Scaling Disk-Resident Learned Indexes For Database Systems. This project aims to investigate new disk-resident learned indexing algorithms to store and process data in database systems by advancing the state-of-the-art in memory-resident learned modeling. This project expects to generate new knowledge in the area of digital storage technologies utilising novel and efficient techniques in learned indexing for big data. This should provide significant benefits to enable modern database systems to ....Scaling Disk-Resident Learned Indexes For Database Systems. This project aims to investigate new disk-resident learned indexing algorithms to store and process data in database systems by advancing the state-of-the-art in memory-resident learned modeling. This project expects to generate new knowledge in the area of digital storage technologies utilising novel and efficient techniques in learned indexing for big data. This should provide significant benefits to enable modern database systems to scale with the massive growth of data, improve the efficiency of data processing, improve the effectiveness of projects that utilise big data, and dramatically reduce energy costs in Australian data centres when storing and retrieving data from databases and lower their carbon footprints.Read moreRead less
Loss-based Bayesian Prediction. This project proposes a new paradigm for prediction. Using state-of-the-art computational methods, the project aims to produce accurate, fit for purpose, predictions which, by design, reduce the loss incurred when the prediction is inaccurate. Theoretical validation of the new predictive method, without reliance on knowledge of the correct statistical model, is an expected outcome, as is an extensive numerical assessment of its performance in empirical settings. T ....Loss-based Bayesian Prediction. This project proposes a new paradigm for prediction. Using state-of-the-art computational methods, the project aims to produce accurate, fit for purpose, predictions which, by design, reduce the loss incurred when the prediction is inaccurate. Theoretical validation of the new predictive method, without reliance on knowledge of the correct statistical model, is an expected outcome, as is an extensive numerical assessment of its performance in empirical settings. The new paradigm should produce significant benefits for all fields in which the consequences of predictive inaccuracy are severe. Problems that lead to substantial economic, financial or environmental loss if predictions are incorrect will be given particular attention.Read moreRead less
New methods for solving large models with rational expectations. This project aims to introduce innovative numerical methods to economic modelling to overcome computational barriers associated with the formation of expectations by households and investors. The outcome will be economic models that include sophisticated rational expectations specifications while retaining considerable industry, regional and occupational disaggregation. There will be benefits to economic policy by broadening the r ....New methods for solving large models with rational expectations. This project aims to introduce innovative numerical methods to economic modelling to overcome computational barriers associated with the formation of expectations by households and investors. The outcome will be economic models that include sophisticated rational expectations specifications while retaining considerable industry, regional and occupational disaggregation. There will be benefits to economic policy by broadening the range of questions that can be answered by detailed models and there will be benefits in the research community by providing a platform for examining dynamics in large-scale economic systems.Read moreRead less
Next generation computable general equilibrium modelling for economic policy formulation and evaluation. The aim of this project is to create the next generation of computable general equilibrium (CGE) models. The project will do this by introducing into the CGE framework theoretical structures and data from engineering and environmental studies as well as from modern macroeconomics, labour economics, industrial organization, monetary economics and behavioural economics. CGE models are used by ....Next generation computable general equilibrium modelling for economic policy formulation and evaluation. The aim of this project is to create the next generation of computable general equilibrium (CGE) models. The project will do this by introducing into the CGE framework theoretical structures and data from engineering and environmental studies as well as from modern macroeconomics, labour economics, industrial organization, monetary economics and behavioural economics. CGE models are used by governments throughout the world to assist in policy formulation. The outcome of the project will be to improve the application of CGE models in the areas of: trade; environment; energy; immigration; public finance; and macro stimulation. Read moreRead less
Australian Real Time Data: Construction, Analysis and Implications for Real Time Policy Making. This first comprehensive macroeconomic real time database for Australia recording the actual data available to policy makers at the time of making decisions will serve as a standard reference for accurate ex post macroeconomic policy evaluation and for accurate forecasts and decision making which are robust to data revisions. The free database will be of interest to Australian researchers, economists, ....Australian Real Time Data: Construction, Analysis and Implications for Real Time Policy Making. This first comprehensive macroeconomic real time database for Australia recording the actual data available to policy makers at the time of making decisions will serve as a standard reference for accurate ex post macroeconomic policy evaluation and for accurate forecasts and decision making which are robust to data revisions. The free database will be of interest to Australian researchers, economists, forecasters and policy makers. Readily applicable and interpretable forecasts of the business cycle and the current state of the Australian (and US) economy (e.g. likelihood of recessions or inflation) will be of direct relevance to Australian policy-makers in Government, the Reserve Bank of Australia, and to the Australian decision-makers. Read moreRead less
Coupling tropical cyclone and climate physics with ocean waves. It is argued that without accounting for the wave effects directly, the physics of large-scale air-sea interactions is inaccurate and incomplete. The project will introduce explicit coupling of large-scale atmospheric and oceanic phenomena with the physics of surface waves which should lead to improved predictions of tropical cyclones and climate.
Organisational Motivation as a Predictor of Benefits from the Adoption of Information Technology. IOS are becoming increasingly important for organisations to remain competitive in a global marketplace. By using organisational motivations to better understand how to design and structure the processes for IOS implementation and set more realistic expectation, Australian organisations will be able to develop more effective, evidence-based methods for IOS implementation. The theory being tested is ....Organisational Motivation as a Predictor of Benefits from the Adoption of Information Technology. IOS are becoming increasingly important for organisations to remain competitive in a global marketplace. By using organisational motivations to better understand how to design and structure the processes for IOS implementation and set more realistic expectation, Australian organisations will be able to develop more effective, evidence-based methods for IOS implementation. The theory being tested is an original contribution in a growing area of information technology research. The data and rigorously tested research protocols developed will enhance Australia'a research standing, contribute to university teaching and researcher training, and improve the effectiveness and efficiency of the Australian information technology industry. Read moreRead less
Adoption of electronic commerce-enabled supply chain management: a trans-national comparison study. The framework developed will allow practitioners to identify an appropriate strategy to promote the adoption of EC-enabled SCM in developing countries. By including Indonesia and China as two of Australia's large trading partners in this study, the relationships can be further enhanced, leading to an increase in Australia's export market and improvement in national productivity and growth. Through ....Adoption of electronic commerce-enabled supply chain management: a trans-national comparison study. The framework developed will allow practitioners to identify an appropriate strategy to promote the adoption of EC-enabled SCM in developing countries. By including Indonesia and China as two of Australia's large trading partners in this study, the relationships can be further enhanced, leading to an increase in Australia's export market and improvement in national productivity and growth. Through wider adoption of EC-enabled SCM by Australia's trading partners, Australia can trade with them more efficiently. The empirical data and the research instruments developed will also enhance Australia's research standing and contribute to university teaching and research training. Read moreRead less
Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bu ....Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bulk of the data. As a consequence, the statistical analyses may lead to wrong conclusions. This project aims to develop new methodologies to solve this problem for a large class of studies. Applications to stock market risk, exchange rate, and diagnosis of heart diseases will illustrate the new methods.Read moreRead less
Testing the Big Bets Theory of strategic IT decision making. This project will test a new theory of strategic IT decision making called the Big-Bets theory. If confirmed, senior decision makers will have grounds for requesting more evidence-based decision making for major IT projects such as the Australian Government's IT outsourcing initiative, Telstra's Siebel-based CRM, and Victoria's Myki.