Social practices of oral health in Australian preschool children. The aim of the study is to explore "social practices" of oral health in Australian (Aboriginal and non-Aboriginal) preschool children. We use this emerging theory to move away from focusing on individuals and individual behaviour (and blame) to identify and map social practices: actions, materials and meanings families attribute to
child’s oral health. Expected project outcomes include identifying practices promoting or underminin ....Social practices of oral health in Australian preschool children. The aim of the study is to explore "social practices" of oral health in Australian (Aboriginal and non-Aboriginal) preschool children. We use this emerging theory to move away from focusing on individuals and individual behaviour (and blame) to identify and map social practices: actions, materials and meanings families attribute to
child’s oral health. Expected project outcomes include identifying practices promoting or undermining children’s oral health that can inform upstream and downstream policy directions and practices to improve health outcomes. This offers a new approach to "wicked" problems such as oral health where extensive
effort has not reduced morbidity and cost despite rhetoric that oral health is preventable.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.Read moreRead less