Zachary Seeskin
Zach is a senior statistician with NORC at the University of Chicago, where he works on sample design, estimation, and data analysis for government and public interest surveys.
Zach contributes to weighting, total survey error analysis, small area estimation, imputation, and adaptive design for such surveys as the National Immunization Survey, the General Social Survey, the Survey of Doctorate Recipients, and Jewish community studies. Additionally, Zach’s expertise includes analyzing administrative data quality and combining data sources for evidence-building, topics on which he has published research in the Statistical Journal of the International Association of Official Statistics and the International Journal of Population Data Science. He has led development of tools to support researchers with evaluating data quality of non-survey data sources.
Zach further serves as an adjunct faculty member with Northwestern University's School of Professional Studies, teaching in the Public Policy and Administration program. He co-chairs the American Association for Public Opinion Research’s Transparency Initiative.
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Education
PhD
Northwestern University
MS
Northwestern University
BA
Brandeis University
Appointments & Affiliations
Instructor
Northwestern University, Master’s in Public Policy and Public Administration Program
Committee Member
AAPOR Standards Committee
Co-Chair
AAPOR Transparency Initiative Coordinating Committee
Honors & Awards
Dissertation Fellow | 2016
U.S. Census Bureau
Project Contributions
Publications
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"Error Profile for the 2023 NIS-Child"
Project Report | September 1, 2024
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"Error Profile for the 2023 NIS-Teen"
Project Report | August 1, 2024
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opens in new tab"A Data Quality Scorecard to Assess a Data Source’s Fitness for Use."
Journal Article | April 1, 2024
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opens in new tab"Estimating County-Level Vaccination Coverage Using Small Area Estimation with the National Immunization Survey-Child."
Journal Article | January 25, 2024
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opens in new tab“Error Profile for the 2022 NIS-Child.”
Journal Article | November 1, 2023
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opens in new tab“Error Profile for the 2022 NIS-Teen.”
Journal Article | August 1, 2023
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"Disclosure Standards for Social Media and Generative Artificial Intelligence Research: Toward Transparency and Replicability."
Journal Article | January 1, 2023
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"Address-Based Sampling for Socio-Demographic Studies of the U.S. Jewish Community"
Conference Proceeding | November 30, 2022