Discovery Early Career Researcher Award - Grant ID: DE190100329
Funder
Australian Research Council
Funding Amount
$361,357.00
Summary
Adult drinking and child maltreatment in families, communities and societies. This project aims to measure how adult drinking is linked to child maltreatment within families, communities and societies. The project will use data from 20 countries, including Australia, and expects to develop new knowledge about links between adult drinking, fathering, community-level alcohol availability, societal drinking patterns and harms to children. Expected outcomes include national and cross-national policy ....Adult drinking and child maltreatment in families, communities and societies. This project aims to measure how adult drinking is linked to child maltreatment within families, communities and societies. The project will use data from 20 countries, including Australia, and expects to develop new knowledge about links between adult drinking, fathering, community-level alcohol availability, societal drinking patterns and harms to children. Expected outcomes include national and cross-national policy-relevant data and analysis that will inform prevention of alcohol-related child maltreatment and alcohol policy globally. This project should support reductions in the economic and human costs of alcohol-related child abuse and neglect for children, families and societies.Read moreRead less
Using AI to reveal the true extent & context of alcohol exposure in videos. This project aims to extend an artificial intelligence algorithm to automatically identify and quantify alcohol prevalence in videos. The project is expected to generate significant new knowledge about alcohol’s exposure in these videos’ social, emotional, and environmental contexts. The expected outcomes include a more efficient and automated method of revealing alcohol pervasiveness and its context in the 1000 most wat ....Using AI to reveal the true extent & context of alcohol exposure in videos. This project aims to extend an artificial intelligence algorithm to automatically identify and quantify alcohol prevalence in videos. The project is expected to generate significant new knowledge about alcohol’s exposure in these videos’ social, emotional, and environmental contexts. The expected outcomes include a more efficient and automated method of revealing alcohol pervasiveness and its context in the 1000 most watched videos in Australia, making costly manual coding redundant. Anticipated benefits include enabling governments to better monitor compliance to alcohol product placement guidelines and increased public awareness of the frequency and harmful effects of being exposed to alcohol in videos.Read moreRead less