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|Inaugural American Statistical Association |
| November 5, 2018|
|Keck Center, Room 100|
500 5th Street, NW, Washington, DC
|The lecturer will be Dr. Frauke Kreuter, Director of the Joint Program in Survey Methodology of the University of Maryland, College Park. Her lecture is entitled “Linking Survey and Data Science: Aspects of Privacy”. An abstract of the lecture is given below.|
Barry Johnson, Director of the Statistics of Income Division of the IRS will serve as the “Connector”, relating points in Dr. Kreuter’s lecture to the work of people engaged in official statistics.
|About the Lecture Series|
The Links Lecture Award was created to honor the contributions of Constance Citro, Robert Groves, and Fritz Scheuren and to contribute to advancement of work in official statistics through the statistical use of administrative records and alternative data sources, record linkage, statistical methods for creating blended estimates, and issues associated with these activities such as privacy, confidentiality, researcher access, and reproducibility of results.
The recent reports of the Commission on Evidenced-Based Policymaking and the National Academy of Science Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods emphasize the need to make greater use of data from administrative and other processes. The promise of such data sources is great, and even more so if multiple data sources are linked in an effort to overcome the shortage of relevant information in each individual source. However, looking at countries in which administrative data have been accessible for longer, or the tech industry in which process data are used extensively for decision making, we see that process data are often insufficient to answer relevant questions or to ensure proper measurement. This creates a desire to augment process data and administrative data with surveys. This talk will focus on two practical aspects resulting from this situation: the enormous challenge in ensuring privacy, and the need to cross-train computers scientists, statisticians, and survey methodologists.
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