Pathways, policies and prevention: better outcomes for western Australian children. This project will provide new knowledge to inform and enable future policy and prevention strategies for improving child health and wellbeing. The collaboration between researchers and policy makers across 11 government departments will deliver a new evidence base for understanding child, family and community level factors that increase or reduce vulnerability to poor outcomes through the utilisation of cross-sec ....Pathways, policies and prevention: better outcomes for western Australian children. This project will provide new knowledge to inform and enable future policy and prevention strategies for improving child health and wellbeing. The collaboration between researchers and policy makers across 11 government departments will deliver a new evidence base for understanding child, family and community level factors that increase or reduce vulnerability to poor outcomes through the utilisation of cross-sectoral population data. This collaboration will inform whole of government intervention and prevention strategies to improve outcomes, as well as evaluate and monitor existing initiatives. This project will provide a model for population-based research and policy development both nationally and internationally.Read moreRead less
Structure Search Over Large Scale Heterogeneous Information Networks . Structure search on heterogeneous information networks (HINs) has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to develop novel techniques for efficiently conducting structure search on large scale HINs and lay the scientific foundations. The anticipated outcomes include novel computing paradigms, algorithms, indexing, incremental compu ....Structure Search Over Large Scale Heterogeneous Information Networks . Structure search on heterogeneous information networks (HINs) has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to develop novel techniques for efficiently conducting structure search on large scale HINs and lay the scientific foundations. The anticipated outcomes include novel computing paradigms, algorithms, indexing, incremental computation, and distributed solutions. The success of the project will directly contribute to the scientific foundation of Big Data computation. It will also contribute to the development of local industry involving cybersecurity, social media-based recommendation, network management, knowledge graphs, and E-business. Read moreRead less