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Zachary Seeskin

Senior Statistician
Zach is an expert in sample design, estimation, and data analysis for government and public interest surveys.

Zach is a senior statistician with NORC at the University of Chicago, where for nearly a decade he has worked 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, his 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 analysis and reporting for projects centered on data quality assessment and data integration, ranging from ASPE’s Big Data or Not initiative to data quality tool development for the National Center for Science and Engineering Statistics to a National Secure Data Service-Demonstration effort on using AI to enhance data quality and data integration.

Zach is the co-chair of the AAPOR Transparency Initiative and a team member for the American Statistical Association's Assessing the Health of the Federal Statistics Agencies project. Zach also serves on the AAPOR Standards Committee and AAPOR Code Review Committee. He taught in the Public Policy and Administration program of Northwestern University's School of Professional Studies.

Zach earned his PhD in Statistics from Northwestern University in 2016, where he served as a U.S. Census Bureau Dissertation Fellow.

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

Artificial Intelligence for Enhancing Data Quality, Standardization & Integration

Applying innovative data science methods to create datasets that support evidence-based decision-making

Client:

National Center for Science and Engineering Statistics

Family Self-Sufficiency Data Center

Promoting better use of data by state-based assistance programs

Client:

Office of Planning, Research & Evaluation (OPRE)

National Immunization Surveys (NIS)

One of the nation’s largest phone surveys and the gold standard for data on U.S. immunization rates

Client:

Centers for Disease Control and Prevention’s National Center for Immunization and Respiratory Diseases

The General Social Survey

The most rigorous, widely used data on the attitudes, opinions, and behaviors of the American public

Client:

The National Science Foundation

Publications