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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop (2022)

Chapter: Appendix B: Workshop Agenda

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Page 69 Cite
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Appendix B

Workshop Agenda

WEBINAR 1
APRIL 28, 2022
11:00 AM–4:00 PM ET

11:00 AM Welcome from the Forum on Mental Health and Substance Use Disorders

Benjamin Miller, PsyD

President, Well Being Trust

Planning Committee Co-Chair
11:05 AM Keynote

Vice Admiral Vivek Murthy, MD, MBA

United States Surgeon General

Department of Health and Human Services
11:10 AM Introduction

Gregory Simon, MD, MPH

Senior Investigator

Kaiser Permanente Washington Health Research Institute

Planning Committee Member
Page 70 Cite
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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SESSION 1

11:15 AM Population-Level Social Suicide Prediction Approaches

Moderator:

Lyle H. Ungar, PhD

Professor of Computer and Information Science

University of Pennsylvania

Speakers:

Mary Czerwinski, PhD

Research Manager, Human Understanding and Empathy Group

Microsoft Research

John Pestian, PhD, MBA

Director, Computational Medicine Center

Cincinnati Children’s Hospital

Mason Marks, MD, JD

Florida Bar Health Law Section Professor

Florida State University

Senior Fellow, Petrie-Flom Center

Harvard Law School
12:00 PM Panel Discussion and Audience Q&A
12:20 PM

Moderator:

Glen Coppersmith, PhD

Chief Data Officer, Sondermind

Planning Committee Member

Speakers:

Munmun De Choudhury, PhD

Associate Professor

Georgia Tech

Kenton White, PhD

Co-founder, Chief Scientist

Advanced Symbolics Inc.

Theresa Nguyen, MSW

Chief Program Officer

Vice President of Research and Innovation

Mental Health America
1:05 PM Panel Discussion and Audience Q&A
1:25 PM Break
Page 71 Cite
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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SESSION 2

2:10 PM Individual-Level Social Suicide Prediction Approaches

Moderators:

Patricia Areán, PhD

Professor

University of Washington

Planning Committee Member

Ayah Zirikly, PhD

Assistant Research Scientist, Center for Language and Speech Processing

Johns Hopkins University

Planning Committee Member

Speakers:

Tim Althoff, PhD

Assistant Professor

University of Washington

Elad Yom-Tov, PhD

Senior Principal Researcher

Microsoft Research Israel

Camille Nebeker, MS, EdD

Associate Professor

University of California, San Diego
3:10 PM Panel Discussion and Audience Q&A
3:45 PM Closing Remarks

Sean Joe, PhD

Benjamin E. Youngdahl Professor of Social Development

Washington University in St. Louis

Planning Committee Co-Chair
4:00 PM Adjourn
Page 72 Cite
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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WEBINAR 2
IDENTIFICATION AND ASSESSMENT
MAY 12, 2022
11:00 AM–4:00 PM ET

11:00 AM Welcome from the Forum on Mental Health and Substance Use Disorders

Benjamin Miller, PsyD

President

Well Being Trust

Planning Committee Co-Chair
11:10 AM Introduction

Gregory Simon, MD, MPH

Senior Investigator

Kaiser Permanente Washington Health Research Institute

Planning Committee Member
11:15 AM Panel Discussion

Moderator:

Colleen Carr, MPH

Director, National Action Alliance for Suicide Prevention

Planning Committee Member

Panelists:

Ursula Whiteside, PhD

Chief Executive Officer, NowMattersNow.org

Clinical Faculty, University of Washington

Adam Swanson, MPP

Senior Prevention Specialist, Suicide Prevention Resource Center

Education Development Center

Susie Reynolds Reece

Lived Experience Engagement Coordinator

Suicide Prevention Resource Center
Page 73 Cite
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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SESSION 1

12:00 PM Identifying Population-Level Responses: Risks and Strategies

Moderator:

Ayah Zirikly, PhD

Assistant Research Scientist, Center for Language and Speech Processing

Johns Hopkins University

Planning Committee Member

Speakers:

Daniel P. Evatt, PhD

Section Chief, Psychological Health Research

Psychological Health Center of Excellence

Research and Engineering

Defense Health Agency

Philip Resnik, PhD

Professor, Department of Linguistics and Institute for Advanced Computer Studies

University of Maryland

Holly Wilcox, PhD

Professor, Department of Mental Health

Johns Hopkins Bloomberg School of Public Health
1:00 PM Panel Discussion and Audience Q&A
1:30 PM Break

SESSION 2

2:00 PM Identifying Individual-Level Responses: Risks and Strategies

Moderator:

John McCarthy, PhD

Research Associate Professor

Director, Serious Mental Illness Treatment Resource and Evaluation Center

Department of Veterans Affairs (VA), Office of Mental Health and Suicide Prevention

