Discovery of novel microRNA biogenesis and functional components. Discovery of novel microRNA components will provide new strategies for confronting a diverse array of challenges Australia faces, such as the increasing rates of certain cancers in our population, to stresses on our crop plants faced with environmental changes. The biological mechanisms underlying these disparate problems are unified by microRNA involvement in many instances. By finding microRNA controlling factors common to all h ....Discovery of novel microRNA biogenesis and functional components. Discovery of novel microRNA components will provide new strategies for confronting a diverse array of challenges Australia faces, such as the increasing rates of certain cancers in our population, to stresses on our crop plants faced with environmental changes. The biological mechanisms underlying these disparate problems are unified by microRNA involvement in many instances. By finding microRNA controlling factors common to all higher organisms, we expect our community will benefit from the increased knowledge base that will help our researchers adopt new strategies in fighting diseases and improving our agricultural industry.Read moreRead less
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
Building on rural knowledges to unlock the potential of rural students. This project aims to advance understanding of the distinctive knowledges that rural students bring to school and develop teaching practices that build on these rural knowledges to unlock the potential of this significant student population. The project involves collaborating with rural primary schools, teachers, students and communities to identify rural knowledges, study classroom practices in detail, and develop sustainabl ....Building on rural knowledges to unlock the potential of rural students. This project aims to advance understanding of the distinctive knowledges that rural students bring to school and develop teaching practices that build on these rural knowledges to unlock the potential of this significant student population. The project involves collaborating with rural primary schools, teachers, students and communities to identify rural knowledges, study classroom practices in detail, and develop sustainable teaching practices that help students connect rural knowledges and school knowledge. Expected outcomes include a framework of place-based teaching practices and resources that will benefit rural schooling, teacher education, and the education of communities crucial to the nation’s future wealth and welfare.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
Life, living and livelihoods in satellite cities: new urban forms in India . This project aims to assess the success of satellite cities, conceived as possible solutions to the urgent challenge of rapid urban growth in today’s megacities. Through an ethnography of an Indian satellite city, Mahindra World City, this project aims to generate knowledge on new urban formations and the consequences of experiments in urban development for different socio-economic groups. Understanding the lived experi ....Life, living and livelihoods in satellite cities: new urban forms in India . This project aims to assess the success of satellite cities, conceived as possible solutions to the urgent challenge of rapid urban growth in today’s megacities. Through an ethnography of an Indian satellite city, Mahindra World City, this project aims to generate knowledge on new urban formations and the consequences of experiments in urban development for different socio-economic groups. Understanding the lived experiences of residents/workers in satellite cities aims to form a robust evidence base for research driven dialogue with policy makers, planners and developers. Lessons derived are expected to inform policy and practice as to how to achieve wellbeing for urban residents, while providing indications of Asia’s urban futures.Read moreRead less
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 novice drivers' speed and hazard management. The aim of the study is to extend the evidence-based approach we have developed for speed management (cognitive integration speed management training) to hazard management, thereby developing cognitive integration hazard management training for young drivers. Hence, this study is specifically designed to curb the alarming trend in young driver fatalities on Australian roads. The results of the research will provide clear direction to road au ....Improving novice drivers' speed and hazard management. The aim of the study is to extend the evidence-based approach we have developed for speed management (cognitive integration speed management training) to hazard management, thereby developing cognitive integration hazard management training for young drivers. Hence, this study is specifically designed to curb the alarming trend in young driver fatalities on Australian roads. The results of the research will provide clear direction to road authorities and driver training providers as to effective training strategies to improve young driver training, and ultimately improve road safety with this vulnerable population.Read moreRead less
A longitudinal study of the interaction of home and school language in three Aboriginal communities. The importance of language skills cannot be underestimated, and contribute to 'a healthy start to life'. In multilingual Indigenous communities, children must negotiate the complexities of different languages used for different purposes. This project will provide detailed insights into how children manage differences between home and school language, the kinds of problems they encounter when the ....A longitudinal study of the interaction of home and school language in three Aboriginal communities. The importance of language skills cannot be underestimated, and contribute to 'a healthy start to life'. In multilingual Indigenous communities, children must negotiate the complexities of different languages used for different purposes. This project will provide detailed insights into how children manage differences between home and school language, the kinds of problems they encounter when they enter the school system, and how their languages develop over the first four crucial years of school which provide the foundation for the children's future education. Their ability to manage the language of school underpins their ability to lead successful and engaged lives as adults. Read moreRead less
Social and geographical location and its impact on mathematics teaching and learning. Too many students from poor urban backgrounds or from rural communities are at risk of underperforming in school mathematics. This project identifies the critical factors that contribute to this failure and seeks to develop improved practices to enable greater access to school mathematics.
The Strategic Use of Election Violence. Roughly a quarter of national elections around the world are accompanied by the use of deadly violence. While the frequency of violence has remained almost constant for decades, researchers are only beginning to explore comparatively the myriad causes of election violence and what can be done to prevent it. Therefore, the proposed research focuses on answering two fundamental yet unanswered questions: why do various types of election violence occur, and wh ....The Strategic Use of Election Violence. Roughly a quarter of national elections around the world are accompanied by the use of deadly violence. While the frequency of violence has remained almost constant for decades, researchers are only beginning to explore comparatively the myriad causes of election violence and what can be done to prevent it. Therefore, the proposed research focuses on answering two fundamental yet unanswered questions: why do various types of election violence occur, and what interventions are most effective at preventing them? The research design centres on analysing data on specific election violence events (perpetrators, victims, and method) and data on election interventions to test hypotheses on underlying causes and effective interventions.Read moreRead less