The NSF-Census Research Network currently consists of eight nodes, each comprised of researchers conducting innovative, high-disciplinary investigations of theory, methodology and computational tools of interest and significance to the Census Bureau, the federal statistics system and the broader research community.

The eight nodes include Carnegie Mellon University, the University of Colorado at Boulder/University of Tennessee, Cornell University, Duke University/ National Institute of Statistical Sciences (NISS), the University of Michigan, the University of Missouri, the University of Nebraska and Northwestern University.

For more information, consult and

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Recent Submissions

  • 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.
  • The NSF-Census Research Network in 2016: Taking stock, looking forward 

    Vilhuber, Lars (2016-05-21)
    An overview of the activities of the NSF-Census Research Network as of 2016, given on Saturday, May 21, 2016, at a workshop on spatial and spatio-temporal design and analysis for official statistics, hosted by the ...
  • Confidentiality Protection and Physical Safeguards 

    Vilhuber, Lars (2017-02-09)
    Confidentiality protection is a multi-layered concept, involving statistical (cryptographic) methods and physical safeguards. When providing access to researchers (both internal to the agency and external academic), a ...
  • NCRN Meeting Fall 2011 

    Vilhuber, Lars (2011-12-19)
  • Proceedings from the 2016 NSF–Sloan Workshop on Practical Privacy 

    Vilhuber, Lars; Schmutte, Ian; Abowd, John M. (2017-01-22)
    On October 14, 2016, we hosted a workshop that brought together economists, survey statisticians, and computer scientists with expertise in the field of privacy preserving methods: Census Bureau staff working on implementing ...

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