Past Public Service Award Winners

The AAPOR Public Service Award award is intended to recognize and honor outstanding public service and dedication to maintaining AAPOR standards. It recognizes persons who work on behalf of the public sector and have contributed to the quality of government surveys, data systems, research, leadership, and/or policy.

 

Nomination details

2025 -Linda Young, US Department of Agriculture

The American Association for Public Opinion Research presents the 2025 AAPOR Service Award to Dr. Linda J. Young.

Dr. Young has National-level impact as Chief Mathematical Statistician and Director of Research and Development at USDA NASS. Her work influences all facets of U.S. agriculture statistics, affecting a vast range of stakeholders from farmers to policymakers, and is instrumental to our nation’s statistics on agriculture and agricultural production. Dr. Young has held various leadership positions within professional statistical societies, including serving as president of the Eastern North American Region of the International Biometric Society, vice-president of the American Statistical Association, chair of the Committee of Presidents of Statistical Societies, and member of the National Institute of Statistical Science’s Board of Directors. She is a fellow of the American Statistical Association, a fellow of the American Association for the Advancement of Science, and an elected member of the International Statistical Institute.

At USDA NASS, Dr. Young has championed several important initiatives, including “Imputation, Deterministic Edits, And Logic” or IDEAL, which automates the editing and imputation processes to improve the quality, consistency, and efficiency of survey data processing. This project centralizes editing systems, applies uniform standards, and integrates new algorithms to enhance processing efficiency and scalability through cloud-based systems. The IDEAL engine uses explicit data editing rules and imputation models to fill in missing or incorrect survey responses, ensuring that survey responses are valid, reliable, and internally consistent. This innovative approach significantly reduces manual labor and error-prone processes, leading to more accurate official statistics. The publication of IDEAL’s technical specifications aids in the promotion of survey data quality best practices.

2024 – Brian Harris-Kojetin, Senior Scholar- Committee on National Statistics

2023 – Stephen Blumberg, US Centers for Disease Control and Prevention (CDC)

2022 – Emilda B. Rivers

2021 – Dawn V. Nelson

2020 – Gordon Willis

2019 – Nancy Bates

2018 – Scott Fricker