Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results ....Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results will test the generality of principles that have been developed in studies of female mate choice and extend these ideas to address intra-sexual selection operating through opponent assessment.Read moreRead less
User-task co-adaptation for effective interactive simulation environments. This project aims to deliver smart interactive simulation environments in which users and simulation tasks work together. This project aims to create novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. Interactive simulation environments are the backbone for evaluating conc ....User-task co-adaptation for effective interactive simulation environments. This project aims to deliver smart interactive simulation environments in which users and simulation tasks work together. This project aims to create novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. Interactive simulation environments are the backbone for evaluating concepts, designs, products and advanced training systems in industry and government organisations. By bringing the user naturally inside the simulation as a task's component, users can improve their experience while task performance is simultaneously optimised. Intended outcomes include novel dynamic user-task profiling algorithms and new adaptive algorithms for user-task co-adaptation. Practical outcomes may include robust and highly effective simulation environments.Read moreRead less
Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learnin ....Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learning of the syntax and semantics of individual gestures and actions, nor the multi-gesture information fusion required for understanding, which could significantly enhance efficiency, for example, in sorting through named entities in an investigation. All of this is done naturally by most human beings, using biological neural networks.Read moreRead less
Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algori ....Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algorithms with the aim of designing algorithms better able to exploit prior knowledge, and to extend existing algorithms to new problem domains thus offering well principled and well understood algorithms for solving a variety of novel online problems.Read moreRead less
Development of methods and algorithms to support multidisciplinary optimisation. This project will aim to develop a number of novel and computationally efficient schemes to deal with the key challenges facing multidisciplinary optimisation. These advancements will allow us to solve a number of challenging and intractable problems in science and engineering.
Intercultural understanding in primary and secondary schools. What facilitates or impedes intercultural understanding in children, adolescents and schools? How can this be addressed? How can we know what makes a difference? This project answers these questions at the individual, school and national level using a novel cultural systems approach and methodological and technological innovations.
Kernel and Margin Based Machine Learning Algorithms. Certain machine learning algorithms, such as support vector machines, utilizing
the ideas of large margins and kernels have attracted much attention lately
because of their impressive performance on real world problems such as optical
character recognition. We plan to refine and extend such algorithms to a wide
range of different machine learning problems such as gene sequence analysis,
image processing and text classification. Expected ....Kernel and Margin Based Machine Learning Algorithms. Certain machine learning algorithms, such as support vector machines, utilizing
the ideas of large margins and kernels have attracted much attention lately
because of their impressive performance on real world problems such as optical
character recognition. We plan to refine and extend such algorithms to a wide
range of different machine learning problems such as gene sequence analysis,
image processing and text classification. Expected outcomes include the
development of software that allows the solution of hitherto unsolved machine
learning problems, and the ability to solve problems larger than those solvable
by the current generation of machine learning tools.Read moreRead less
Improving wellbeing through student participation at school. Current evidence suggests child and youth participation in matters affecting their lives has many benefits, but little is known about how this is perceived and practiced in education. This research aims to improve knowledge about processes and outcomes of student participation at school, particularly in relation to improving wellbeing. The project is timely and significant because recent reforms in education now require a greater empha ....Improving wellbeing through student participation at school. Current evidence suggests child and youth participation in matters affecting their lives has many benefits, but little is known about how this is perceived and practiced in education. This research aims to improve knowledge about processes and outcomes of student participation at school, particularly in relation to improving wellbeing. The project is timely and significant because recent reforms in education now require a greater emphasis on engaging students more directly in decisions about their education, including those with special needs. Schools urgently require knowledge about the key elements of participation that impact on wellbeing and a tool for measuring and monitoring their performance in facilitating these elements.Read moreRead less
A Transmission-Blocking Vaccine To Prevent Toxoplasmosis
Funder
National Health and Medical Research Council
Funding Amount
$850,225.00
Summary
Toxoplasma gondii causes a globally important zoonotic disease. It is transmitted by cats, and finds its way into our food chain via infected meat and contaminated water. We have used a unique functional genomics pipeline to discover proteins crucial for reproduction of Toxoplasma in the cat. We will now test combinations of these proteins to immunise cats and prove that we can develop a vaccine that blocks transmission of this highly significant parasitic disease.
More than a Roof Overhead: Meeting the Need for a Sustainable Housing System in Remote Indigenous Communities. Many Indigenous Australians live in substandard and over-crowded accommodation, and experience poor health, education, family stability and child-safety outcomes as a result. The lack of improvement in this situation is largely due to levels of funding and approaches to construction and management inadequate to the scale of the problem. This situation is changing and new funding and po ....More than a Roof Overhead: Meeting the Need for a Sustainable Housing System in Remote Indigenous Communities. Many Indigenous Australians live in substandard and over-crowded accommodation, and experience poor health, education, family stability and child-safety outcomes as a result. The lack of improvement in this situation is largely due to levels of funding and approaches to construction and management inadequate to the scale of the problem. This situation is changing and new funding and policies are being established. The researchers will work alongside housing providers and selected Indigenous communities in Western Australia and Northern Territory to develop procurement, construction and housing management practices that will meet the critical need for more affordable, appropriate and sustainable housing.Read moreRead less