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Cornell University NCRN node
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The NCRN-Cornell node is a part of the NSF-Census Research Network, the first nodes of which were created and funded in 2011.
For more information, see http://www.ncrn.cornell.edu
Recent Submissions
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Outcomes report | Cornell Node of the NSF-Census Research Network
(2019-01-30)Description and List of Outcomes of the Cornell node of the NSF-Census Research Network. -
Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2018
(2018-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2018. -
Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2017
(2017-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2017. -
Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2016
(2016-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2016. -
Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2015
(2015-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2015. -
Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2014
(2014-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2014. -
Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2013
(2013-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2013. -
Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2012
(2012-10-15)Abstract: This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2012 -
An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices
(2018-08-15)Statistical agencies face a dual mandate to publish accurate statistics while protecting respondent privacy. Increasing privacy protection requires decreased accuracy. Recognizing this as a resource allocation problem, we ... -
Encoding Provenance Metadata for Social Science Datasets
(Springer, 2013)Recording provenance is a key requirement for data-centric scholarship, allowing researchers to evaluate the integrity of source data sets and re- produce, and thereby, validate results. Provenance has become even more ...
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