Director, Data and Surveillance

Investigator, VA Center for Clinical Management Research

Planning Committee Member
Page 74 Cite
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Speakers:

Richard McKeon, PhD

Chief, Suicide Prevention Branch, Center for Mental Health Services

Substance Abuse and Mental Health Services Administration

John Franklin Sierra, PhD

Health Systems Engineer

Los Angeles County Department of Mental Health

Lisa Brenner, PhD

Professor, University of Colorado

Director, Rocky Mountain Mental Illness Research, Education, and Clinical Center

Vice Chair, Department of Physical Medicine and Rehabilitation

U.S. Department of Veterans Affairs
2:40 PM Panel Discussion and Audience Q&A

SESSION 3

3:00 PM Panel Discussion

Moderator:

Patricia Areán, PhD

Professor

University of Washington

Planning Committee Member

Panelists:

Jonathan Goldfinger, MD, MPH, FAAP

Former Chief Executive Officer

Didi Hirsch Mental Health Services

Kenton White, PhD

Co-Founder, Chief Scientist

Advanced Symbolics Inc.

Ursula Whiteside, PhD

Chief Executive Officer, NowMattersNow.org

Clinical Faculty, University of Washington
3:45 PM Closing Remarks

Sean Joe, PhD

Benjamin E. Youngdahl Professor of Social Development

Washington University in St. Louis

Planning Committee Co-Chair
Page 75 Cite
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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4:00 PM Adjourn

WEBINAR 3: OPPORTUNITIES FOR ACTION
JUNE 30, 2022
11:00 AM–4:00 PM ET

11:00 AM Welcome from the Forum on Mental Health and Substance Use Disorders

Benjamin Miller, PsyD

President, Well Being Trust

Planning Committee Co-Chair
11:10 AM Introduction

Gregory Simon, MD, MPH

Senior Investigator

Kaiser Permanente Washington Health Research Institute

Planning Committee Member

SESSION 1

11:15 AM Opportunities for Action: Researchers Perspective on Suicide Risk Assessment and Response

Moderator:

Gregory Simon, MD, MPH

Senior Investigator

Kaiser Permanente Washington Health Research Institute

Planning Committee Member

Speakers:
GenZ Perspectives on Mental Health: Questions to Drive Youth-Centric Technology Approaches

Jana Haritatos, PhD

Chief Science Officer, Hopelab
Overcoming Data Bias in Leveraging AI/ML Algorithms to Advance Suicide Risk Assessment and Response

Rayid Ghani, MS

Professor, School of Computer Science

Heinz College of Information Systems and Public Policy

Carnegie Mellon University
Page 76 Cite
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Data Requirements, Including Deidentified Population–Level Data, to Produce Real-Time or More Timely Information to Identify Individuals, Groups, Communities, and Populations at Risk for Suicide

Glen Coppersmith, PhD

Chief Data Officer, SonderMind

Planning Committee Member
12:00 PM Panel Discussion and Audience Q&A
12:30 PM Break

SESSION 2

1:00 PM Opportunities for Action: Industry Perspectives on Suicide Prevention Efforts and Collaborations

Moderator:

Jonathan Goldfinger, MD, MPH, FAAP

Former Chief Executive Officer,

Didi Hirsch Mental Health Services

Speakers:
Using Technology to Help Millions of At-Risk Individuals Online

Robert Morris, PhD

Co-founder, Koko
Leveraging Today’s Tech Business Models as Tools to Provide Valuable Insights for Suicide Interventions

Nick Allen, PhD

Co-founder and Chief Executive Officer, Ksana Health

Director, Center for Digital Mental Health

University of Oregon
Expert- and Partner-Informed Strategies to Improve Helpfulness to Users in Crisis

Megan Jones Bell, PsyD

Clinical Director, Consumer and Mental Health

Google
1:50 PM Panel Discussion and Audience Q&A
Page 77 Cite
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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SESSION 3

2:15 PM Opportunities for Action: Public Health Policies

Moderator:

Bart Andrews, PhD

Vice President, Clinical Practice/Evaluation

Behavioral Health Response

Speakers:
Opportunities for Public Health Policy to Enhance Effective Detection and Response to Suicide Risk

Colin Walsh, MD, MA, FAMIA

Associate Professor

Biomedical Informatics, Medicine, and Psychiatry

Vanderbilt University
Twenty-First Century Policy Solutions for Twenty-First Century Problems

Kacie Kelly, MS

Chief Innovation Officer

Meadows Mental Health Policy Institute
3:20 PM Panel Discussion and Audience Q&A
3:45 PM Closing Remarks

Sean Joe, PhD

Benjamin E. Youngdahl Professor of Social Development

Washington University in St. Louis

Planning Committee Co-Chair
4:00 PM Adjourn
Page 78 Cite
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26752.
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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop Get This Book
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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.

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