We have been exploring how artificial intelligence may enhance our ability to create high-quality data products.





United States Census Bureau [ [link removed] ]





Blog: Bridging Data Gaps: How Cross-Survey Modeling Enhances Census Bureau Measures [ [link removed] ]

"*Written by Chase Sawyer, Technical Lead for Modeled Data Product Development, Social, Economic, and Housing Statistics Division *"

The U.S. Census Bureau continuously strives to fulfill its mission to provide quality data about the nation’s people and economy.  

Recently, the agency has been exploring ways that artificial intelligence may enhance its ability to create high-quality data products in the face of declining survey response rates, which impact the cost and reliability of survey estimates. This effort has led to the use of machine learning techniques to create a new process that we refer to as cross-survey modeling. This process allows the Census Bureau to enhance the usefulness of federal data products by bridging the gaps between surveys. 

Cross-survey modeling involves taking data from a content-rich survey with fewer respondents and applying them to a survey or data source with broader geographic coverage, which allows for estimates at lower levels of geography.  

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About the Census Bureau

We serve as the nation’s leading provider of quality data about its people and economy. The Census Bureau is the federal government's largest statistical agency. As the world’s premier statistical agency, we are dedicated to making our nation a better place. Policy-makers, businesses, and the public use our data to make informed decisions.

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