[#DIV28SUPER] Fwd: Upcoming Workshop: Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide

Date: Thu, Jun 16, 2022, 11:01 PM
Subject: Fwd: Upcoming Workshop: Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide
To: ICE Carl Tishler <tishlerc@gmail.com>

Fyi.

---------- Forwarded message ---------
From: NASEM Health and Medicine <HMDnews-list@nas.edu>
Date: Thu, Jun 16, 2022, 3:01 PM
Subject: Upcoming Workshop: Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide
To:

Join the Forum on Mental Health and Substance Use Disorders on June 30. 

View this email in your browser Health and Medicine WEBINAR SERIES Using Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide – Webinar 3 June 30, 2022 | 11:00 AM – 4:00 PM ET The National Academies of Sciences, Engineering, and Medicine Forum on Mental Health and Substance Use Disorders is hosting a virtual workshop to explore the current scope of activities, opportunities, benefits and risks of leveraging artificial intelligence (AI) and machine learning (ML) algorithms to help inform upstream suicide prevention efforts at the individual and population level.  Webinar 3 on June 30, 2022 from 11:00 AM – 4:00 PM ET, will focus on risks, gaps, barriers, and opportunities for action and improvement of AI/ML algorithms used to assess suicide risk. Sessions will: Explore potential risks, unintended consequences, barriers, bias, and stigmas associated with leveraging AI/ML algorithms to identify individuals and populations at risk for suicide  Examine data science techniques and their effectiveness to assess suicide risk  Discuss opportunities for action  REGISTER NOW For more information on this workshop, please visit our website. Help Spread the Word! Share on Twitter: Save the date! Join @NASEM_Health on June 30 for a webinar exploring potential risks and unintended consequences associated with leveraging AI/ML algorithms to identify suicide risk. Register now: https://bit.ly/3FrLcnk FOLLOW US Copyright © 2022 National Academy of Sciences, All rights reserved. You are receiving this because you opted in to get emails from the Health and Medicine Division. Our mailing address is: National Academy of Sciences 500 Fifth Street NW Washington, DC 20001 Add us to your address book Want to change how you receive these emails? You can update your preferences or unsubscribe from this list.

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