What we do
The NCRN-Cornell node conducts research into Metadata Standards and Tools and their application in the context of confidential data and metadata, High-Dimensional Computational Statistics and their applications in various contexts, and on the Confidentiality and Privacy of data releases by private and public entities. We also teach about Understanding Social and Economic Data to a broad audience through videoconference and (soon) a version of the class in the style of a Massive Open Online Course (MOOC), and we train graduate students and involve undergraduate researchers in our activities. We typically publish scientific articles, but we have also created online codebooks for a variety of datasets that can be viewed on a site that runs our own software (yes, we take our own medicine).
What we are
The NCRN-Cornell node is a part of the NSF-Census Research Network (NCRN), a “set of research nodes conducting interdisciplinary research and educational activities on methodological questions of interest and significance to the broader research community and to the Federal Statistical System, particularly the U.S. Bureau of the Census” [source]. Our activities are primarily funded by NSF Grant SES-1131848. Our staff come from the Cornell ILR School’s Labor Dynamics Institute, the Cornell Institute for Social and Economic Research, the School of Information at the University of Michigan, and Rutgers University. We are a virtual research group – you can’t knock on our door, but you can contact us in other ways.
Who we are
We are scientists and application specialists with backgrounds in economics, information science, statistics, and computer science. Many people contribute or have contributed to our project, you can find their information here.
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