Making sense of trajectory data: a database approach. This project investigates new challenges related to providing functionality, flexibility and efficiency for large scale trajectory data management and processing. The expected outcome includes significant technical contributions in novel indexing structures and advanced query processing methods for making better use of rich trajectory data.
The Open Innovation Process: Factors and Technologies that Matter. This project aims to identify approaches to enable firms to find and introduce ideas through open innovation. Open innovation, with its focus on external sources of ideas, is a promising approach for increasing organisational innovation. While uptake of open innovation is on the increase, the lack of understanding of practices and technologies used to successfully introduce it into firms, limits its usefulness and results in wast ....The Open Innovation Process: Factors and Technologies that Matter. This project aims to identify approaches to enable firms to find and introduce ideas through open innovation. Open innovation, with its focus on external sources of ideas, is a promising approach for increasing organisational innovation. While uptake of open innovation is on the increase, the lack of understanding of practices and technologies used to successfully introduce it into firms, limits its usefulness and results in wasted resources. This project aims to investigate open innovation and relevant technologies to identify success factors for the idea generation and assessment phases of open innovation, develop guidelines for their application, identify effective technologies and related recommendations for use, and quantify their impact on innovation.Read moreRead less
Smart micro learning with open education resources. This project aims to enhance personalised learning systems for mobile device users . Open online education is gaining in popularity with its ease of use. The project tackles the problems in relation to more and more popular mobile and ‘micro learning’, where people learn on the move and within small units of time. Ontology and machine learning technologies used in this project will help to optimise the offering of open education resources, by p ....Smart micro learning with open education resources. This project aims to enhance personalised learning systems for mobile device users . Open online education is gaining in popularity with its ease of use. The project tackles the problems in relation to more and more popular mobile and ‘micro learning’, where people learn on the move and within small units of time. Ontology and machine learning technologies used in this project will help to optimise the offering of open education resources, by providing solutions meeting each individual learner’s needs. The main outcome will consolidate a cloud based micro learning framework through integrating a group of novel algorithms.Read moreRead less
Resolving the Alignment Issue between Business and Information Technology in Organizations. How to align a firm’s IT resources with its business needs attracts much attention in organisations, and hence in IS research. To date, however, work in this area has been principally atheoretic, and sometimes inconsistent. This project seeks to resolve theoretical inconsistencies to provide an internally consistent explanation on how to achieve alignment, and thereby improve business performance. This pr ....Resolving the Alignment Issue between Business and Information Technology in Organizations. How to align a firm’s IT resources with its business needs attracts much attention in organisations, and hence in IS research. To date, however, work in this area has been principally atheoretic, and sometimes inconsistent. This project seeks to resolve theoretical inconsistencies to provide an internally consistent explanation on how to achieve alignment, and thereby improve business performance. This project advances knowledge by engaging in: the first multi-theoretic study of how IT alignment evolves; the first comparison of institutional theory, punctuated equilibrium theory, and complexity theory; and the first study that combines a dual-case methodology with simulations in IS research.Read moreRead less
Developing innovative methodologies to understand nano-adhesion/friction. The project seeks to improve the measurement of nanoscale adhesion and friction. The understanding of adhesion and friction between a nanowhisker and a substrate is crucial for developing next-generation nanodevices. However, the current methods for measuring nanoscale adhesion and friction are inaccurate and can produce contradictory results, due to the extreme challenges in mastering sophisticated measuring techniques an ....Developing innovative methodologies to understand nano-adhesion/friction. The project seeks to improve the measurement of nanoscale adhesion and friction. The understanding of adhesion and friction between a nanowhisker and a substrate is crucial for developing next-generation nanodevices. However, the current methods for measuring nanoscale adhesion and friction are inaccurate and can produce contradictory results, due to the extreme challenges in mastering sophisticated measuring techniques and the lack of understanding of their underlying mechanisms. This project aims to develop innovative ‘push-peel’ and ‘push-slide’ methods to accurately measure those properties and to further understand their fundamental origins. Successful outcomes from this study would not only solve a long-standing problem in the application of nanowhiskers, but also generate new nanosurface science.Read moreRead less
