{"id":11287,"date":"2026-03-03T20:47:49","date_gmt":"2026-03-03T20:47:49","guid":{"rendered":"https:\/\/dornsife.usc.edu\/cesr\/?page_id=11287"},"modified":"2026-03-30T22:32:02","modified_gmt":"2026-03-30T22:32:02","slug":"cipher-2026-presentations","status":"publish","type":"page","link":"https:\/\/dornsife.usc.edu\/cesr\/cipher-2026-presentations\/","title":{"rendered":"CIPHER 2026 | Presentations"},"content":{"rendered":"\n\n \n \n\n\n\n\n\n\n\n
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Below are links to CIPHER 2026 presentations (in PDF), associated papers, and recordings of presentations if available.<\/p>\n

 <\/p>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Presenter<\/strong><\/td>\nPresentation (PDF)<\/strong><\/td>\nLink to Recording or Papers<\/strong><\/td>\n<\/tr>\n
UAS Session A: Health, Time Use, and Survey-Based Evidence<\/strong><\/span><\/td>\n<\/tr>\n
Michael Sobolev<\/strong><\/span><\/td>\nReplicating Health Behavior Research using the Understanding America Study<\/td>\n<\/td>\n<\/tr>\n
Italo Lopez Garcia\u00a0<\/strong><\/span><\/td>\nJob Demands, Time Use, and Cognitive, Mental and Physical Health over the Lifecourse<\/a><\/td>\n<\/td>\n<\/tr>\n
Nana Xia<\/strong><\/span><\/td>\nMultimodal Prediction of Emotional Health: Linking Fitbit and PROMIS Sleep Data in the American Life in Realtime (ALiR) Study, A Nationally Representative Digital Health Benchmark<\/td>\n<\/td>\n<\/tr>\n
Grigory Franguridi<\/strong><\/span><\/td>\nEstimation and inference for panels with unrestricted attrition<\/a><\/td>\nPaper<\/a><\/td>\n<\/tr>\n
UAS Session B<\/strong><\/span><\/td>\n<\/tr>\n
Kyla Thomas<\/strong><\/span><\/td>\nAfter the Flames: Longitudinal Insights from the LABarometer Wildfire Study<\/td>\n<\/td>\n<\/tr>\n
Jiawen Liao<\/strong><\/span><\/td>\nAdverse Mental Health Impact of 2025 Los Angeles Wildfire Disaster: A Difference-in-Difference Analysis of the Understanding America Study<\/a><\/td>\n<\/td>\n<\/tr>\n
Lingzi Luo<\/strong><\/span><\/td>\nRecent Adverse Life Events, Mental Health, and Sources of Professional and Non-Professional Support Among U.S. Adults: Findings From the Understanding America Study<\/a><\/td>\nNA<\/td>\n<\/tr>\n
W\u00e4ndi Bruine de Bruin<\/strong><\/span><\/td>\nShould we change the term we use for \u201cbiodiversity loss\u201d? Evidence from a U.S.-wide terminology experiment<\/a><\/td>\n<\/td>\n<\/tr>\n
JoNell\u00a0Strough<\/strong><\/span><\/td>\nAging and Emotional Resilience to Extreme Weather: Testing Mechanisms Using the Understanding America Study<\/a><\/td>\n<\/td>\n<\/tr>\n
UAS Session C<\/strong><\/span><\/td>\n<\/tr>\n
Jeremy Burke<\/strong><\/span><\/td>\nIs Financial Knowledge Really Declining? Randomized Evidence on the Effects of Smartphone Responses<\/a><\/td>\n<\/td>\n<\/tr>\n
Vikesh Kumar<\/strong><\/span><\/td>\nU.S Households\u2019 Financial Well-being and Crypto Investment Decisions<\/td>\n<\/td>\n<\/tr>\n
Anthony Garove<\/strong><\/span><\/td>\nThe Effect of Requesting Financial Data Linkage on Survey Participation<\/td>\n<\/td>\n<\/tr>\n
Laila Tasneem Bera<\/strong><\/span><\/td>\nA Pervasive Threat: Analyzing UAS Survey Data on Frauds and Scams<\/a><\/td>\n<\/td>\n<\/tr>\n
Session 1: New Probability Panels and Innovations in Recruitment<\/strong><\/span><\/span><\/td>\n<\/tr>\n
Henning Silber<\/strong><\/span><\/td>\nCreating the M Panel: A New Probability-Based Online Panel of the General US Population<\/td>\n<\/td>\n<\/tr>\n
Ellyn Maese<\/strong><\/span><\/td>\nRecruiting Conservative Panel Members: What Works, What Doesn\u2019t, and What\u2019s the Trade-Off<\/td>\n<\/td>\n<\/tr>\n
