ILR School

Session 13: Synthetic Data Creation and Use

dc.contributor.authorVilhuber, Lars
dc.contributor.authorAbowd, John M.
dc.descriptionCopyright 2013 John M. Abowd and Lars Vilhuber with a big assist from Abigail Cooke, Javier Miranda, Martha Stinson, and Kelly Trageseren_US
dc.description.abstract“Understanding Social and Economic Data” (aka INFO7470) is designed to provide students a detailed overview of the US federal statistical system, where data comes from and how it can be used for research. The course also aims to teach students basic and advanced techniques for acquiring and transforming raw information into social and economic data. The course is taught as a mixture of self-guided online videos (MOOC-style) together with in-classroom discussions of the material. Students from multiple universities, scattered across the country and participating via videoconference, and from multiple domains (economics, demography, geography, statistics) contribute to the discussion.en_US
dc.description.sponsorshipThe development of the 2013 version of the course is sponsored by the National Science Foundation as part of the NSF-Census Research Network (NCRN), under grant #1131848 to the Cornell node, with additional support for network-wide dissemination through the NCRN coordinating grant #1237602, the office of the Kenneth F. Kahn Dean of the ILR School, and the Labor Dynamics Institute. Previous versions of this course also received funding from the National Science Foundation Information Technologies Research Program under grant SES #0427889en_US
dc.subjectSocial Dataen_US
dc.subjectEconomic Dataen_US
dc.titleSession 13: Synthetic Data Creation and Useen_US


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