Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100081
Funder
Australian Research Council
Funding Amount
$220,000.00
Summary
DomeLab: an ultra-high resolution experimental fulldome. DomeLab - an ultra-high resolution experimental fulldome: This project will establish the first ultra-high resolution (4000 x 4000 pixels) experimental fulldome in Australia (DomeLab). This fulldome facility will provide a powerful immersive dome-based video projection environment. Partners will work collaboratively across three themes: interactive media, future museology and experimental humanities. Through the national research services ....DomeLab: an ultra-high resolution experimental fulldome. DomeLab - an ultra-high resolution experimental fulldome: This project will establish the first ultra-high resolution (4000 x 4000 pixels) experimental fulldome in Australia (DomeLab). This fulldome facility will provide a powerful immersive dome-based video projection environment. Partners will work collaboratively across three themes: interactive media, future museology and experimental humanities. Through the national research services AARNet and Intersect's research data storage infrastructure, DomeLab will extend pioneering research in aesthetic frameworks and frontier technologies to benefit artistic, cultural, museological and humanities researchers. DomeLab is designed as a touring system and will be installed throughout the country at leading institutions. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100120
Funder
Australian Research Council
Funding Amount
$190,000.00
Summary
Design & Art Australia Online Research Tool: enabling next generation e-Research in Australia's visual and design cultures. Design and art Australia online research tool: enabling next generation e-Research in Australia's visual and design cultures: This project builds on the recent and highly successful transformation of Design and Art Australia Online (DAAO). As DAAO increases its information base through its automated harvest facilities (LIEF2012) and draws more active engagement from researc ....Design & Art Australia Online Research Tool: enabling next generation e-Research in Australia's visual and design cultures. Design and art Australia online research tool: enabling next generation e-Research in Australia's visual and design cultures: This project builds on the recent and highly successful transformation of Design and Art Australia Online (DAAO). As DAAO increases its information base through its automated harvest facilities (LIEF2012) and draws more active engagement from researchers, new demands are being placed on the facility. Modifications are required to enhance the capabilities of researchers to expand the scope of research facilities offered. This project will refine schema and mappings of events and works to better match researcher queries and enabling data repurposing for visualisation; automate linking facility between established entity links; and develop researcher collaboration functionalities.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100056
Funder
Australian Research Council
Funding Amount
$240,000.00
Summary
Design and Art Australia Online: Sustainable data sharing for Australian researchers and collections. This project will produce a comprehensive and authorative research facility of national and international signi?cance. The enhanced Design and Art Australia Online facility will provide crucial information pertaining to Australia’s art and design heritage that will be open for researchers of all levels, from school students through to higher-education researchers.
Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar ....Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.Read moreRead less
Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encodi ....Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encoding and retrieval processes, the model can assess how changes in different sources of interference modulate performance through the trajectory of early development. Hierarchical Bayesian estimation aims to enable a simultaneous account of multiple tasks and support future deployment in applied contexts.Read moreRead less
An empirically-derived conceptual framework for designing usable and useful wireless mobile applications. The technological challenges posed by mobile computing devices have taken priority over the issues of appropriate use and usability that will ultimately determine their success in real work environments.
This project investigates these issues, particularly the role played by the context of use in the usability and usefulness of mobile applications.
The project's aims will be realised ....An empirically-derived conceptual framework for designing usable and useful wireless mobile applications. The technological challenges posed by mobile computing devices have taken priority over the issues of appropriate use and usability that will ultimately determine their success in real work environments.
This project investigates these issues, particularly the role played by the context of use in the usability and usefulness of mobile applications.
The project's aims will be realised through ethnographic studies of mobile work practice, representative use scenarios and the development of an empirically grounded conceptual framework that can guide the design of usable mobile applications.
The results will increase the successful utilisation of mobile technology by Australian industries.
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ARC Molecular and Materials Structure Research Network. The Network will build powerful e-Science resources for the structural sciences. Collaborative remote access will be developed for sophisticated instrumentation, including instruments planned for the Replacement Research Reactor and Australian Synchrotron. A structure database service with cross disciplinary content and versatile visualisation and analysis capabilities will further exemplify smart information use. The internet services will ....ARC Molecular and Materials Structure Research Network. The Network will build powerful e-Science resources for the structural sciences. Collaborative remote access will be developed for sophisticated instrumentation, including instruments planned for the Replacement Research Reactor and Australian Synchrotron. A structure database service with cross disciplinary content and versatile visualisation and analysis capabilities will further exemplify smart information use. The internet services will ultimately harness the Grid, enabling linkage into other national and international Grid systems. Encompassing physics, computer science, applied mathematics, chemistry and biochemistry, and catalysing interaction across these disciplines, the MMSN will impact all five National Research Priority 3 goals.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH120100021
Funder
Australian Research Council
Funding Amount
$2,500,000.00
Summary
Pathways to market: transforming food industry futures through improved sensing, provenance and choice. Pathways to market: transforming food industry futures through improved sensing, provenance and choice. This Research Hub aims to transform the Australian food industry by demonstrating how new knowledge on food production and consumption generated through novel sensing technologies and advanced modelling techniques can be implemented in smart applications to power competitiveness, sustainabil ....Pathways to market: transforming food industry futures through improved sensing, provenance and choice. Pathways to market: transforming food industry futures through improved sensing, provenance and choice. This Research Hub aims to transform the Australian food industry by demonstrating how new knowledge on food production and consumption generated through novel sensing technologies and advanced modelling techniques can be implemented in smart applications to power competitiveness, sustainability and innovation in food value chains.Read moreRead less
Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time ....Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time, and confidence, suitable for application to computerized testing scenarios. The models and testing methods validated in the laboratory will be refined for application in eyewitness memory settings, facilitating better evaluation of identification evidence, and potentially reducing wrongful convictions.Read moreRead less
Choice models for learning and memory. Life is filled with familiar choices that often require quick decisions about objects in the environment and the contents of memory. This project examines how we learn to make rapid and accurate choices and how we quickly asses the level of confidence we have in recognition decisions based on our memories.