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The National Academies of Sciences, Engineering and Medicine
Committee on National Statistics
Division of Behavioral and Social Sciences and Education

Social Science Modeling for Big Data in the World of Machine Learning for the National Institute on Aging 
Project Description


The workshop will discuss how social science research on aging could best leverage big data and machine-learning techniques to enhance social research in aging.  Discussions at the workshop will include topics such as methodological issues with big data, statistical and operational challenges with use of big data and machine learning, the use of big data and machine learning to make casual inferences, techniques for addressing privacy concerns in using big data, and combining different sources of data to improve understanding of social processes and outcomes for the elderly.

Workshop | October 24-25, 2019
National Academy of Sciences Building, Room 125
2101 Constitution Ave., NW
Washington, DC 
Thursday, October 24: 9:30 AM - 5:00 PM 
Friday, October 25: 9:00 AM - 3:00 PM



Toward Standards for Machine Learning Research in Health Care and PolicySherri Rose, Harvard Medical School (planning committee member)

The Nightingale Project: Bridging computer science & medicine to transform healthcare- Katy Haynes, The Nightingale Project

Towards Personalizing Monitoring with Wearable Sensors- Bobak Mortazavi, Texas A&M University 


Staff Information

Michael Siri, Associate Program Officer
Jillian Kaufman, Senior Program Assistant 

National Institute on Aging


Committee Members
Harlan M. Krumholz, Co-Chair
Sendhil Mullainathan, Co-Chair
Hedwig Lee
Ziad Obermeyer
Sherri Rose
Sudeepa Roy


For more information, please contact: 

Jillian Kaufman

Mailing Address
Keck Center W1116
500 Fifth Street, NW 
Washington, DC 20001

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