Social Science Modeling for Big Data in the World of Machine Learning: A Workshop

Workshop

October 24 - 25, 2019

Past

Agenda

About

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.

Contact

Jillian Kaufman

(202) 334-3465
jkaufman@nas.edu

Location

National Academy of Sciences Building

2101 Constitution Ave NW

Washington DC 20418, USA

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

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Social Science Modeling for Big Data in the World of Machine Learning: A Workshop

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Social Science Modeling for Big Data in the World of Machine Learning: A Workshop