Insecure Work and the Mental Health of Workers and their Families. This project aims to explore the relationship between insecure work and mental health by applying advanced econometric methods to large survey and administrative datasets, and newly collected survey data. This project expects to provide causal policy-relevant estimates of how insecure work is affecting the wellbeing of workers and their families, and for whom the effects are most harmful. It also expects to inform on how poor men ....Insecure Work and the Mental Health of Workers and their Families. This project aims to explore the relationship between insecure work and mental health by applying advanced econometric methods to large survey and administrative datasets, and newly collected survey data. This project expects to provide causal policy-relevant estimates of how insecure work is affecting the wellbeing of workers and their families, and for whom the effects are most harmful. It also expects to inform on how poor mental health influences the types of jobs that people enter into. This should provide significant benefits, including evidence needed to improve existing workplace and employment programs, and evidence ensuring that assistance is efficiently targeted to those workers and industries with the greatest need.Read moreRead less
Next-generation techniques for analysing massive data sets. To process enormous amounts of data, leading computing companies are turning to modern computing frameworks, for which little theory of efficient computational techniques has been developed. This project will resolve key theoretical questions and provide fast techniques for poorly understood pattern recognition and bioinformatics problems.
Living on the Margin: The Relationship between Mental Health and Work in Australia. This project will assess the relationship between Australians' mental health and their work, for example, employment status, work conditions and hours. The study is the first to exploit the detailed timing of mental health and employment transitions to identify whether poor labour market outcomes lead to poor mental health or whether the reverse is true. New Australian data will be used to understand whether the ....Living on the Margin: The Relationship between Mental Health and Work in Australia. This project will assess the relationship between Australians' mental health and their work, for example, employment status, work conditions and hours. The study is the first to exploit the detailed timing of mental health and employment transitions to identify whether poor labour market outcomes lead to poor mental health or whether the reverse is true. New Australian data will be used to understand whether the link between mental health and work adds to the economic vulnerability of families and those at risk of homelessness. The results will advance our understanding of the way that mental health affects overall economic well-being and will inform current policy initiatives to promote economic participation and good mental health.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100463
Funder
Australian Research Council
Funding Amount
$380,364.00
Summary
Exceptional upward mobility against all odds: Non-cognitive skills and early-childhood disadvantage. Children from economically disadvantaged backgrounds who exceed their parents' social achievements are pioneers. The aims of this project are to introduce this exceptional upward mobility as an alternative measure of economic success and to study its distribution and determinants. The main hypothesis is that these pioneers, apart from being intelligent, have a set of non-cognitive skills that mak ....Exceptional upward mobility against all odds: Non-cognitive skills and early-childhood disadvantage. Children from economically disadvantaged backgrounds who exceed their parents' social achievements are pioneers. The aims of this project are to introduce this exceptional upward mobility as an alternative measure of economic success and to study its distribution and determinants. The main hypothesis is that these pioneers, apart from being intelligent, have a set of non-cognitive skills that make them successful. This will be the first study to analyse these individuals and the personality-related determinants of their life trajectories. It will contribute to understand the various pathways via which non-cognitive skills affect upward mobility, and assess their malleability during childhood or adolescence.Read moreRead less
Intergenerational Disadvantage: Causes, Pathways, and Consequences. This Project aims to prevent poor Australian children from becoming poor adults by developing scientific evidence and creative policy approaches to overcome entrenched disadvantage. The Project will generate new knowledge on how social assistance dependence is linked across generations using new Australian data. Expected outcomes are the identification of i) the causal link between parents’ and children’s social assistance depen ....Intergenerational Disadvantage: Causes, Pathways, and Consequences. This Project aims to prevent poor Australian children from becoming poor adults by developing scientific evidence and creative policy approaches to overcome entrenched disadvantage. The Project will generate new knowledge on how social assistance dependence is linked across generations using new Australian data. Expected outcomes are the identification of i) the causal link between parents’ and children’s social assistance dependence; ii) the pathways through which youths overcome disadvantage; and iii) the role of family structure in transmitting disadvantage. Transforming the evidence base, the findings will have significant benefits in redesigning the Australian social safety net, promoting social and economic mobility.Read moreRead less
A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise th ....A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise the mobile edge computing platform from the computation, storage, and network aspects. The invented mobile edge computing platform will enable more intelligent business applications for various industries, e.g., IT, manufacturing, and media, to appear, thus benefiting both the economy of Australia.Read moreRead less
Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Knowledge Graph-driven Software Vulnerability Risk Discovery and Assessment. This project aims to alleviate cyberattacks which are increasingly being crafted to attack software vulnerabilities and weaknesses by utilising advanced knowledge graphs and deep learning techniques. This project expects to construct an innovative software vulnerability knowledge graph and develop advanced graph-based algorithms and models. Expected outcomes of this project include the enhanced capacity to defend agains ....Knowledge Graph-driven Software Vulnerability Risk Discovery and Assessment. This project aims to alleviate cyberattacks which are increasingly being crafted to attack software vulnerabilities and weaknesses by utilising advanced knowledge graphs and deep learning techniques. This project expects to construct an innovative software vulnerability knowledge graph and develop advanced graph-based algorithms and models. Expected outcomes of this project include the enhanced capacity to defend against cyberattacks for both organisations and individuals in Australia and beyond, theory development in graph theory, refined graph neural network models and improved graph transfer learning algorithms.Read moreRead less
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less