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NORC at the University Chicago

Zachary Seeskin

Pronouns: He/Him

Senior Statistician
Statistics & Data Science
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 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 serves on the American Association for Public Opinion Research’s Standards Committee.

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Expertise

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

Committee Member

AAPOR Transparency Initiative Coordinating Committee

Honors & Awards

Dissertation Fellow | 2016

U.S. Census Bureau

Project Contributions

2021 Study of Jewish Los Angeles

Understanding the Los Angeles Jewish community's identities, diversity, needs, and participation in the community

Client:

Jewish Federation of Greater Los Angeles

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

Research Library & Findings