Report by the National Academies of Sciences, Engineering, and Medicine: “Emerging real-time data sources, together with innovative data science techniques and methods – including artificial intelligence and machine learning – can help inform upstream suicide prevention efforts. Select social media platforms have proactively deployed these methods to identify individual platform users at high risk for suicide, and in some cases may activate local law enforcement, if needed, to prevent imminent suicide. To explore the current scope of activities, benefits, and risks of leveraging innovative data science techniques to help inform upstream suicide prevention at the individual and population level, the Forum on Mental Health and Substance Use Disorders of the National Academies of Sciences, Engineering, and Medicine convened a virtual workshop series consisting of three webinars held on April 28, May 12, and June 30, 2022. This Proceedings highlights presentations and discussions from the workshop…(More)”
Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in you inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
DATA
A Global Relaunch of RD4C.org to Better Advance Responsible Data for Every Child, Everywhere
Posted in July 17, 2025 by Stefaan Verhulst
INSTITUTIONAL INNOVATION
Augmented foresight
Posted in July 17, 2025 by Stefaan Verhulst
artificial intelligence
A foundation model to predict and capture human cognition
Posted in July 17, 2025 by Stefaan Verhulst