Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database ....Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database search, by business analytics companies to reveal new technologies and potential collaborators, and by academic economists to understand how knowledge travels and accumulates.
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Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be ....Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be assessed. The effect of the statistical dependency of attribute values will be studied. New methods using clustering for blocking large datasets, and predictive models including interaction terms will be implemented, analysed and evaluated on high-performance computers and office-based PC clusters.
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Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less
Understanding the koala microbiome: unlocking the secrets of koala health and dietary specialisation, and successful husbandry and translocation. This project aims to discover how the composition and function of koala gastrointestinal microbial communities differ in space and time in response to the varying nutritional quality and chemical composition of koala diets. Using detailed chemical analysis, cutting edge metagenomic and bioinformatic pipelines and powerful approaches to study enzyme fun ....Understanding the koala microbiome: unlocking the secrets of koala health and dietary specialisation, and successful husbandry and translocation. This project aims to discover how the composition and function of koala gastrointestinal microbial communities differ in space and time in response to the varying nutritional quality and chemical composition of koala diets. Using detailed chemical analysis, cutting edge metagenomic and bioinformatic pipelines and powerful approaches to study enzyme functions in the koala’s gut, the investigators aims to reveal the role of microbes in detoxification of plant toxins and degradation of recalcitrant fibre fractions. The outcomes aim to facilitate the use of faecal transplants to improve digestive function for translocated and rehabilitated koalas, enhancing options for koala management and conservation.Read moreRead less
The endangered swift parrot as a model for managing small migratory birds. Endangered swift parrots use variable locations while breeding in eastern Tasmania and over winter on the Australian mainland. This project aims to develop effective conservation strategies for swift parrots and other migrants using new and long term data and innovative technological solutions to tracking small birds across vast landscapes.
Genetic rescue of Australian wildlife. Genetic rescue of Australian wildlife. This project aims to test genetic rescue as an efficient recovery technique for threatened plants and animals. Genetic rescue is under-utilised, even though it is overwhelmingly beneficial. This project will convert management actions on five Endangered/Critically Endangered species into rigorous experiments that measure the fitness benefits of genetic rescue, and demonstrate genome-wide consequences. Anticipated outco ....Genetic rescue of Australian wildlife. Genetic rescue of Australian wildlife. This project aims to test genetic rescue as an efficient recovery technique for threatened plants and animals. Genetic rescue is under-utilised, even though it is overwhelmingly beneficial. This project will convert management actions on five Endangered/Critically Endangered species into rigorous experiments that measure the fitness benefits of genetic rescue, and demonstrate genome-wide consequences. Anticipated outcomes include innovative genetic rescue protocols, a framework for genetic rescue, and leading-edge conservation training. Expected benefits are increased persistence of species that are otherwise unresponsive to management, and a new path to saving endangered species.Read moreRead less
Towards improving the yield of Canola and other Brassicas during drought. One of the major problems faced by world agriculture is drought; this project should improve the yield of Canola during moderate to severe droughts. Significantly, this project includes both "traditional" non-genetically modified (GM) strategies and GM strategies to maximise the market for our drought-tolerant canola both in Australia and overseas.
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.
Developmental engineering education in the primary school. Primary school students will learn about engineers and how engineering shapes our society. Students will develop important design processes in solving authentic, engineering-based problems. Their learning in the increasingly important science, technology, engineering, and mathematics (STEM) area will be enhanced, providing a foundation for addressing the increasing skills shortage in engineering.
Bringing back Australia's lost woodland biodiversity: towards strategic multi-species reintroductions. Australia has the highest rate of mammal extinction of any continent on the planet. This has reduced biodiversity and compromised many important ecological processes. What is the best way to re-build depauperate mammal communities with multi-species reintroductions? What effects do multi-species reintroductions have on recipient ecosystems? This project aims to explore these questions by reintr ....Bringing back Australia's lost woodland biodiversity: towards strategic multi-species reintroductions. Australia has the highest rate of mammal extinction of any continent on the planet. This has reduced biodiversity and compromised many important ecological processes. What is the best way to re-build depauperate mammal communities with multi-species reintroductions? What effects do multi-species reintroductions have on recipient ecosystems? This project aims to explore these questions by reintroducing three mammal species to a critically endangered temperate woodland: a carnivore (the eastern quoll), an insectivore (yellow-footed antechinus), and a herbivore (the eastern chestnut mouse). Results from this sequenced multi-species reintroduction experiment will have broad applicability to ecosystem restoration in Australia and overseas.Read moreRead less