summary
Infrastructure for a Spatially Integrated Social Science e-Research Facility. The requested facility with its Nationally Distributed Socio-Spatial Data System and On-Line Analysis, Modeling and Visualisation Research Facility will enhance Australia's national research capacity for secondary data analysis and modeling of socio-spatial information with visualisation, substantially reducing the cost of innovative research conducted at various levels of spatial scale to investigate both local and na ....Infrastructure for a Spatially Integrated Social Science e-Research Facility. The requested facility with its Nationally Distributed Socio-Spatial Data System and On-Line Analysis, Modeling and Visualisation Research Facility will enhance Australia's national research capacity for secondary data analysis and modeling of socio-spatial information with visualisation, substantially reducing the cost of innovative research conducted at various levels of spatial scale to investigate both local and nationally significant demographic, social, economic and behavioural issues. It will deliver national/community benefits through enabling hundreds of researchers and graduate students across the university system to investigate demographic, economic and social issues at various levels of spatial scale.Read moreRead less
Complex nano-systems for highly selective imaging and targeting of cells. The aim of the project is to design multi-functional nanoparticles that can be tracked by multiple bio-imaging techniques, such as magnetic resonance imaging (MRI) and positron emission tomography imaging. The nanoparticles are designed to be targetable to specific cell populations and capable of delivering drugs. The project plans to concentrate the MRI-active gadolinium into nanoparticles to generate enhanced images, and ....Complex nano-systems for highly selective imaging and targeting of cells. The aim of the project is to design multi-functional nanoparticles that can be tracked by multiple bio-imaging techniques, such as magnetic resonance imaging (MRI) and positron emission tomography imaging. The nanoparticles are designed to be targetable to specific cell populations and capable of delivering drugs. The project plans to concentrate the MRI-active gadolinium into nanoparticles to generate enhanced images, and to combine this with other imaging modalities to facilitate tracking and sensitivity. Expected outcomes would enable a new approach to extremely accurate and sensitive imaging of tumours to enable the imaging of much smaller tumours than currently possible. This would allow early therapeutic intervention. The nanoparticles are also designed to deliver a therapeutic payload to specific locations, avoiding systemic delivery of toxic anticancer drugs.Read moreRead less
Construction of near optimal oscillatory regimes in singularly perturbed control systems via solutions of Hamilton-Jacobi-Bellman inequalities. Problems of optimal control of systems evolving in multiple time scales arise in a great variety of applications (from diet to environmental modelling). This project addresses the challenge of analytically and numerically constructing rapidly oscillating controls that would 'near optimally coordinate' the slow and fast dynamics.