User feedback has been a critical component of the Cornell Synthetic Data Server since its start, and the incorporation of user feedback into the synthetic data sets hosted on the Synthetic Data Server has contributed to their improvement. The NCRN Cornell node today released new documentation tools to assist users of the Synthetic Data Server [...]
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For a very nice write-up of the synthetic data products housed on our Synthetic Data Server, see Viviane Callier's article in The Atlantic, "How Fake Data Could Protect Real People’s Privacy." .pf-button.pf-button-excerpt { display: none; } After the migration earlier this summer to the new Synthetic Data Server cluster, and with the increasing size of the user communities of both the Synthetic LBD (SynLBD) and the SIPP Synthetic Beta (SSB), we also implemented a change in group memberships. .pf-button.pf-button-excerpt { display: none; [...] Lars Vilhuber and Javier Miranda (U.S. Census Bureau) discuss a new cross-national effort to generate synthetic business databases. For more details, see our session page. .pf-button.pf-button-excerpt { display: none; } We are pleased to announce the release of the SIPP Synthetic Beta, version 5.1 on the Synthetic Data Server at Cornell University. This version contains modeling improvements and new SIPP variables that expand the number of analyses that can be performed. .pf-button.pf-button-excerpt { display: none; [...] |
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