Amie Rapaport<\/strong><\/span><\/td>\nUASTeen: Introducing the UAS’ new Teen Panel<\/a><\/td>\n<\/td>\n<\/tr>\n
Frank Kelly<\/strong><\/span><\/td>\nFive Dollars and a Click: Field Evidence on Digital Post-Incentives in an Address-Based Sample<\/a><\/td>\n<\/td>\n<\/tr>\n
Session 2:<\/strong> Novel Applications I<\/strong><\/span><\/td>\n<\/tr>\n
Laith Alattar<\/strong><\/span><\/td>\nUsing the UAS Comprehensive File to Evaluate Social Security Program Knowledge and Communication Preferences<\/a><\/td>\nNA<\/td>\n<\/tr>\n
Brittany Alexander<\/strong><\/span><\/td>\nMapping County-Level Religious Diversity: A Comprehensive Bayesian Approach to the 2023 Census of American Religion<\/a><\/td>\n<\/td>\n<\/tr>\n
Marcin Hitczenko<\/strong><\/span><\/td>\nUsing Survey Metadata to Identify Patterns in Satisficing<\/td>\n<\/td>\n<\/tr>\n
Kim P. Huynh<\/strong><\/span><\/td>\nWear am I in your wallet? Cash Holdings of Mobile Payment Users<\/a><\/td>\n<\/td>\n<\/tr>\n
Kathleen Mullen<\/strong><\/span><\/td>\nMeasuring Work Capacity<\/td>\n<\/td>\n<\/tr>\n
Session 3: Survey Attitudes, Participation, and Panel\u00a0<\/strong><\/span>Engagement\u00a0<\/b><\/span><\/td>\n<\/tr>\n
Megan A. Hendrich<\/strong><\/span><\/td>\nEarly Birds vs. the Full Flock: Representativeness of Probability Samples Across the Field Period<\/a><\/td>\n<\/td>\n<\/tr>\n
Emilio Rivera<\/strong><\/span><\/td>\nSustaining Engagement in a Probability-Based Panel: Early Evidence and Panelist Preferences for SMS Survey Reminders<\/a><\/td>\n<\/td>\n<\/tr>\n
Yongchao Ma<\/strong><\/span><\/td>\nSurvey Attitudes and Survey Participation \u2013 and Vice Versa<\/a><\/td>\n<\/td>\n<\/tr>\n
Alexandros Christos Gkotinakos<\/strong><\/span><\/td>\nOpting Out of Politics\u2014and the Panel? Civic Disengagement and Attrition in Probability-based Online Panels<\/td>\n<\/td>\n<\/tr>\n
Lunch Keynote<\/strong><\/span><\/td>\n<\/tr>\n
Trent D. Buskirk<\/strong><\/span><\/span><\/td>\nLet\u2019s Not Leave Probability Panels to Chance: Why AI Matters for Their Future
\n<\/strong>Designing Smarter, More Resilient Probability Panels for the AI Era<\/em><\/a><\/td>\n		Recording<\/a><\/td>\n<\/tr>\n
Session 4: Representativeness in Probability Panels<\/strong><\/span><\/td>\n<\/tr>\n
Jared Coopersmith<\/strong><\/span><\/td>\nEvaluating the representativity of KnowledgePanel<\/a><\/td>\n<\/td>\n<\/tr>\n
Lena Rembser<\/strong><\/span><\/td>\nWho do we not reach with online-only? Insights from a mixed-mode panel<\/a><\/td>\n<\/td>\n<\/tr>\n
Jon A. Krosnick<\/strong><\/span><\/td>\nAccuracy 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<\/td>\nNA<\/td>\n<\/tr>\n
Benjamin Phillips<\/strong><\/span><\/td>\nUsing knock-to-nudge methods for recruitment to a probability-based online panel: Findings from Australia<\/a><\/td>\n<\/td>\n<\/tr>\n
Session 5: Monitoring and Improving Data Quality in Probability Panels<\/strong><\/span><\/td>\n<\/tr>\n
Cristina Tudose<\/strong><\/span><\/td>\nNavigating data quality: Comparative insights from probability-based and opt-in online panels across Europe<\/a><\/td>\nNA<\/td>\n<\/tr>\n
Mickey Jackson<\/strong><\/span><\/td>\nWho fails data quality checks in probability panels? And what (if anything) should we do about it?<\/td>\n<\/td>\n<\/tr>\n
Stephen Raynes<\/strong><\/span><\/td>\nMonitoring Data Quality in Probability-Based Internet Panels<\/a><\/td>\n<\/td>\n<\/tr>\n
Joris Mulder<\/strong><\/span><\/td>\nFrom Surveys to Digital Traces: Insights from Data Donation Studies in the Dutch LISS panel<\/a><\/td>\n<\/td>\n<\/tr>\n
Session 6: Experimental Evidence on Recruitment for Probability Panels<\/strong><\/span><\/td>\n<\/tr>\n
Cameron McPhee <\/strong><\/span><\/p>\n

