Past Events

Jul 29 11:35am EDT

The 2017 Joint Statistical Meetings will take place July 29 - August 3, 2017 in Baltimore, MD. Researchers affiliated with NCRN nodes participate in the program, and this page lists a "virtual" program of sessions and activities with such participation. NCRN-affiliated researchers are bolded, speakers are in italics.

Sunday, July 30:

Apr 24

The NCRN Meeting Spring 2017 is the opportunity to learn about the research done within the NSF-Census Research Network.

LocationU.S. Census Bureau HQ

Monday, April 24, 2017

Register now on Eventbrite

Nov 29 3:30pm EST

Nancy Bates, Senior Researcher for Survey Methodology, U.S. Census Bureau, NCRN Coordinator at the U.S. Census Bureau, gives the 26th Annual Morris Hansen Lecture on "Hard-to-Survey Populations and the U.S. Decennial Census"

The  26th Annual Morris Hansen Lecture is sponsored by the Washington Statistical Society, Westat, and the National Agricultural Statistics Service.

A reception will follow the lecture at 5:30pm on the USDA Whitten Building Patio.

Discussants:

Brad Edwards, Vice President, Westat

Oct 24

The NCRN Meeting Fall 2016 is the opportunity to learn about the research done within the NSF-Census Research Network. Presentations by network researchers are open to the public. 

LocationU.S. Census Bureau HQ

Oct 21 1:30pm EDT

CNSTAT has announced the program of its Fall 2016 Public Seminar. The featured topic is "Taking Surveys to People’s Technology: Implications for Federal Statistics and Social Science Research" (Fred Conrad, Survey Research Center, University of Michigan, and Michael Schober, New School for Social Research). Please see the attached program for details and how to register.

Sep 21 12:00pm EDT

University of Maryland/Joint Program on Survey Methodology Seminar Series

Speaker: John M. Abowd, Director of the Labor Dynamics Institute, Associate Director for Research and Methodology and Chief Scientist, U.S. Census Bureau

Title: The Challenge of Scientific Reproducibility and Privacy Protection for Statistical Agencies

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