Discovery Early Career Researcher Award - Grant ID: DE190100840
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Monitoring financial bubbles using high-frequency data. This project aims to develop an econometric procedure for monitoring speculative behaviour, often labelled as bubbles, in financial markets. There has been widespread recognition that financial speculation can inflict harm on the real economy. Crises or recessions are often preceded by excessive asset market speculation. This project will utilise intraday information for bubble detection and address major technical challenges arising from h ....Monitoring financial bubbles using high-frequency data. This project aims to develop an econometric procedure for monitoring speculative behaviour, often labelled as bubbles, in financial markets. There has been widespread recognition that financial speculation can inflict harm on the real economy. Crises or recessions are often preceded by excessive asset market speculation. This project will utilise intraday information for bubble detection and address major technical challenges arising from high-frequency financial data. It is expected to significantly improve the speed and accuracy of bubble detection, thereby providing more timely and precise warning alerts for investment decisions, market surveillance and policy action.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100795
Funder
Australian Research Council
Funding Amount
$365,000.00
Summary
New approaches to estimating nonlinear time-varying macroeconometric models. Quantitative models are essential for formulating good policies. In a changing world, the analysis should be based on models that allow the behaviour of the economy to change over time. Due to computational limitations, however, one is often restricted to linear models, even when nonlinear ones are more appropriate. This project aims to develop new methods for estimating time-varying nonlinear models. Two important appl ....New approaches to estimating nonlinear time-varying macroeconometric models. Quantitative models are essential for formulating good policies. In a changing world, the analysis should be based on models that allow the behaviour of the economy to change over time. Due to computational limitations, however, one is often restricted to linear models, even when nonlinear ones are more appropriate. This project aims to develop new methods for estimating time-varying nonlinear models. Two important applications are also considered: one investigates how the zero lower bound on interest rates affects the monetary policy transmission mechanism; and, the other examines how uncertainties about monetary and fiscal policy affect economic growth and inflation. This project will have strong practical significance for conducting macroeconomic policy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100027
Funder
Australian Research Council
Funding Amount
$467,754.00
Summary
Making a life with less: youth underemployment over the life course. This project aims to investigate the experiences and impacts of underemployment on young people. Using high-quality longitudinal data and qualitative interviews, this project expects to generate new, foundational knowledge about the employment pathways young people take following underemployment and the strategies they use to mitigate its effects. In doing so, this project aims to reveal the impacts underemployment has on young ....Making a life with less: youth underemployment over the life course. This project aims to investigate the experiences and impacts of underemployment on young people. Using high-quality longitudinal data and qualitative interviews, this project expects to generate new, foundational knowledge about the employment pathways young people take following underemployment and the strategies they use to mitigate its effects. In doing so, this project aims to reveal the impacts underemployment has on young people’s lives within and outside work, including their relationships, family formation and well-being. This much-needed research aims to provide significant benefits for policymakers and service providers that improve the lives of young people.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100333
Funder
Australian Research Council
Funding Amount
$322,294.00
Summary
Is Precarious Employment Reshaping the Lives of Young Adults? This project aims to investigate the impact of the growth of insecure and non-standard employment on the transition to adulthood. It is recognised that precarious employment among young people can influence career outcomes, but very little is known about its impact beyond work. In Australia and other developed countries, many young people are making housing transitions, building relationships and forming attitudes towards work–life–fa ....Is Precarious Employment Reshaping the Lives of Young Adults? This project aims to investigate the impact of the growth of insecure and non-standard employment on the transition to adulthood. It is recognised that precarious employment among young people can influence career outcomes, but very little is known about its impact beyond work. In Australia and other developed countries, many young people are making housing transitions, building relationships and forming attitudes towards work–life–family questions while negotiating complex and insecure employment. This project has the potential to provide new knowledge of the resources that government, educators, and youth service providers should make available to help young people achieve their goals, hence supporting economic participation, social inclusion and quality of life.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100693
Funder
Australian Research Council
Funding Amount
$405,458.00
Summary
Financial Cycles and the Macroeconomy. The project aims to measure and understand the drivers of the financial cycle. As unsustainable financial conditions, such as excess credit, tend to precede financial cycle busts, which often eventuate into recessions, the project aims to also shed light on the interaction between the financial cycle and macroeconomy. These aims are expected to be achieved through the application of a new set of econometric tools to estimate and interpret financial cycles. ....Financial Cycles and the Macroeconomy. The project aims to measure and understand the drivers of the financial cycle. As unsustainable financial conditions, such as excess credit, tend to precede financial cycle busts, which often eventuate into recessions, the project aims to also shed light on the interaction between the financial cycle and macroeconomy. These aims are expected to be achieved through the application of a new set of econometric tools to estimate and interpret financial cycles. The expected outcomes of this project include new insights for institutions such as the Reserve Bank of Australia and should provide significant benefit through the appropriate design of macroeconomic policy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100028
Funder
Australian Research Council
Funding Amount
$369,720.00
Summary
Promoting work-life balance: do flexible work arrangements really work for employees in Australia? The research investigates the impact of flexible work arrangements available in the workplace on the time use and work-life balance of employees. It establishes which arrangements most effectively support employees to balance work and non-work time, with significant implications for social and organisational policy.
