Feb 13: "Big Data for Statistical Agencies" (Cavan Capps, U.S. Census Bureau)

"Big Data for Statistical Agencies"
Speaker: Cavan Capps, Big Data Lead
Speaker Affiliation: United States Census Bureau
Host: MIT Libraries Program on Information Science

Data: Thursday, February 13, 2014
Time: 12:00-1:00 (talk) 1:00-1:30 (q&a)
Location: MIT 68-131

Abstract:

Big Data provides both challenges and opportunities for the official statistical community. The difficult issues of privacy, statistical reliability, and methodological transparency will need to be addressed in order to make full use of Big Data in the official statistical community. Improvements in statistical coverage at small geographies, new statistical measures, more timely data at perhaps lower costs are the potential opportunities. This talk will provide an overview of some of the research being done by the Census Bureau as it explores the use of "Big Data" for statistical agency purposes.

Speaker Bio:  <http://www.linkedin.com/pub/cavan-capps/12/201/523>

Cavan Capps <http://www.linkedin.com/pub/cavan-capps/12/201/523> is the U.S. Census Bureau's Lead on Big Data processing. In that role he is focusing on new Big Data sources for use in official statistics, best practice private sector processing techniques and software/hardware configurations that may be used to improve statistical processes and products. Previously, Mr. Capps initiated, designed and managed a multi-enterprise, fully distributed, statistical network called the DataWeb. The 'DataWeb' is a data library of networked statistical databases from all federal statistical data domains, with sophisticated visualization, descriptive analytics, data integration and dashboard construction tools. The DataWeb is the source of official API to Census data products.

Relevant URI: http://informatics.mit.edu/event/big-data-statistical-agencies

Information Science Brown Bag talks, hosted by the Program on Information Science, consists of regular discussions and brainstorming sessions on all aspects of information science and uses of information science and technology to assess and solve institutional, social and research problems. These are informal talks. Discussions are often inspired by real-world problems being faced by the lead discussant.