Low Cost Smart Screening System For Sight Threatening Eye Disease: Diabetic Retinopathy
Funder
National Health and Medical Research Council
Funding Amount
$529,079.00
Summary
The aim of the project is to develop an automated disease grading and clinical decision support system for diabetic retinopathy (DR) to perform eye screening by primary care providers and nurses. The grading system will automatically extract DR pathology from a patient’s color fundus images by image processing, feature detection and machine learning algorithms. Based on the detected information, the system can classify the patient as non symptom or a specific disease level.
Improving The Synthesis Of Medical Research: The Evidence Synthesis Taxonomy Initiative
Funder
National Health and Medical Research Council
Funding Amount
$645,205.00
Summary
People who make decisions regarding the health of individuals or a society need trustworthy information to support these decisions, whether they be about the effectiveness of a strategy, the burden of a disease, the accuracy of a medical investigation or the preferences and values of a population. To produce trustworthy evidence, we need to collate and synthesise all of the information available. This work will improve the science behind evidence synthesis and the quality of evidence synthesis.
The mathematics and language of engineering uncertainty, preference and utility. Australian engineering firms are principals in many high-profile projects. To defend their position, they must demonstrate both sound engineering and quality processes, which by international standards includes the traceability of decisions. Yet, there are few tools to vet the multitude of decisions that go into large-scale engineering works. This project aims to form mathematical models of decision-making based on ....The mathematics and language of engineering uncertainty, preference and utility. Australian engineering firms are principals in many high-profile projects. To defend their position, they must demonstrate both sound engineering and quality processes, which by international standards includes the traceability of decisions. Yet, there are few tools to vet the multitude of decisions that go into large-scale engineering works. This project aims to form mathematical models of decision-making based on the language modelling of what is written in engineering documentation about the bases of decisions. The new methods will help decision makers to pinpoint irrationalities in decisions and notify them of possible errors. The research can therefore be applied to important problems in the engineering sector such as risk management.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100692
Funder
Australian Research Council
Funding Amount
$417,842.00
Summary
Stopping in the Real World: Cognitive Architectures for Selective Stopping. Response inhibition is the ability to stop actions that are in progress but become no longer appropriate, such as halting an order to launch a missile strike when a civilian vehicle is detected. The project focuses on people’s ability to either stop all planned actions or selectively stop some actions while allowing others to occur. The goal is to develop methodology to reliably measure the time it takes to stop actions, ....Stopping in the Real World: Cognitive Architectures for Selective Stopping. Response inhibition is the ability to stop actions that are in progress but become no longer appropriate, such as halting an order to launch a missile strike when a civilian vehicle is detected. The project focuses on people’s ability to either stop all planned actions or selectively stop some actions while allowing others to occur. The goal is to develop methodology to reliably measure the time it takes to stop actions, investigate the psychological mechanisms involved in stopping, and develop tools for defence-related personnel and job selection. The project provides significant benefits by enabling the study of how response inhibition ensures that appropriate actions occur and how failures of inhibition result in inappropriate actions. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101130
Funder
Australian Research Council
Funding Amount
$426,770.00
Summary
Beyond Response Time and Choice: Understanding Changes of Mind in Decisions. The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project is significant because it provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final resp ....Beyond Response Time and Choice: Understanding Changes of Mind in Decisions. The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project is significant because it provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final response that people make. The expected outcome is a comprehensive understanding of the human decision process through cognitive models that provide an accurate reflection of this mental process. The benefit is an improved understanding of decisions, which are a fundamental part of everyday human life.Read moreRead less
Exploration, Generalisation and the Development of Learning Traps. This project addresses three fundamental questions about human decision-making; 1) how does exploratory choice lead to “learning traps”, persistent patterns of poor decision-making that cause us to miss rewards and experience losses? 2) how does susceptibility to traps change with age? 3) what strategies prevent traps or facilitate escape? The project will advance our understanding of the cognitive processes underlying adult and ....Exploration, Generalisation and the Development of Learning Traps. This project addresses three fundamental questions about human decision-making; 1) how does exploratory choice lead to “learning traps”, persistent patterns of poor decision-making that cause us to miss rewards and experience losses? 2) how does susceptibility to traps change with age? 3) what strategies prevent traps or facilitate escape? The project will advance our understanding of the cognitive processes underlying adult and child decision-making, using innovative experimental paradigms and computational modeling. Expected outcomes include a novel computational model that explains developmental change in trap formation. The results will guide strategies for improved decision-making in educational, financial, and social settings.Read moreRead less
The value of time during decisions. This project aims to investigate how people value time during decision making. Using an innovative combination of carefully designed experiments and state-of-the-art mathematical cognitive models, this project expects to generate new knowledge regarding how efficiently people allocate time when making decisions, the factors that allow people to perform optimally and those that lead to suboptimal performance. The anticipated outcome of the project is a new fram ....The value of time during decisions. This project aims to investigate how people value time during decision making. Using an innovative combination of carefully designed experiments and state-of-the-art mathematical cognitive models, this project expects to generate new knowledge regarding how efficiently people allocate time when making decisions, the factors that allow people to perform optimally and those that lead to suboptimal performance. The anticipated outcome of the project is a new framework for understanding the optimality of human decision making. This outcome has the potential benefit of providing insight into decision mechanisms across a range of contexts, particularly ageing and models of applied decision making.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100177
Funder
Australian Research Council
Funding Amount
$365,000.00
Summary
Cognitive models of mental architectures in consumer preference. This project aims to characterise the mental architecture of consumer preference, the decision mechanisms and strategies that people use to select products or service options. It uses carefully designed experiments and cognitive modelling of mental architectures that capitalise on the information in the product decisions people make and the time taken to make them. The project provides insight into how people reason with and use in ....Cognitive models of mental architectures in consumer preference. This project aims to characterise the mental architecture of consumer preference, the decision mechanisms and strategies that people use to select products or service options. It uses carefully designed experiments and cognitive modelling of mental architectures that capitalise on the information in the product decisions people make and the time taken to make them. The project provides insight into how people reason with and use information to inform their decisions. This will help organisations to improve products and services and engage with consumers, to create competitive advantage, improve customer service and ultimately stimulate the economy.Read moreRead less
The Costs And Effectiveness Of New Anticancer Drugs
Funder
National Health and Medical Research Council
Funding Amount
$89,699.00
Summary
The general aim of this project is to assess new anticancer drugs and to determine what contributes to their cost, how well they work and their cost-effectiveness. Specific objectives include to systematically review recent evidence about the costs and cost-effectiveness of anticancer drugs, to perform cost-effectiveness analyses of expensive anticancer treatments based on data from clinical trials and to survey medical oncologists to determine their views on how treatment costs affect decision ....The general aim of this project is to assess new anticancer drugs and to determine what contributes to their cost, how well they work and their cost-effectiveness. Specific objectives include to systematically review recent evidence about the costs and cost-effectiveness of anticancer drugs, to perform cost-effectiveness analyses of expensive anticancer treatments based on data from clinical trials and to survey medical oncologists to determine their views on how treatment costs affect decision making.Read moreRead less