Skip to main content

Innovative Data Science Approaches to Assess Suicide Risk in Individuals, Populations, and Communities: Current Practices, Opportunities, and Risks: A Workshop

Completed

Select social media platforms have proactively deployed sophisticated artificial intelligence (AI)/machine learning (ML) algorithms to identify individual platform users at high risk for suicide, and in some cases may inform local law enforcement, if needed, to prevent imminent death by suicide. Emerging real-time data sources, together with innovative data science techniques and methods including AI/ML algorithms, can help inform upstream suicide prevention efforts at the individual, community, and population level. These innovative data sources can potentially enhance state and local capacity for upstream intervention, but may include unintended risks.

Subscribe to Email from the National Academies
Keep up with all of the activities, publications, and events by subscribing to free updates by email.