Discovery Early Career Researcher Award - Grant ID: DE190100045
Funder
Australian Research Council
Funding Amount
$377,829.00
Summary
Efficient and effective analytics for real-world time series forecasting. This project aims to create efficient, effective techniques that provide accurate forecasts for heterogeneous sets of time series of varying sizes. Exploiting similarities between time series means using many related series, not larger series when building forecasts. The expected outcomes should be innovative methods that improve accuracy and allow forecasting with shorter time series. The project addresses the need to exp ....Efficient and effective analytics for real-world time series forecasting. This project aims to create efficient, effective techniques that provide accurate forecasts for heterogeneous sets of time series of varying sizes. Exploiting similarities between time series means using many related series, not larger series when building forecasts. The expected outcomes should be innovative methods that improve accuracy and allow forecasting with shorter time series. The project addresses the need to exploit properties of big data accurately in a short time frame, which is transforming many industries. This should enable more accurate and reliable forecasts across industries as diverse as retail, food manufacturing, transport, mining, tourism, energy, and technology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101628
Funder
Australian Research Council
Funding Amount
$301,970.00
Summary
Non-Intrusive Resource Sharing for Cloud Data Centre Efficiency. Resource sharing using hardware virtualisation has become increasingly common for cloud data centre efficiency. Such virtualisation allows multiple workloads to share a common set of resources in a single physical machine. In practice, however, these co-located workloads often compete for resources, leading to their resource usage being non-isolable and intrusive. This intrusive resource sharing is a major source of cloud data cent ....Non-Intrusive Resource Sharing for Cloud Data Centre Efficiency. Resource sharing using hardware virtualisation has become increasingly common for cloud data centre efficiency. Such virtualisation allows multiple workloads to share a common set of resources in a single physical machine. In practice, however, these co-located workloads often compete for resources, leading to their resource usage being non-isolable and intrusive. This intrusive resource sharing is a major source of cloud data centre inefficiency. This project will develop non-intrusive resource allocation and scheduling solutions that enable co-located workloads to organically use resources. These solutions exploit the heterogeneity and dynamicity of cloud data centres that are often perceived as the main hurdles of resource management.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101024
Funder
Australian Research Council
Funding Amount
$373,000.00
Summary
High-definition carbon-dating of linguistic pasts. This project aims to harness the insights of dissipating information, to discover language histories by bringing together two high-definition technologies: powerful, computational statistical engines pioneered in genetics; and fine-grained, statistically optimised observations of language structure. It seeks new insight into how languages reveal history, and how cultural groups speaking the Uralic languages of Eurasia and Australian Aboriginal l ....High-definition carbon-dating of linguistic pasts. This project aims to harness the insights of dissipating information, to discover language histories by bringing together two high-definition technologies: powerful, computational statistical engines pioneered in genetics; and fine-grained, statistically optimised observations of language structure. It seeks new insight into how languages reveal history, and how cultural groups speaking the Uralic languages of Eurasia and Australian Aboriginal languages diverged, spread and interacted, from a distant past to the recent present.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100007
Funder
Australian Research Council
Funding Amount
$391,947.00
Summary
An Adaptive and Intelligent Service Level Agreement Negotiation System for Web-Based Service-Oriented Grid Computing. This project will develop an intelligent negotiation system for Service Level Agreement (SLA) in web-based service-oriented grid computing. The specific aims include computational models for SLA negotiation representation, intelligent management of SLA negotiation procedures and adaptive learning for SLA negotiation system improvement. The significance of this project lies in its ....An Adaptive and Intelligent Service Level Agreement Negotiation System for Web-Based Service-Oriented Grid Computing. This project will develop an intelligent negotiation system for Service Level Agreement (SLA) in web-based service-oriented grid computing. The specific aims include computational models for SLA negotiation representation, intelligent management of SLA negotiation procedures and adaptive learning for SLA negotiation system improvement. The significance of this project lies in its promises to realise the automation of SLA negotiation through using intelligent and computational models, so as to greatly improve the efficiency of web-based service systems. The research results will enable software engineers to develop more robust and intelligent service-oriented systems through web-based computational grids.Read moreRead less