Kevin Collins<\/strong><\/span><\/td>\n

Using Texting to Pre-Paid Cells to Reach Underrepresented Populations<\/a><\/td>\n<\/td>\n<\/tr>\n
Ipek Bilgen<\/strong><\/span><\/td>\nIncorporating Text Messaging into Probability-Based Panel Recruitment: Experimental Insights on Response and Retention<\/a><\/td>\n<\/td>\n<\/tr>\n
Darby Steiger<\/strong><\/span><\/td>\nWill You Open the Envelope? Improving Recruitment Materials for a Probability-Based Panel<\/a><\/td>\n<\/td>\n<\/tr>\n
Tracy Keirns\u00a0<\/strong><\/span><\/td>\nText-to-Web Panel Recruitment: Demographic Differences in Panel Join Rates and Survey Completion Rates<\/a><\/td>\n<\/td>\n<\/tr>\n
Session 7: Novel Survey Designs, Linkages, and Emerging Data Sources<\/span>
\n<\/strong><\/td>\n<\/tr>\n
Jennifer Sinibaldi<\/strong><\/span><\/td>\nCan We Replace Employment Questions with Auxiliary Data from LinkedIn or Resum\u00e9s?<\/a><\/td>\n<\/td>\n<\/tr>\n
Joshua Claassen<\/strong><\/span><\/td>\nGoing beyond survey self-reports: Processing, enriching, and analyzing digital traces<\/a><\/td>\n<\/td>\n<\/tr>\n
Nick Bertoni<\/strong><\/span><\/td>\nThere\u2019s an app for that \u2013 lessons learned from building and implementing a mobile app for KnowledgePanel<\/a><\/td>\n<\/td>\n<\/tr>\n
Evan W. Sandlin<\/strong><\/span><\/td>\nUsing an Online Probability Panel to Collect Residential History<\/td>\n<\/td>\n<\/tr>\n
Session 8: Artificial Intelligence<\/strong><\/span><\/td>\n<\/tr>\n
Nicholas Biddle<\/strong><\/span><\/td>\nGenerative AI data donation – Who donates, how to increase it, and why it matters<\/td>\n<\/td>\n<\/tr>\n
Ting Yan<\/strong><\/span><\/td>\nLeveraging Artificial Intelligence to Code \u201cOther\/Specify\u201d Responses in Surveys<\/a><\/td>\n<\/td>\n<\/tr>\n
Jan Karem H\u00f6hne<\/strong><\/span><\/td>\nSurvey data contamination through Large Language Models: Predicting LLM-generated answers to open narrative questions<\/a><\/td>\n<\/td>\n<\/tr>\n
Andrew Parker<\/strong><\/span><\/td>\nCoding at Scale: Human-LLM Partnerships in Large-Sample Qualitative Research<\/a><\/td>\n<\/td>\n<\/tr>\n
Session 9: New Tools for Survey Data Access, Integration, Comparison, Analysis, and <\/strong><\/span>Visualization<\/b><\/span><\/td>\n<\/tr>\n
Andy Peytchev<\/strong><\/span><\/td>\nMultiple Imputation for Combining Probability-Based Web Panel and National Interviewer-Administered Survey Data with Content Overlap<\/a><\/td>\n<\/td>\n<\/tr>\n
Matthias Schonlau<\/strong><\/span><\/td>\nSnapshot plots: a visual summary of your data<\/a><\/td>\n<\/td>\n<\/tr>\n
Bas Weerman<\/strong><\/span><\/td>\nContext-Aware AI Search with UAS data and LLM<\/a>s<\/td>\n<\/td>\n<\/tr>\n
Paul Scanlon<\/strong><\/span><\/td>\nBeyond Response Rates: Comparing Data Quality Across Probability and Non-Probability Web Panels Using Measurement Invariance and Text Analysis Approaches<\/td>\n<\/td>\n<\/tr>\n
Marco Angrisani<\/strong><\/span><\/td>\nPublic Attitudes Toward Artificial Intelligence and Conversational Technologies: Evidence from the Understanding America Study<\/td>\n<\/td>\n<\/tr>\n
Lunch Keynote<\/strong><\/span><\/td>\n<\/tr>\n
Ben Gurga<\/strong><\/span><\/td>\nVirtual Assistants at Social Security<\/strong><\/td>\n<\/td>\n<\/tr>\n
Panel Discussion<\/span><\/strong><\/span><\/td>\n<\/tr>\n
Marcel Das <\/strong><\/span><\/p>\n

