| Presenter |
Presentation (PDF) |
Link to Recording or Papers |
| UAS Session A: Health, Time Use, and Survey-Based Evidence |
| Michael Sobolev |
Replicating Health Behavior Research using the Understanding America Study |
|
| Italo Lopez Garcia |
Job Demands, Time Use, and Cognitive, Mental and Physical Health over the Lifecourse |
Recording |
| Nana Xia |
Multimodal Prediction of Emotional Health: Linking Fitbit and PROMIS Sleep Data in the American Life in Realtime (ALiR) Study, A Nationally Representative Digital Health Benchmark |
|
| Grigory Franguridi |
Generalized method of moments with incomplete data |
Paper |
| UAS Session B |
| Kyla Thomas |
After the Flames: Longitudinal Insights from the LABarometer Wildfire Study |
|
| Jiawen Liao |
Adverse Mental Health Impact of 2025 Los Angeles Wildfire Disaster: A Difference-in-Difference Analysis of the Understanding America Study |
Recording |
| Lingzi Luo |
Recent Adverse Life Events, Mental Health, and Sources of Professional and Non-Professional Support Among U.S. Adults: Findings From the Understanding America Study |
NA |
| Wändi Bruine de Bruin |
Should we change the term we use for “biodiversity loss”? Evidence from a U.S.-wide terminology experiment |
Recording |
| JoNell Strough |
Aging and Emotional Resilience to Extreme Weather: Testing Mechanisms Using the Understanding America Study |
Recording |
| UAS Session C |
| Jeremy Burke |
Is Financial Knowledge Really Declining? Randomized Evidence on the Effects of Smartphone Responses |
Recording |
| Vikesh Kumar |
U.S Households’ Financial Well-being and Crypto Investment Decisions |
|
| Anthony Garove |
The Effect of Requesting Financial Data Linkage on Survey Participation |
|
| Laila Tasneem Bera |
A Pervasive Threat: Analyzing UAS Survey Data on Frauds and Scams |
Recording |
| Session 1: New Probability Panels and Innovations in Recruitment |
| Henning Silber |
Creating the M Panel: A New Probability-Based Online Panel of the General US Population |
|
| Ellyn Maese |
Recruiting Conservative Panel Members: What Works, What Doesn’t, and What’s the Trade-Off |
|
| Amie Rapaport |
UASTeen: Introducing the UAS’ new Teen Panel |
Recording |
| Frank Kelly |
Five Dollars and a Click: Field Evidence on Digital Post-Incentives in an Address-Based Sample |
Recording |
| Session 2: Novel Applications I |
| Laith Alattar |
Using the UAS Comprehensive File to Evaluate Social Security Program Knowledge and Communication Preferences |
NA |
| Brittany Alexander |
Mapping County-Level Religious Diversity: A Comprehensive Bayesian Approach to the 2023 Census of American Religion |
Recording |
| Marcin Hitczenko |
Using Survey Metadata to Identify Patterns in Satisficing |
|
| Kim P. Huynh |
Wear am I in your wallet? Cash Holdings of Mobile Payment Users |
Recording |
| Kathleen Mullen |
Measuring Work Capacity |
|
| Session 3: Survey Attitudes, Participation, and Panel Engagement |
| Megan A. Hendrich |
Early Birds vs. the Full Flock: Representativeness of Probability Samples Across the Field Period |
Recording |
| Emilio Rivera |
Sustaining Engagement in a Probability-Based Panel: Early Evidence and Panelist Preferences for SMS Survey Reminders |
Recording |
| Yongchao Ma |
Survey Attitudes and Survey Participation – and Vice Versa |
Recording |
| Alexandros Christos Gkotinakos |
Opting Out of Politics—and the Panel? Civic Disengagement and Attrition in Probability-based Online Panels |
NA |
| Lunch Keynote |
| Trent D. Buskirk |
Let’s Not Leave Probability Panels to Chance: Why AI Matters for Their Future
Designing Smarter, More Resilient Probability Panels for the AI Era |
Recording |
| Session 4: Representativeness in Probability Panels |
| Jared Coopersmith |
Evaluating the representativity of KnowledgePanel |
Recording |
| Lena Rembser |
Who do we not reach with online-only? Insights from a mixed-mode panel |
Recording |
| Jon A. Krosnick |
Accuracy of 51 samples from non-probability online panels and river samples vs. RDD telephone. A reanalysis of data from the most recent Advertising Research Foundation study |
NA |
| Benjamin Phillips |
Using knock-to-nudge methods for recruitment to a probability-based online panel: Findings from Australia |
Recording |
