Knowledge Discovery in Discretionary Legal Domains. The development of legal decision support systems in discretionary domains will lead to: (1) Consistency; (2) Transparency; (3) Efficiency; and (4) Enhanced support for dispute resolution. The researchers on this project have been using the World Wide Web to disseminate legal knowledge.
With the collaboration of Victoria Legal Aid and JUSTSYS, we propose to use knowledge discovery from databases and argumentation techniques to model how discre ....Knowledge Discovery in Discretionary Legal Domains. The development of legal decision support systems in discretionary domains will lead to: (1) Consistency; (2) Transparency; (3) Efficiency; and (4) Enhanced support for dispute resolution. The researchers on this project have been using the World Wide Web to disseminate legal knowledge.
With the collaboration of Victoria Legal Aid and JUSTSYS, we propose to use knowledge discovery from databases and argumentation techniques to model how discretionary legal decision-makers operate. A significant application of the research will be the construction of a prototype for assisting criminal law defense lawyers to make arguments with regard to their client's sentences.Read moreRead less
A theory of communicative practices within financial internet discussion site communities. This project aims to use online financial investment communities to identify factors that drive communication and influence knowledge co-creation, examine how systematic variations in these factors influence investor decision making, and develop a mid-range theory for explaining and predicting the influence of online communication patterns on individual decisions and market outcomes. By developing and vali ....A theory of communicative practices within financial internet discussion site communities. This project aims to use online financial investment communities to identify factors that drive communication and influence knowledge co-creation, examine how systematic variations in these factors influence investor decision making, and develop a mid-range theory for explaining and predicting the influence of online communication patterns on individual decisions and market outcomes. By developing and validating a new mid-range theory, initially in the financial investment context, this project will provide significant benefits, such as help to secure Australia’s place in a changing world through improved information flow.Read moreRead less
Governance of information technology programmes: achieving accountability, control and success. This project aims to improve the effectiveness with which IT-enabled programmes are managed by public and private organisations. The theoretical knowledge and guides for good practice emerging from this study will contribute to increased success in managing and delivering complex and vital programmes across Australia.
Agent-based methods for communication system design in complex organisations. There is a direct opportunity to directly improve the efficiency, effectiveness, and safety of health work as a result of improved communication tools arising from this project. The current evidence that poor communication systems and practices significantly impair clinical work, and are related to avoidable clinical error and patient death, suggest compelling national benefits. Health represents 10% of GDP, and comm ....Agent-based methods for communication system design in complex organisations. There is a direct opportunity to directly improve the efficiency, effectiveness, and safety of health work as a result of improved communication tools arising from this project. The current evidence that poor communication systems and practices significantly impair clinical work, and are related to avoidable clinical error and patient death, suggest compelling national benefits. Health represents 10% of GDP, and communication technologies have yet to be significantly exploited here. There are substantial commercial opportunities nationally, for successful new communication services that service health care. Internationally the markets may be even larger, as healthcare is a larger proportion of GDP in nations such as the US. Read moreRead less
Next Generation Ubiquitous Service Spaces. The challenges facing the next generation ubiquitous service computing come from scale and variability in user activities, services, and network connectivity. The project will deliver innovative, useful, and usable concepts and tools to allow provisioning of services in large scale, dynamic, and heterogeneous environments. This research will have significant benefits to Australia. It will strengthen research capabilities and provide an ideal opportunity ....Next Generation Ubiquitous Service Spaces. The challenges facing the next generation ubiquitous service computing come from scale and variability in user activities, services, and network connectivity. The project will deliver innovative, useful, and usable concepts and tools to allow provisioning of services in large scale, dynamic, and heterogeneous environments. This research will have significant benefits to Australia. It will strengthen research capabilities and provide an ideal opportunity to train postgraduate research students in cutting edge technologies. It will enhance smart information use for useful information sharing among individuals, private or public organisations. It will facilitate the development of IT solutions that help citizens be self-supported.Read moreRead less
Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective ....Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective. In this project, we propose to develop a series of new techniques, such as 1) Android contextual analysis, 2) wrapper-based hill climbing algorithm, and 3) ensemble learning, to solve this problem. The outcomes will help Australia gain cutting edge technologies in adversarial machine learning and mobile security.Read moreRead less
Stream Data Classification in the Age of 5G Networks. This project aims to develop a novel stream data classification model to handle the challenges in the era of 5G networks, such as the scope of the stream data, the complexity of their relationship, the diversity of contained information and the incorrect readings of numerous sensors. The project addresses a significant knowledge gap by exploring and modelling the stronger correlation between data instances in the streams. The outcome is a sys ....Stream Data Classification in the Age of 5G Networks. This project aims to develop a novel stream data classification model to handle the challenges in the era of 5G networks, such as the scope of the stream data, the complexity of their relationship, the diversity of contained information and the incorrect readings of numerous sensors. The project addresses a significant knowledge gap by exploring and modelling the stronger correlation between data instances in the streams. The outcome is a system that is highly efficient, accurate and corrupted-data-tolerant classification solutions for individual stream data as well as multiple stream data. The expected benefits will be far-ranging and adaptable to many domains, such as smart home, medical and healthcare, transportation and manufacturing. Read moreRead less
Reconceptualising the information system as a service. Through parallel efforts in Australia and China, the study aims to propel 'IS-Impact', the Australia-originated and most extensively validated IS success measurement model, to become the Information Systems evaluation approach of choice globally, in both research and practice.
Unlocking benefits from digital investments. This project aims to address one of the most vexing questions in the management of information systems: how to unlock the value of digital investments. The project expects to develop new theory and evidence on how to achieve meaningful use of information systems at multiple levels of analysis. The project will especially benefit the health sector, and society, by helping health providers and vendors to maximise the value obtained from substantial inve ....Unlocking benefits from digital investments. This project aims to address one of the most vexing questions in the management of information systems: how to unlock the value of digital investments. The project expects to develop new theory and evidence on how to achieve meaningful use of information systems at multiple levels of analysis. The project will especially benefit the health sector, and society, by helping health providers and vendors to maximise the value obtained from substantial investment in digital technologies, and by developing evidence-based policies to optimise digital service delivery.Read moreRead less
Semantic Compliance in Complex Enterprise Information Systems. Large organisations have invested heavily to reduce the number of dependent information systems they support. Larger integrated systems should provide increased information reach and better coordination of activities. However there are major problems in practice - integration requires common meaning and context. Information-sharing within cooperating organisations is improved by enforcing compliance of databases with a master model. ....Semantic Compliance in Complex Enterprise Information Systems. Large organisations have invested heavily to reduce the number of dependent information systems they support. Larger integrated systems should provide increased information reach and better coordination of activities. However there are major problems in practice - integration requires common meaning and context. Information-sharing within cooperating organisations is improved by enforcing compliance of databases with a master model. Our research refines, extends and tests an approach for semantic compliance checking based on mathematical category theory. It investigates structures that help detect irregular data. The research uses models from NSW Health. Outcomes include improved processes and software for checking compliance and data anomalies.Read moreRead less