Discovery Early Career Researcher Award - Grant ID: DE220101597
Funder
Australian Research Council
Funding Amount
$360,264.00
Summary
Empowering Users to Protect their Personal Privacy on Social Media. This Information Systems project aims to take a bold approach to finally overcome the paradoxical inertia of people who care about their privacy but do not protect it. This project integrates different psychological theories proposing a paradigm shift expecting to generate new knowledge in privacy research, which can currently neither explain nor provide means to overcome the vexing issue. Expected outcomes of the project includ ....Empowering Users to Protect their Personal Privacy on Social Media. This Information Systems project aims to take a bold approach to finally overcome the paradoxical inertia of people who care about their privacy but do not protect it. This project integrates different psychological theories proposing a paradigm shift expecting to generate new knowledge in privacy research, which can currently neither explain nor provide means to overcome the vexing issue. Expected outcomes of the project include a privacy behaviour model (PIM), privacy training program and system design solutions. This should offer substantial benefits as it integrates privacy research and guides behavioural models beyond Information Systems, provide means to solve the paradox, guide legislation and the privacy consent mechanism design.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101118
Funder
Australian Research Council
Funding Amount
$339,000.00
Summary
High performance density-based clustering in parallel environments. This project aims to conduct a comprehensive study on density-based clustering to improve data management in parallel computing environments. Clustering, a fundamental task in data management, is to group a set of objects such that objects in the same group (called a cluster) are more similar to each other than those in other groups in order to simplify retrieval of similar information. Clustering is widely used in many fields i ....High performance density-based clustering in parallel environments. This project aims to conduct a comprehensive study on density-based clustering to improve data management in parallel computing environments. Clustering, a fundamental task in data management, is to group a set of objects such that objects in the same group (called a cluster) are more similar to each other than those in other groups in order to simplify retrieval of similar information. Clustering is widely used in many fields including machine learning, pattern recognition, information retrieval, bioinformatics and image analysis. It is expected that the developed clustering techniques will provide significant performance improvements in industry sectors where decisions are made based on clustering data analytics, such as the sectors of finance, renewable energy and artificial intelligence.Read moreRead less
Business process decomposition. This project will develop guidelines to assist analysts in managing complex business processes by decomposing them into more manageable processes. The project outcomes will make it easier to make informed decisions about process re-design, business innovation or software development, thus contributing to project cost savings.
Discovery Early Career Researcher Award - Grant ID: DE240100269
Funder
Australian Research Council
Funding Amount
$448,117.00
Summary
Maintaining Human Expertise in an AI-driven World. While information systems with artificial intelligence are increasingly used to support or automate work tasks, this can come at a cost to the development and retention of essential skills in workers. Skill erosion can jeopardise safety and fairness in contexts where humans' skills are needed. This innovative project leverages systems thinking, case studies and action design research to investigate how leveraging artificial intelligence shapes w ....Maintaining Human Expertise in an AI-driven World. While information systems with artificial intelligence are increasingly used to support or automate work tasks, this can come at a cost to the development and retention of essential skills in workers. Skill erosion can jeopardise safety and fairness in contexts where humans' skills are needed. This innovative project leverages systems thinking, case studies and action design research to investigate how leveraging artificial intelligence shapes workers' skills. Its expected outcomes include a new systems theory of skill erosion and organisational guidelines for managing artificial intelligence. These can help organisations maximise human potential by striking a balance between relying on automation and maintaining workers' skills. Read moreRead less
Discontinued Use of Social Media: Dichotomy of Rational & Emotional Choices. This project aims to gain a better understanding of discontinued use of social media. For businesses and governments, social media serves as a dynamic channel for engagement, value co-creation, and business analytics marketing that is lost when users choose to discontinue its use. This project will generate new knowledge of rational and emotional decision criteria, enabling design features of social media, and their com ....Discontinued Use of Social Media: Dichotomy of Rational & Emotional Choices. This project aims to gain a better understanding of discontinued use of social media. For businesses and governments, social media serves as a dynamic channel for engagement, value co-creation, and business analytics marketing that is lost when users choose to discontinue its use. This project will generate new knowledge of rational and emotional decision criteria, enabling design features of social media, and their complex effects on discontinued use of social media. The expected outcome of this project is an integrated theory of social media discontinuance. The project findings provide significant benefits, such as strategic capabilities and actionable knowledge for businesses and governments to mitigate social media discontinued use.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100489
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
