Discovery Early Career Researcher Award - Grant ID: DE170100572
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Collaborative information seeking and its application in tourism. The project aims to better understand group behaviour of information seeking. Collaboration is an essential aspect of modern life; collaborative work, including tourism, encompasses obtaining and using information. However, most information behaviour models focus on the individual seeker of information, rather than on improving collaboration and team performance. The project builds models and develops guidelines for understanding ....Collaborative information seeking and its application in tourism. The project aims to better understand group behaviour of information seeking. Collaboration is an essential aspect of modern life; collaborative work, including tourism, encompasses obtaining and using information. However, most information behaviour models focus on the individual seeker of information, rather than on improving collaboration and team performance. The project builds models and develops guidelines for understanding and supporting collaborative information seeking behaviour in the context of tourism. Making it easier for tourists to find information is expected to benefit the Australian tourism industry.Read moreRead less
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.
Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical ....Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical tools for immersive data analytics. This will provide significant benefits, such as allowing those across government and industry to make more informed decisions from data.Read moreRead less
The Central Australian Heart Protection Study: A Randomised Trial Of Nurse-Led, Family Based Secondary Prevention Of Acute Coronary Syndromes
Funder
National Health and Medical Research Council
Funding Amount
$1,923,630.00
Summary
Despite the high burden of cardiovascular diseases among Indigenous Australians, few intervention trials have sought to evaluate novel approaches to reducing differential outcomes in this vulnerable group. The Central Australian Heart Protection Study seeks to test the effectiveness of a nurse-led, family based education and assessment program in reducing the incidence of poor outcomes in indigenous and non-indigenous patient’s following an Acute Coronary Syndrome (ACS).
Learning to Reason in Reinforcement Learning. Deep Reinforcement Learning (RL) uses deep neural networks to represent and learn optimal decision-making policies for intelligent agents in complex environments. However, most RL approaches require millions of episodes to converge to good policies, making it difficult for RL to be applied in real-world scenarios taking significant resources. This project aims to equip RL with capabilities such as counterfactual reasoning and outcome anticipation to ....Learning to Reason in Reinforcement Learning. Deep Reinforcement Learning (RL) uses deep neural networks to represent and learn optimal decision-making policies for intelligent agents in complex environments. However, most RL approaches require millions of episodes to converge to good policies, making it difficult for RL to be applied in real-world scenarios taking significant resources. This project aims to equip RL with capabilities such as counterfactual reasoning and outcome anticipation to significantly reduce the number of interactions required, improve generalisation, and provide the agent with the capability to consider the cause-effects. These improvements would narrow the gap between AI and human capabilities and broaden the adoption of RL in real-world applications.Read moreRead less
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
Airborne spatial tracking to save endangered species. Airborne spatial tracking to save endangered species. This project aims to develop an automated and distributed spatial tracking approach using low cost Unmanned Aerial Vehicles (UAVs) to locate and study endangered wildlife. Understanding animal behaviour and habits with granular spatial data is essential to develop effective monitoring and conservation strategies. Spatial tracking of radio collared wildlife using radio telemetry is a critic ....Airborne spatial tracking to save endangered species. Airborne spatial tracking to save endangered species. This project aims to develop an automated and distributed spatial tracking approach using low cost Unmanned Aerial Vehicles (UAVs) to locate and study endangered wildlife. Understanding animal behaviour and habits with granular spatial data is essential to develop effective monitoring and conservation strategies. Spatial tracking of radio collared wildlife using radio telemetry is a critical but costly tool for acquiring this data. This project anticipates that airborne spatial tracking using intelligent spatial tracking algorithms on board low cost UAV teams will allow more precise understanding of wildlife for evidence-based conservation and management in a changing global climate.Read moreRead less
Remote presence for guidance on physical tasks. This project aims to transform remote collaboration on physical tasks. Current systems for remote collaboration on physical tasks are not as effective as working face-to-face. This could be overcome by sharing non-verbal cues, designing systems to account for cultural issues, and using a new model of communication. This project will develop theories and interaction methods for remote guidance based on natural non-verbal communication cues and cultu ....Remote presence for guidance on physical tasks. This project aims to transform remote collaboration on physical tasks. Current systems for remote collaboration on physical tasks are not as effective as working face-to-face. This could be overcome by sharing non-verbal cues, designing systems to account for cultural issues, and using a new model of communication. This project will develop theories and interaction methods for remote guidance based on natural non-verbal communication cues and cultural issues. This project is expected to benefit industries with widely distributed multi-cultural workforces such as mining, defence and medicine.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