Effective Recommendations based on Multi-Source Data. Large-scale data collected from multiple sources such as the Web, sensor networks, academic publications, and social networks provide a new opportunity to exploit useful information for effective and efficient recommendations and decision making. The project will propose a new framework of recommender systems that is based on analysing relationships between different types of objects from multiple data sources. A graph model will be built to ....Effective Recommendations based on Multi-Source Data. Large-scale data collected from multiple sources such as the Web, sensor networks, academic publications, and social networks provide a new opportunity to exploit useful information for effective and efficient recommendations and decision making. The project will propose a new framework of recommender systems that is based on analysing relationships between different types of objects from multiple data sources. A graph model will be built to represent the extracted semantic relationships and novel linkage-analysis based algorithms will be developed for ranking objects. The results from this project will underpin many critical applications such as healthcare.Read moreRead less
Goal pursuit decisions under environmental and social uncertainty. This project aims to develop an integrative computational model that explains how people prioritise the allocation of resources to different goals in the face of uncertainty. The project seeks to test a new theory through a series of experiments in which participants pursue goals by themselves in unpredictable environments, or in competition against an opponent. Expected outcomes include an integrated theory that accounts for the ....Goal pursuit decisions under environmental and social uncertainty. This project aims to develop an integrative computational model that explains how people prioritise the allocation of resources to different goals in the face of uncertainty. The project seeks to test a new theory through a series of experiments in which participants pursue goals by themselves in unpredictable environments, or in competition against an opponent. Expected outcomes include an integrated theory that accounts for the effects of both environmental and social uncertainty in the pursuit of multiple goals. Intended benefits include the development of computational models that can simulate human decision making in complex environments, analyse new concepts of operation, redesign work roles, and identify factors that reduce risk in decision-making.Read moreRead less
Modelling human decision making in complex environments. The project aims to extend quantitative psychological models of simple choice tasks to decision-making with complex stimuli in complex environments. The new formal models are designed to provide a comprehensive account of behaviour, including the choices that are made, how long it takes to make them, and how choices and choice times vary within and between decision-makers. The models would explain how people adapt to changes in task demand ....Modelling human decision making in complex environments. The project aims to extend quantitative psychological models of simple choice tasks to decision-making with complex stimuli in complex environments. The new formal models are designed to provide a comprehensive account of behaviour, including the choices that are made, how long it takes to make them, and how choices and choice times vary within and between decision-makers. The models would explain how people adapt to changes in task demands when dealing with multiple stimuli or performing multiple tasks concurrently under time pressure. The project aims to provide the basic research that is needed to extend psychological models of choice to complex ‘real-world’ tasks, such air traffic control and maritime surveillance.Read moreRead less
Gaining control of the future: The cognitive development of foresight. Because humans can anticipate their limitations, they can act in the present to shape their future for the better.
This project aims to chart four key developmental processes by which children gain this control over their future
outcomes. It will use novel experimental paradigms to map children’s growing ability to compensate for their limits
with strategic planning, and to improve their future capacities by acquiring new kno ....Gaining control of the future: The cognitive development of foresight. Because humans can anticipate their limitations, they can act in the present to shape their future for the better.
This project aims to chart four key developmental processes by which children gain this control over their future
outcomes. It will use novel experimental paradigms to map children’s growing ability to compensate for their limits
with strategic planning, and to improve their future capacities by acquiring new knowledge and innovating
technical solutions. The cognitive underpinnings of these critical behaviours are still poorly understood. This
project will therefore provide the essential empirical foundation for fostering the development of wiser, more
skilled, and more innovative young people.Read moreRead less
Characterisation of amorphous metal materials. This project aims to develop in-depth understanding of magnetisation mechanisms and accurate characterisation of amorphous metal materials for effectively designing advanced transformers. This project expects to generate new knowledge in the area of property understanding and modelling of advanced soft magnetic materials through extensive theoretical and experimental studies on material samples and transformer prototypes. The intended outcome is hig ....Characterisation of amorphous metal materials. This project aims to develop in-depth understanding of magnetisation mechanisms and accurate characterisation of amorphous metal materials for effectively designing advanced transformers. This project expects to generate new knowledge in the area of property understanding and modelling of advanced soft magnetic materials through extensive theoretical and experimental studies on material samples and transformer prototypes. The intended outcome is high-frequency high-power-density transformers, which are crucial in many distributed renewable energy systems. The project would significantly benefit Australian manufacturing industry at the high-end market.Read moreRead less