Intelligent real time multi-site controller for conserving energy in remote areas and in the resource industry. This project researches the issues in achieving demand response for electricity usage in remote regions of Australia through the use of smart meters and web of things framework to provide ubiquitous monitoring and control of devices, intelligent control systems to dynamically change energy usage patterns and community-based social network architecture. This will lead to several benefit ....Intelligent real time multi-site controller for conserving energy in remote areas and in the resource industry. This project researches the issues in achieving demand response for electricity usage in remote regions of Australia through the use of smart meters and web of things framework to provide ubiquitous monitoring and control of devices, intelligent control systems to dynamically change energy usage patterns and community-based social network architecture. This will lead to several benefits, such as (a) the strengthening of Australian business competitiveness in these regions by reducing energy costs and increasing energy trading, (b) reduction in ecological impact through smarter utilisation of energy and shifting to renewable sources, (c) encourage local generation and distribution of electricity where communities can trade excess energy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100274
Funder
Australian Research Council
Funding Amount
$415,675.00
Summary
Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes wil ....Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes will advance big spatiotemporal data analytics and nonlinear optimisation theory for solving decision-making tasks towards a future energy system. This should promote the Australian power industry transition to a sustainable future grid based on a digitalisation approach to efficient energy management against climate changes.Read moreRead less
Double auction markets with heterogeneous boundedly rational traders. The project will study limit order markets for the formation of security prices in modern exchanges, allowing heterogeneity and bounded rationality of the economic agents who will engage in various trading strategies. The model developed will be of interest to market participants seeking to design more efficient and transparent markets.
Broadening Choice and Increasing Diversity in Public Schools. Currently, most families are limited to the public school in their catchment area, meaning the area in which they can afford to live. This leads to socio-economically and ethnically homogenous schools and entrenches disadvantage, as well as denying students the crucial life lessons that flow from being part of a diverse student body. This project aims to investigate a model for allocating public school places that integrates catchment ....Broadening Choice and Increasing Diversity in Public Schools. Currently, most families are limited to the public school in their catchment area, meaning the area in which they can afford to live. This leads to socio-economically and ethnically homogenous schools and entrenches disadvantage, as well as denying students the crucial life lessons that flow from being part of a diverse student body. This project aims to investigate a model for allocating public school places that integrates catchment areas. The expected outcome would be a system that gives families a wider choice, enabling them to enrol in out-of-area schools, while ensuring that allocations remain fair, equitable and balanced, and also delivering benefits such as achieving a desired level of diversity in student populations within schoolsRead moreRead less
Universal game-playing systems for randomised and imperfect-information games. This project will develop an artificial intelligence system that you can tell the rules of any new game and that then all by itself learns to play that game. The innovative aspect is that our system will be able to handle games with elements of chance, like dice, and where some information is hidden, as for example in most card games.
Testing strategy-proofness in matching markets: an experimental study. This project seeks to test and improve matching algorithms by investigating the effect of advice on strategy-proofness. Matching algorithms are used to solve allocation problems in designed markets (eg school or house allocation problems). Many of the algorithms employed are strategy-proof: participants never gain from strategising, that is, from lying about their preferences. Strategy-proofness had been seemingly validated b ....Testing strategy-proofness in matching markets: an experimental study. This project seeks to test and improve matching algorithms by investigating the effect of advice on strategy-proofness. Matching algorithms are used to solve allocation problems in designed markets (eg school or house allocation problems). Many of the algorithms employed are strategy-proof: participants never gain from strategising, that is, from lying about their preferences. Strategy-proofness had been seemingly validated by experimental research, but new evidence suggests that participants could be prone to follow wrong advice and therefore lie. In order to improve the performance of designed markets, the project proposes to further test strategy-proofness by investigating how advice can affect truth-telling in strategy-proof algorithms and whether learning can counteract or complement the effect of advice.Read moreRead less
The effect of competition and doctor heterogeneity on prices charged by doctors. Prices charged by doctors can have important effects on health care costs, access to health care and health status. This research will examine the determinants of prices charged by doctors. The results will be important in understanding the pricing practices of doctors and their impact on health care costs.
Nobody knows anything? Applying pari-mutuel prediction markets to the motion picture industry. This project will explore the predictability of unreleased motion pictures' theatrical box office revenues using incentive rich pari-mutuel prediction markets. The mechanism will promote price discovery and associated probability estimates that will benefit those already investing in the industry as well as encouraging new investment.
A New Approach to Information-Based Securities Trading. This project develops and tests a new approach to information-based securities trading, which can effectively describe trading dynamics and accurately measure the effects of information impounded in price and trading activities. It aims to provide a novel and practical framework for studying information asymmetry, belief heterogeneity and asset pricing, and apply the new approach to address a series of financial issues. The project will mak ....A New Approach to Information-Based Securities Trading. This project develops and tests a new approach to information-based securities trading, which can effectively describe trading dynamics and accurately measure the effects of information impounded in price and trading activities. It aims to provide a novel and practical framework for studying information asymmetry, belief heterogeneity and asset pricing, and apply the new approach to address a series of financial issues. The project will make significant contributions to finance research by shedding new insights on market dynamics and creating a new stream of models and modelling techniques. Academics, practitioners and regulators can use the new approach to better analyse the Australian financial market and improve its efficiency.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101014
Funder
Australian Research Council
Funding Amount
$349,785.00
Summary
Extending economic design to non-market settings: An experimental study of mechanism design with intention-based preferences. Mechanism design is the engineering side of economic theory, which starts with assumptions regarding human nature and builds economic systems to best maximise efficiency according to these assumptions. This project studies mechanism design in experimental settings where individuals exhibit a desire to be kind to those who have been kind to them and unkind to those who ha ....Extending economic design to non-market settings: An experimental study of mechanism design with intention-based preferences. Mechanism design is the engineering side of economic theory, which starts with assumptions regarding human nature and builds economic systems to best maximise efficiency according to these assumptions. This project studies mechanism design in experimental settings where individuals exhibit a desire to be kind to those who have been kind to them and unkind to those who have not. Such preferences are common in many non-market settings and can have dramatic effects on the efficiency of potential mechanisms. The ultimate goal of this project is to develop applied mechanisms that are robust to heterogeneity in such intention-based preferences and which can be used in bilateral exchange, contract design and many other non-market settings.Read moreRead less