Heisenberg’s uncertainty principle, the limits to knowledge, and the foundations of quantum theory. This project will establish what the uncertainty principle can teach us about quantum foundations, and will address why quantum theory obeys such a principle and why Nature chose quantum theory amongst other possible theories. Specifically, this project will determine how the uncertainty principle restricts the information one can get on incompatible measurements, by deriving new complementarity r ....Heisenberg’s uncertainty principle, the limits to knowledge, and the foundations of quantum theory. This project will establish what the uncertainty principle can teach us about quantum foundations, and will address why quantum theory obeys such a principle and why Nature chose quantum theory amongst other possible theories. Specifically, this project will determine how the uncertainty principle restricts the information one can get on incompatible measurements, by deriving new complementarity relations. These will clarify what can or cannot be done in the context of quantum information. This project will determine how much of a theory can be reconstructed from such relations and what other fundamental axioms are required to fully derive quantum theory. This will shed light on the reasons why Nature prefers it to other theories.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100712
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Principles and applications of quantum causal discovery. This project aims to develop a comprehensive framework to discover causal relations in quantum experiments. Quantum information can solve practical problems involving quantum systems, providing great insight in the foundations of physics and a promise of revolutionary technology. However, little is known about inferring causal relations between quantum events, a core problem in all scientific disciplines. This project aims to develop tools ....Principles and applications of quantum causal discovery. This project aims to develop a comprehensive framework to discover causal relations in quantum experiments. Quantum information can solve practical problems involving quantum systems, providing great insight in the foundations of physics and a promise of revolutionary technology. However, little is known about inferring causal relations between quantum events, a core problem in all scientific disciplines. This project aims to develop tools to efficiently solve this task, which is expected to open a new direction in quantum information and applied quantum technologies, and provide a deeper understanding of causality in the quantum world. Such advances in the theoretical background for developing quantum technologies could benefit the economy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100409
Funder
Australian Research Council
Funding Amount
$367,576.00
Summary
Knowledge, Ignorance, and Security in Higher-dimensional Quantum Systems. This project aims to provide new understanding of information and security in higher-dimensional systems, and to exploit this to deliver a secure, high-capacity, quantum image transfer protocol for quantum communication and quantum cryptography technologies. In quantum physics, the best possible knowledge of a whole does not include the best possible knowledge of the parts: not knowing any of the letters of a word does not ....Knowledge, Ignorance, and Security in Higher-dimensional Quantum Systems. This project aims to provide new understanding of information and security in higher-dimensional systems, and to exploit this to deliver a secure, high-capacity, quantum image transfer protocol for quantum communication and quantum cryptography technologies. In quantum physics, the best possible knowledge of a whole does not include the best possible knowledge of the parts: not knowing any of the letters of a word does not imply not knowing what the word is. This project aims to examine the high-dimensional transverse spatial modes of photon to show that the converse is also true: not knowing the word does not imply not knowing any of the letters. Project outcomes may have applications in remote sensing and surveillance.Read moreRead less
A Novel Approach to Semi-Supervised Statistical Machine Learning. Recent successes in the construction of classifiers for making diagnoses and predictions are due in part to their using much data labelled with respect to their class of origin. But typically there are little labelled data but plentiful unlabelled data. The goal of semi-supervised learning (SSL) is to leverage large amounts of unlabelled data to improve the performance using only small labelled datasets and so SSL is of paramount ....A Novel Approach to Semi-Supervised Statistical Machine Learning. Recent successes in the construction of classifiers for making diagnoses and predictions are due in part to their using much data labelled with respect to their class of origin. But typically there are little labelled data but plentiful unlabelled data. The goal of semi-supervised learning (SSL) is to leverage large amounts of unlabelled data to improve the performance using only small labelled datasets and so SSL is of paramount importance to applications where it is expensive or impractical to obtain much labelled data. The project is to develop a novel SSL approach that adopts a missingness mechanism for the missing labels to build a classifier that not only improves accuracy but it can be greater than if the missing labels were known.
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Advanced Mixture Models for the Analysis of Modern-Day Data. Extracting key information from huge data sets is critical to the scientific successes of the future. This project will develop novel mixture models that can be used directly to analyse complex and high-dimensional data sets that may consist of thousands of variables observed on only a limited number of entities. In order to handle the challenging problems arising in the latter situation. This project develops mixtures of factor models ....Advanced Mixture Models for the Analysis of Modern-Day Data. Extracting key information from huge data sets is critical to the scientific successes of the future. This project will develop novel mixture models that can be used directly to analyse complex and high-dimensional data sets that may consist of thousands of variables observed on only a limited number of entities. In order to handle the challenging problems arising in the latter situation. This project develops mixtures of factor models with options for skew distributions that can be used to effectively analyse such data. Key applications include the domains of bioinformatics, biostatistics, business, data mining, economics, finance, image analysis, marketing, and personalised medicine, among many others.Read moreRead less