| Session 5: Monitoring and Improving Data Quality in Probability Panels |
| Cristina Tudose |
Navigating data quality: Comparative insights from probability-based and opt-in online panels across Europe |
NA |
| Mickey Jackson |
Who fails data quality checks in probability panels? And what (if anything) should we do about it? |
|
| Stephen Raynes |
Monitoring Data Quality in Probability-Based Internet Panels |
Recording |
| Joris Mulder |
From Surveys to Digital Traces: Insights from Data Donation Studies in the Dutch LISS panel |
Recording |
| Session 6: Experimental Evidence on Recruitment for Probability Panels |
| Cameron McPhee
Kevin Collins |
Using Texting to Pre-Paid Cells to Reach Underrepresented Populations |
Recording |
| Ipek Bilgen |
Incorporating Text Messaging into Probability-Based Panel Recruitment: Experimental Insights on Response and Retention |
Recording |
| Darby Steiger |
Will You Open the Envelope? Improving Recruitment Materials for a Probability-Based Panel |
Recording |
| Tracy Keirns |
Text-to-Web Panel Recruitment: Demographic Differences in Panel Join Rates and Survey Completion Rates |
Recording |
Session 7: Novel Survey Designs, Linkages, and Emerging Data Sources
|
| Jennifer Sinibaldi |
Can We Replace Employment Questions with Auxiliary Data from LinkedIn or Resumés? |
Recording |
| Joshua Claassen |
Going beyond survey self-reports: Processing, enriching, and analyzing digital traces |
Recording |
| Nick Bertoni |
There’s an app for that – lessons learned from building and implementing a mobile app for KnowledgePanel |
Recording |
| Evan W. Sandlin |
Using an Online Probability Panel to Collect Residential History |
|
| Session 8: Artificial Intelligence |
| Nicholas Biddle |
Generative AI data donation – Who donates, how to increase it, and why it matters |
|
| Ting Yan |
Leveraging Artificial Intelligence to Code “Other/Specify” Responses in Surveys |
Recording |
| Jan Karem Höhne |
Survey data contamination through Large Language Models: Predicting LLM-generated answers to open narrative questions |
NA |
| Andrew Parker |
Coding at Scale: Human-LLM Partnerships in Large-Sample Qualitative Research |
Recording |
| Session 9: New Tools for Survey Data Access, Integration, Comparison, Analysis, and Visualization |
| Andy Peytchev |
Multiple Imputation for Combining Probability-Based Web Panel and National Interviewer-Administered Survey Data with Content Overlap |
Recording |
| Matthias Schonlau |
Snapshot plots: a visual summary of your data |
Recording |
| Bas Weerman |
Context-Aware AI Search with UAS data and LLMs |
NA |
| Paul Scanlon |
Beyond Response Rates: Comparing Data Quality Across Probability and Non-Probability Web Panels Using Measurement Invariance and Text Analysis Approaches |
|
| Marco Angrisani |
Public Attitudes Toward Artificial Intelligence and Conversational Technologies: Evidence from the Understanding America Study |
Recording |
| Lunch Keynote |
| Ben Gurga |
Virtual Assistants at Social Security |
NA |
| Panel Discussion |
| Marcel Das
Trent Buskirk
Tom Emery
Sebastian Lundmark
Brady T. West |
Next Generation Social Surveys: Innovations in Design, Data Linkage & Digital Tools |
Recording |
| Session 10: Data Quantity in the Age of AI |
| Arundati Dandapani |
Synthetic Data: Method or Mirage? AI Governance Trade-Offs in an Unstructured World |
Recording |
| Frank Graves |
The Polling Paradox: How Survey Methods Confront—and Sometimes Fuel—the Disinformation Crisis |
Recording |
| Aleia Clarke Fobia |
Future-Ready by Design: Government Data Quality Frameworks in an AI-Augmented World |
NA |
Session 11: Novel Applications II
|
| Ritika Chaturvedi
Tadeja Gracner |
Describing lifecourse GLP-1/GIP experience in the Understanding America Study, a nationally-representative population health study |
|
| Lisa Bondo Andersen |
From Cursor to Cognition: Clustering Respondent Styles with Neural Embeddings |
Recording |
| Dan Cassino |
“Not the Man They Think I Am”: Gender Role Strain as a Predictor of Cognitive Decline |
Recording |
| Yiwen Cao |
Assessing the Consequences of Caregiving for Individuals’ Well-Being in a Representative Sample: A Longitudinal Analysis Using Survey and Wearable Data |
Recording |
