Cognitive models of decision making in clinical populations. This cognitive science project aims to develop new methods for mathematical modelling of decision making, and to apply these methods to study decision making in people with problem drug use. Precise measures of the thought processes underlying decision making in drug users will help to direct efforts to prevent and treat drug problems.
Discovery Early Career Researcher Award - Grant ID: DE230100659
Funder
Australian Research Council
Funding Amount
$454,417.00
Summary
The prevalence and impact of digital alcohol exposure. This project aims to use artificial intelligence to quantify the amount of alcohol people are exposed to in digital media (e.g., social media, streaming videos) in their daily lives and the effect alcohol exposure has on alcohol use. Expected outcomes for this project include a quantification of the amount of alcohol exposure in digital media and the impact it has on drinking and a development of a protocol to test exposure. Significant bene ....The prevalence and impact of digital alcohol exposure. This project aims to use artificial intelligence to quantify the amount of alcohol people are exposed to in digital media (e.g., social media, streaming videos) in their daily lives and the effect alcohol exposure has on alcohol use. Expected outcomes for this project include a quantification of the amount of alcohol exposure in digital media and the impact it has on drinking and a development of a protocol to test exposure. Significant benefits are expected for policy makers aiming to reduce exposure and the public wanting to avoid exposure to limit the harm of alcohol.
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