2026 DC-AAPOR & WSS Review/Preview Conference
September 9 • Washington, D.C.
The DC chapter of the American Association for Public Opinion Research (DC-AAPOR) and the Washington Statistical Society (WSS) will host the 2026 Review/Preview Conference.
NORC is proud to be a Platinum Sponsor of the 2026 DC-AAPOR & WSS Review/Preview Conference, which brings together researchers, academics, and other professionals engaged in public opinion research and survey methodology.
Through discussion and debate on methodological, ethical, and substantive issues across a range of research topics, DC-AAPOR provides an important forum for exchanging ideas and advancing the field. As a longstanding contributor to the survey research, statistics, and public opinion research communities, NORC values opportunities to engage with practitioners from across government, academia, and the private sector.
At this year’s conference, NORC researchers will share new research and methodological innovations focused on advancing survey research and probability-based panels. Presentations will highlight NORC’s work applying artificial intelligence and machine learning, advancing probability-based panel methodology, and developing approaches to improve recruitment, retention, and data quality. Together, these presentations demonstrate NORC’s commitment to strengthening survey methods and exploring innovative approaches to meet the evolving needs of survey research.
Be sure to stop by our exhibit booth and attend our sessions!
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NORC Presentations at DC-AAPOR 2026
Some Recent Experiences with Machine Learning Techniques for Survey Nonresponse Adjustment
Noah Bassel, Senior Statistician, Statistics & Data Science
Examination of Mode and Device Preference Trends Over Time in a Probability-Based Research Panel
Ipek Bilgen, Principal Research Methodologist, Methodology & Quantitative Social Sciences, Director, Center for Panel Survey Sciences
The Role of Text Messaging in Enhancing Recruitment and Retention for Probability-Based Panels
Erlina Hendarwan, Director, Panel Operations, AmeriSpeak
Imputing Drop Points in Illinois: Evaluating a Schema-Based Approach Using Healthy Illinois 2024 Data
Kaitlin Johnson, Research Methodologist, Methodology & Quantitative Social Sciences
A Generative AI Approach for Integrating Synthetic Respondents with Probability-Based Human Panels
Brandon Sepulvado, Senior Research Methodologist, Methodology & Quantitative Social Sciences, Director, NORC Center on AI & Data Quality (AIDQ)
Can AI Conduct Expert Review of Survey Questions? Lessons from Using Large Language Models in Questionnaire Evaluation
Zoe Slowinski, Senior Research Methodologist, Methodology & Quantitative Social Sciences
