Generalised quantum models of complexity with application to cognitive systems. Non-separable systems surround us. Our transportation, taxation, schooling, environmental and social policies are all interrelated, and it is increasingly recognised that we cannot consider them in isolation. Such systems are generally deemed complex, and it is often impossible to separate them from one another. Despite this, many of our most advanced modelling techniques are grounded in principles of separability a ....Generalised quantum models of complexity with application to cognitive systems. Non-separable systems surround us. Our transportation, taxation, schooling, environmental and social policies are all interrelated, and it is increasingly recognised that we cannot consider them in isolation. Such systems are generally deemed complex, and it is often impossible to separate them from one another. Despite this, many of our most advanced modelling techniques are grounded in principles of separability and non-contextuality. This project will develop a new set of models of non-separable systems and complexity that will in turn lead to new frontier technologies and theories.Read moreRead less
Personalised Online Learning Analytics by Exploring Multilayer Graph Data . Learning analytics is becoming a significant factor in reducing the drop-out rate of students in online learning. The aim of this project is to develop a reliable, robust, real-time analysis system that automatically reveals multilayered relationships, evaluates students' learning performance, and generates a personal study plan through discovery. This project includes the design of novel algorithms for multilayer graph ....Personalised Online Learning Analytics by Exploring Multilayer Graph Data . Learning analytics is becoming a significant factor in reducing the drop-out rate of students in online learning. The aim of this project is to develop a reliable, robust, real-time analysis system that automatically reveals multilayered relationships, evaluates students' learning performance, and generates a personal study plan through discovery. This project includes the design of novel algorithms for multilayer graph processing, pattern recognition in learning activities, learning performance assessment, and personalised study plan recommendations. The success of this project will significantly enhance the success of online education both in Australia and worldwide and; hence, will save time, money and resources for end users.Read moreRead less
Aboriginal remote narrowcast TV and the audio-visual archive. This project aims to investigate the world’s best practices in community narrowcast digital TV and contemporary methods for the long-term storage of both digital and analogue audio-visual cultural materials. This will assist in the long-term preservation of Indigenous languages and culture and will investigate whether health promotion and other messages in Aboriginal languages community impacts on community well-being.
The unwired horizon: clouded and mobile delivery platforms for early collections of Yolngu cultural heritage in Arnhem Land, Australia. Led by the Yolngu Elder and researcher Joseph Gumbula, this project will develop a clouded database engine and networked applications for streaming digitised heritage resources in ways appropriate for Indigenous peoples, particularly those in remote communities. Trial content will be selected from records of Gumbula's own heritage dating from 1924.
Development of computer-based decision support tools using population pharmacokinetic/pharmacodynamic models. Diabetes is an epidemic that presents an enormous burden to health systems of both developed and developing nations. Australia spends an estimated $35 billion on the condition annually, with costs set to rise with increasing diagnosis rates. Additionally, the burden of diabetes is more prominent in indigenous Australians. We intend to improve management of this disease in non-indigenous ....Development of computer-based decision support tools using population pharmacokinetic/pharmacodynamic models. Diabetes is an epidemic that presents an enormous burden to health systems of both developed and developing nations. Australia spends an estimated $35 billion on the condition annually, with costs set to rise with increasing diagnosis rates. Additionally, the burden of diabetes is more prominent in indigenous Australians. We intend to improve management of this disease in non-indigenous and indigenous Australians by development of a user-friendly computer-based decision support tool for doctors. Once established, this tool will have applications in other fields of health care where support is needed to make informed dosing decisions for critical medications and have the potential to reduce financial and social impacts of chronic disease.Read moreRead less
Making eMaking Accessible for People with Intellectual Disabilities. This interdisciplinary research will create an evidence based eMaking program that empowers people with Intellectual Disabilities. eMaking benefits include collaborative problem solving and employment pathways; however, people with disabilities are often excluded. Through a unique, inclusive, outreach van, strategies to build accessible eMaking will be generated. Project outcomes include replicable, scalable eMaking activities ....Making eMaking Accessible for People with Intellectual Disabilities. This interdisciplinary research will create an evidence based eMaking program that empowers people with Intellectual Disabilities. eMaking benefits include collaborative problem solving and employment pathways; however, people with disabilities are often excluded. Through a unique, inclusive, outreach van, strategies to build accessible eMaking will be generated. Project outcomes include replicable, scalable eMaking activities and toolkits to facilitate Science, Technology, Engineering and Mathematics for all. Project benefits include opportunities for people with Intellectual Disability to participate in meaningful recreational or work-focused eMaking, and changing community attitudes through shared eMaking participation.Read moreRead less
Growing Sustainable Regions: Developing a Rural Statistical Sustainability Framework. Given the challenges facing rural and regional Australia, it is essential that communities and decision-makers have the information and resources to make informed and sustainable decisions. While there is a plethora of data that can provide this evidence-base, it is often complex, disorganised and inaccessible to those who need it. Hence, to facilitate smart information use, this research develops and implement ....Growing Sustainable Regions: Developing a Rural Statistical Sustainability Framework. Given the challenges facing rural and regional Australia, it is essential that communities and decision-makers have the information and resources to make informed and sustainable decisions. While there is a plethora of data that can provide this evidence-base, it is often complex, disorganised and inaccessible to those who need it. Hence, to facilitate smart information use, this research develops and implements a Rural Statistical Sustainability Framework and decision support modelling tool that integrates environmental, economic and social data into a single user-friendly source. This will provide a platform for evidence-based decision-making that will lead to a sustainable future for rural and regional Australia.Read moreRead less
Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended ....Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended outcomes will be an innovative incident analysis and management framework synergising traffic data analytics and traffic simulation modelling as well as its key enabling techniques and prototype systems. This will significantly help mitigate incident impacts on daily commuters.Read moreRead less
Enhancing and supporting deliberations within multidisciplinary decision teams. A group’s knowledge and reasoning processes are rarely conducted or recorded systematically; a problem particularly pressing for medical decisions made by multidisciplinary teams. This project will perform the first integration of knowledge management principles with group reasoning process models to create an online environment for enhancing the quality of group decisions and their documentation. The online environm ....Enhancing and supporting deliberations within multidisciplinary decision teams. A group’s knowledge and reasoning processes are rarely conducted or recorded systematically; a problem particularly pressing for medical decisions made by multidisciplinary teams. This project will perform the first integration of knowledge management principles with group reasoning process models to create an online environment for enhancing the quality of group decisions and their documentation. The online environment will help medical teams use documented and non-documented knowledge when more than one medical condition is present and no formal guidelines are applicable. The project advances theories of knowledge in groups and is extendable to any deliberations on complex problems.Read moreRead less
Cognitive Features of Decision Support System Interfaces. The complex and time-constrained nature of the contemporary workplace is such that there is an increasing dependence on technology to assist operators in formulating accurate and timely decisions. This project is designed to ensure that the process through which this information is presented to operators is as efficient and effective as possible under the circumstances. Using an innovative approach to the development of such decision supp ....Cognitive Features of Decision Support System Interfaces. The complex and time-constrained nature of the contemporary workplace is such that there is an increasing dependence on technology to assist operators in formulating accurate and timely decisions. This project is designed to ensure that the process through which this information is presented to operators is as efficient and effective as possible under the circumstances. Using an innovative approach to the development of such decision support systems, the outcomes of this project will direct the development of this type of technology in the future and, ultimately, lead to more effective and more efficient decision-making under uncertainty.Read moreRead less