This project has ended.

The NCRN-Cornell node conducted 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 taught about Understanding Social and Economic Data to a broad audience through videoconference and in the style of a Massive Open Online Course (MOOC), and we trained graduate students and involved undergraduate researchers in our activities. We published scientific articles, created online codebooks for a variety of datasets that can be viewed on a site that runs our own software.

The NCRN-Cornell node was 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, with additional funding from a Sloan Grant. Our staff came 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.

A bibliography

• Consolidated and annotated bibliography of our publications.

Reports

Our annual reports to the National Science Foundation as well as our final Outcomes Report are available on this site and as preprints.

Further Information

• NCRN eprints at Cornell eCommons
• Archived NCRN presentations at Cornell eCommons
• NCRN Coordinating Office