NCRN Coordinating Office

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The NSF-Census Research Network Coordination Office (NCRN-CO) oversees the eight nodes of the NSF-Census Research Network (NCRN). For more information, see http://www.ncrn.info/about

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Recent Submissions

Now showing 1 - 10 of 22
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    Statistical Partnerships Among Academe, Industry & Government Committee (SPAIG) Award 2017
    American Statistical Association (2017)
    The National Science Foundation-Census Research Network (NCRN) For addressing methodological questions of interest to the federal statistical system and training future generations to design, conduct, analyze and report official statistics.
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    Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Improve the U.S. Statistical System?
    Weinberg, Daniel; Abowd, John M.; Belli, Robert F.; Cressie, Noel; Folch, David C.; Holan, Scott H.; Levenstein, Margaret C.; Olson, Kristen M.; Reiter, Jerome P.; Shapiro, Matthew D.; Smyth, Jolene; Soh, Leen-Kiat; Spencer, Bruce; Spielman, Seth E.; Vilhuber, Lars; Wikle, Christopher (2018-04-26)
    The National Science Foundation-Census Bureau Research Network (NCRN) was established in 2011 to create interdisciplinary research nodes on methodological questions of interest and significance to the broader research community and to the Federal Statistical System (FSS), particularly the Census Bureau. The activities to date have covered both fundamental and applied statistical research and have focused at least in part on the training of current and future generations of researchers in skills of relevance to surveys and alternative measurement of economic units, households, and persons. This paper discusses some of the key research findings of the eight nodes, organized into six topics: (1) Improving census and survey data collection methods; (2) Using alternative sources of data; (3) Protecting privacy and confidentiality by improving disclosure avoidance; (4) Using spatial and spatio-temporal statistical modeling to improve estimates; (5) Assessing data cost and quality tradeoffs; and (6) Combining information from multiple sources. It also reports on collaborations across nodes and with federal agencies, new software developed, and educational activities and outcomes. The paper concludes with an evaluation of the ability of the FSS to apply the NCRN’s research outcomes and suggests some next steps, as well as the implications of this research-network model for future federal government renewal initiatives.
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    NCRN Newsletter: Volume 3 - Issue 4
    Vilhuber, Lars; Knight-Ingram, Dory (2017-09-06)
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    NCRN Newsletter: Volume 3 - Issue 3
    Vilhuber, Lars; Knight-Ingram, Dory (2017-03-10)
    Overview of activities at NSF-Census Research Network nodes from December 2016 through February 2017.
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    NCRN Meeting Fall 2011
    Vilhuber, Lars (2011-12-19)
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    NCRN Newsletter: Volume 3 - Issue 2
    Vilhuber, Lars; Knight-Ingram, Dory (2016-12-23)
    Overview of activities at NSF-Census Research Network nodes from June 2016 through December 2016.
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    NCRN Meeting Spring 2016
    Vilhuber, Lars (2016-05-09)
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    NCRN Meeting Fall 2016
    Vilhuber, Lars (2016-10-24)
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    NCRN Meeting Fall 2012
    Vilhuber, Lars (2012-09-14)
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    NCRN Meeting Spring 2013
    Vilhuber, Lars (2013-05-16)