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NORC at the University Chicago

Susan Paddock

Pronouns: She/Her

Executive Vice President & Chief Scientist
Research Science
Susan works to advance NORC’s capabilities in statistics, data science, and research methodology.

Susan is generally responsible for NORC’s methods of design and analysis. As a member of NORC’s Executive Council, Susan also works to advance NORC’s corporate research and development enterprise. She leads a division of statisticians, data scientists, and methodologists who advance NORC’s capabilities through cross-functional collaboration, efficient statistical operations, fit-for-purpose methodological research and development, and targeted business development.

Susan is an executive sponsor of several initiatives to advance NORC’s capabilities in areas of data and human subjects protection, data science and artificial intelligence, quantitative evaluation methods, and sampling. She is an executive statistical advisor to several projects, including AP VoteCast, General Social Survey, Survey of Doctoral Recipients, and several health care evaluations.

Susan has over 20 years of experience as a leader in statistical methods innovation and application to topics of societal and policy importance, including evaluation of behavioral health interventions; health services research; health care quality; Medicare payment policy; public opinion research; public policy; and veterans’ health care. She has conducted and published statistical research on several topics, including Bayesian methods, causal inference, longitudinal analysis, missing data methods, multilevel modeling, and study design for qualitative and quantitative research. Susan has over 120 peer-reviewed publications and has served on several journal editorial boards and on committees for the American Statistical Association (ASA) and the National Academies of Sciences, Engineering, and Medicine.

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Expertise

Education

PhD

Duke University

MS

Duke University

BS

University of Minnesota

Appointments & Affiliations

Member

American Statistical Association Committee on Data Science & Artificial Intelligence

Editor

Harvard Data Science Review

Honors & Awards

Article of the Year | 2020

Medical Care Research & Review

One of the Ten Most-Read Articles | 2015

Health Affairs

Fellow | 2013

American Statistical Association

Mid-career Award | 2013

Health Policy Statistics Section, American Statistical Association

Publications

Research Library & Findings