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
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Item Outcomes report | Cornell Node of the NSF-Census Research NetworkVilhuber, Lars; Block, William (2019-01-30)Description and List of Outcomes of the Cornell node of the NSF-Census Research Network.Item Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2018Vilhuber, Lars; Block, William (2018-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2018.Item Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2017Vilhuber, Lars; Block, William (2017-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2017.Item Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2016Vilhuber, Lars; Block, William (2016-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2016.Item Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2015Abowd, John M.; Block, William; Vilhuber, Lars (2015-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2015.Item Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2014Abowd, John M.; Block, William; Li, Ping; Vilhuber, Lars (2014-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2014.Item Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2013Abowd, John M.; Block, William; Li, Ping; Vilhuber, Lars (2013-10-15)This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2013.Item Cornell Node of the NSF-Census Research Network - Annual Report to NSF for 2012Abowd, John M.; Block, William; Li, Ping; Vilhuber, Lars (2012-10-15)Abstract: This is the annual report by the Cornell node of the NSF-Census Research Network to NSF for 2012Item An Economic Analysis of Privacy Protection and Statistical Accuracy as Social ChoicesAbowd, John M.; Schmutte, Ian M. (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 propose an economic solution: operate where the marginal cost of increasing privacy equals the marginal benefit. Our model of production, from computer science, assumes data are published using an efficient differentially private algorithm. Optimal choice weighs the demand for accurate statistics against the demand for privacy. Examples from U.S. statistical programs show how our framework can guide decision-making. Further progress requires a better understanding of willingness-to-pay for privacy and statistical accuracy.Item Encoding Provenance Metadata for Social Science DatasetsLagoze, Carl; Williams, Jeremy; Vilhuber, Lars (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 critical in the web environment in which data from distributed sources and of varying integrity can be combined and derived. Recent work by the W3C on the PROV model provides the foundation for semantically-rich, interoperable, and web-compatible provenance metadata. We apply that model to complex, but characteristic, provenance examples of social science data, describe scenarios that make scholarly use of those provenance descriptions, and propose a manner for encoding this provenance metadata within the widely-used DDI metadata standard.