AAPOR 81st Annual Conference Call for Abstracts

81st Annual AAPOR Conference

An LA Love Story of Data, Innovation, and the Quest for Truth  

May 13 – 15, 2026

Call for Papers, Posters, Panels, Roundtables, and Idea Groups

Submission Deadline: Sunday, November 16th, 2025 by 11:59pm EST

 

AAPOR 2026, “An LA Love Story of Data, Innovation, and the Quest for Truth”, is dedicated to reaffirming the critical role of public opinion and survey research in society. In an era of shifting perceptions and evolving methodologies, the conference will focus on connecting our work to the broader public, rebuilding trust in data, and ensuring that insights from polling and survey research remain an essential pillar in informed decision-making. 

AAPOR 2026 will open with a thought-provoking keynote that will set the stage for a dynamic panel discussion with key AAPOR experts, delving into the challenges and opportunities of restoring confidence, embracing change and innovation, and communicating and maintaining relevance. 

To foster deeper conversations on key issues, AAPOR 2026 will feature five themes, each focusing on a critical area that shapes our field. As part of the conference, each theme will include a special half-day deep dive of invited sessions. 

While many of these talks will be invited, there will be room for abstracts to be selected for deep dive sessions during the abstract review process by the program committee.

If you do not already have an account on AAPOR.org, you must create one to begin a submission. You do not need to be a member of AAPOR to create an account. The link to create an account can be found here. When prompted to log in, please click ‘Set Up an Account’ and follow the prompts.

Space on the program is limited. There will be some individual submissions that cannot be integrated into a session and will, unfortunately, not be accepted. Authors of individual papers have a greater chance of acceptance if they are also willing to be considered for a methodological brief or poster.

Inquiries: All questions should be sent to rgreen@aapor.org.

Instructions to Submit your Abstract:

Methodological Briefs

Papers

Posters

Roundtables

Presentation Tracks:

AI: Data Science, Machine Learning, and Big Data 
Example Topics:  applications of supervised and unsupervised learning in public opinion research; total survey error detection and mitigation in algorithmic models; integration of big data sources with traditional survey data; predictive modeling for nonresponse, respondent behavior, and survey outcomes; use of administrative and transactional data for population insights; ethical considerations in predictive modeling, including algorithmic fairness. 

AI: LLMs, NLP, and Generative AI
Example Topics:  using LLMs to generate and refine survey questions; NLP techniques for coding open-ended responses, sentiment analysis, and topic modeling; evaluating the accuracy of generative AI in summarizing qualitative data; ai-driven interviewing and chat-bot assisted data collection; generation and evaluation of synthetic survey responses; ethical and transparency concerns in AI-generated insights. 

Attitudes and Opinions
Example Topics: Use of survey research to explore public opinion across a wide range of substantive issues. This includes attitudes on social and civil rights (racial justice, immigration, LGBTQ+ rights), public policy, and major societal changes like climate change or public health issues. This theme also covers broader issues related to justice, diversity, inclusion, and equity.   

Data Collection Methods, Field Operations, and Costs
Example Topics:  innovations in contact strategies; operational challenges in longitudinal panel maintenance and respondent tracking; field staff training and supervision models; budgeting, cost modeling, and cost-benefit analysis for different survey designs; use of automation and digital tools in field operations 

Data Collection – Modes & Muti-Mode
Example Topics:  mode effects in mixed-mode survey designs; transitioning from interviewer-administered surveys to web-based surveys; device effects (mobile vs. desktop) on survey completion and data quality; sequential vs. concurrent mode deployment strategies; mode-specific nonresponse and measurement error; hybrid designs for hard-to-reach populations. 

Elections, Politics, and Media
Example Topics: voting behavior among diverse communities; drivers of vote preference; election poll methods; polling accuracy; voter files; exit polling; presidential approval. 

Multicultural, Multilingual, and Multinational Research
Example Topics: substantive findings from 3MC surveys; methodological issues in 3MC surveys. 

Probability and Nonprobability Samples, Frames, and Coverage Errors
Example Topics: sampling frames; sampling techniques; comparison of probability and nonprobability samples; administrative data coverage properties. 

Qualitative Research
Example Topics: methodological insights from or about qualitative research methods; in-depth interviewing methods; focus groups; qualitative content analyses; mixed methods data collection; qualitative research among diverse communities. 

Questionnaire Design and Interviewing
Example Topics: questionnaire design or formatting; visual design; interviewer effects; cognitive interviewing; response times; question characteristics. 

Research in Practice
Example Topics: data visualization; data security; writing successful RFPs; survey management; increasing the talent pipeline for public opinion research among diverse communities; other practical issues regarding survey data collection 

Response Rates and Nonresponse Error
Example Topics: Nonresponse rates; nonresponse error; nonresponse-related paradata; adaptive and responsive design; incentive experiments; differential response patterns among diverse communities. 

Statistical Techniques and Estimation
Example Topics: weighting and estimation; imputation; small-area estimation; Bayesian modeling; multi-level regression and post-stratification; variance 

AAPOR 2026 will feature five core themes, each anchored by a half-day Director’s Cut Session with extended invited talks designed to spark meaningful dialogue and cross-disciplinary insight: 

  1. Survey Methods & Data Science: Exploring how machine learning and predictive modeling can enhance traditional survey design for greater insight
  2. Probability & Nonprobability Sampling: Navigating trade-offs and hybrid strategies for data quality
  3. Large Language Models & Qualitative Methods: Balancing automation and human insight in qualitative research
  4. Representation and Dissemination: Leveraging Small domain estimation and cross-cultural research to ensure data reflects local contexts and lived experiences
  5. Polling, Official Statistics & Public Trust: Reinforcing the public value and accessibility of official datav

Please consider the following when submitting your abstract:

Scheduling Conflicts

To minimize scheduling conflicts, the abstract submission forms will ask you to list any known conflicts during the conference dates. While we make every attempt to accommodate the scheduling conflicts, please be advised that in some instances, it may not be possible to avoid them.  

Audio‐Visual Equipment

All meeting rooms will have projectors, screens, microphones, and laptops. The presenting author is responsible for bringing a digital copy of their presentation materials to the conference. 

Confirmation

Submitters will receive automatic email confirmations of their submissions within five minutes of final submission. Submitters who do not receive this confirmation should log back onto the submission site to verify their submission was entered correctly. The submitter is the primary contact person and is responsible for notifying all other authors/presenters of acceptance, rejection, scheduling, and any other relevant abstract information AAPOR provides.  

 

Review Process 

Each submission will be reviewed by at least two peer reviewers, and a final team of volunteers dubbed the Program Committee who assist the Conference Chair and Associate Conference Chair with making final decisions about abstracts for the specific presentation track and session format. We expect to send acceptance notifications mid-February 2026.  

AAPOR Code of Ethics

All submissions that present original survey data must abide by the AAPOR Code of Professional Ethics and Practices by reporting, at a minimum, the information specified in Section III‐A of the AAPOR Code. Further, proposals should communicate work that authors expect to reach an acceptable completion stage before the conference (e.g., by the end of April 2026).