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NORC at the University Chicago
Well-informed decisions increasingly depend on multiple data sources.

NORC has the deep and wide-ranging skill set necessary to integrate data from different sources, creating new data products that can be more useful than the sum of their parts. We integrate data through record linkage and data fusion, including statistical matching, and develop improved methods for supplementing our probability samples with records from other sources. We use small area modeling to improve estimation within small geographic areas or demographic domains by using additional data sources in conjunction with probability samples.

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Combining & Integrating Data Experts

Highlighted Projects

Linking Federal Health Data While Protecting Privacy

Proof that data sets can be combined without exchanging sensitive information

Client:

National Center for Health Statistics (NCHS)

AP VoteCast

More inclusive and accurate polling of the dynamics behind America’s elections

Client:

The Associated Press

Survey of Fishing, Hunting, and Wildlife-Associated Recreation

Streamlining, economizing, and increasing the reach of a venerable national survey

Client:

U.S. Fish and Wildlife Service, The Association of Fish & Wildlife Agencies