Tracking language development of Indigenous children in Central Australia. This project aims to identify language development paths of Indigenous children in Central Australia by examining the spoken language, gesture and sign of children’s early interactions. It expects to generate new knowledge for the health and education sector, and Indigenous families, about children’s language development, enabling reliable identification of typical development. Expected outcomes include theoretical contri ....Tracking language development of Indigenous children in Central Australia. This project aims to identify language development paths of Indigenous children in Central Australia by examining the spoken language, gesture and sign of children’s early interactions. It expects to generate new knowledge for the health and education sector, and Indigenous families, about children’s language development, enabling reliable identification of typical development. Expected outcomes include theoretical contributions to language and cognition internationally and uptake of the findings by Australian health and education sector staff and Indigenous communities. This should provide significant benefits to Indigenous families through increased capacity of families and professionals to identify service needs in language development.Read moreRead less
Understanding human history in Asia through linguistic analysis. This project aims to advance understanding of Australia's position in Asia and stimulate the research culture in linguistics. New research methodologies will advance knowledge and improve Australia's research skill base. Sharing expertise will strengthen institutional ties between Australia and its neighbours.
Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expecte ....Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expected outcomes are algorithms for public and private sector data curators to dial up or down their data access arrangements based on privacy risks and fidelity demands linked with different data types and uses. This project intends to enable Australians to securely benefit from valuable data in decision making.Read moreRead less
Declarative Networks: Towards Robust and Explainable Deep Learning. The aim of this project is to develop declarative machine learning techniques that exploit inherent structure and models of the world. Deep learning has become the dominant approach for machine learning with many products and promises built on this technology. But deep learning is expensive, opaque, brittle and relies solely on human labelled data. This project intends to make deep learning more reliable by establishing theory a ....Declarative Networks: Towards Robust and Explainable Deep Learning. The aim of this project is to develop declarative machine learning techniques that exploit inherent structure and models of the world. Deep learning has become the dominant approach for machine learning with many products and promises built on this technology. But deep learning is expensive, opaque, brittle and relies solely on human labelled data. This project intends to make deep learning more reliable by establishing theory and algorithms that allow physical and mathematical models to be embedded within a deep learning framework, providing performance guarantees and interpretability. This would likely benefit machine learning based products that can understand the world and interact with humans naturally through vision and language.Read moreRead less
Optimisation for next generation machine learning. As more and more data are being collected, it is important to build intelligent systems which will can analyse these data efficiently. This project will take design and analyse new algorithms which take advantage of emerging paradigms in hardware such as multicore processors, graphic processing units (GPU), and cluster computers to achieve this goal.
Topological data analysis for enhanced modelling of the physical properties of complex micro-structured materials. The way water flows through sandstone depends on the connectivity of its pores, the balance of forces in a grain silo on the contacts between individual grains, and the impact resistance of metal foam in a car door on the arrangement of its cells. These structural properties are described mathematically by topology. Advanced three-dimensional X-ray imaging can now reveal the interna ....Topological data analysis for enhanced modelling of the physical properties of complex micro-structured materials. The way water flows through sandstone depends on the connectivity of its pores, the balance of forces in a grain silo on the contacts between individual grains, and the impact resistance of metal foam in a car door on the arrangement of its cells. These structural properties are described mathematically by topology. Advanced three-dimensional X-ray imaging can now reveal the internal detail of micro-structured materials. Recent developments in image analysis mean it is possible to compute accurate topological information from such images. This project aims to investigate how fundamental measures of shape influence the physical properties of complex materials and clarifies the mathematics that underpins these relationships.Read moreRead less
Understanding grassy woodlands as whole ecosystems. Restoring Australia's once vast grassy woodlands needs a sound understanding of the whole ecosystem and robust scientific evidence to inform conservation action. This project will generate such evidence by establishing a National Outdoor Laboratory to inform the sustainable management of our nation's precious remaining woodlands.
Religion, state and social inclusion: lessons from schools in three countries. Social inclusion is a priority for governments in Australia and overseas. Religious schools can be exclusionary, but can also provide safe havens for religious minorities. This project analyses a range of educational controversies in France, USA and Australia to propose programs and policies that enhance inclusion in religiously diverse societies.
Global Indigenous rights and local effect in Central Australia: tracing relations of power and locating potentialities. This ethnographic study investigates the practice of Indigenous rights in central Australia by exploring the apparently entrenched disjunctures between the declaration of rights and social fact. Working with Aboriginal people, government and non-government organisations will reveal how rights are understood and negotiated, thus locating new pathways for change.
Addressing time scarcity: feasible strategies for a healthy future. Lack of time is the main reason people say they don't exercise, take public transport or eat healthy food, and for many Australians (especially parents who combine working with raising children) time pressure is acute. This program of research will provide ways to reduce time barriers, to make healthy and sustainable living more feasible.