Trent Buskirk <\/strong><\/span><\/p>\n

Tom Emery <\/strong><\/span><\/p>\n

Sebastian Lundmark <\/strong><\/span><\/p>\n

Brady T. West<\/strong><\/span><\/td>\n

Next Generation Social Surveys: Innovations in Design, Data Linkage & Digital Tools<\/strong><\/a><\/td>\n<\/td>\n<\/tr>\n
Session 10:<\/strong> Data Quantity in the Age of AI<\/strong><\/span><\/td>\n<\/tr>\n
Arundati Dandapani<\/strong><\/span><\/td>\nSynthetic Data: Method or Mirage? AI Governance Trade-Offs in an Unstructured World<\/td>\n<\/td>\n<\/tr>\n
Frank Graves<\/strong><\/span><\/td>\nThe Polling Paradox: How Survey Methods Confront\u2014and Sometimes Fuel\u2014the Disinformation Crisis<\/td>\n<\/td>\n<\/tr>\n
Aleia Clarke Fobia<\/strong><\/span><\/td>\nFuture-Ready by Design: Government Data Quality Frameworks in an AI-Augmented World<\/td>\n<\/td>\n<\/tr>\n
Session 11: Novel Applications II<\/span>
\n<\/strong><\/td>\n<\/tr>\n
Ritika Chaturvedi <\/strong><\/span><\/p>\n

Tadeja Gracner<\/strong><\/span><\/td>\n

Describing lifecourse GLP-1\/GIP experience in the Understanding America Study, a nationally-representative population health study<\/td>\n<\/td>\n<\/tr>\n
Lisa Bondo Andersen<\/strong><\/span><\/td>\nFrom Cursor to Cognition: Clustering Respondent Styles with Neural Embeddings<\/a><\/td>\n<\/td>\n<\/tr>\n
Dan Cassino<\/strong><\/span><\/td>\n“Not the Man They Think I Am”: Gender Role Strain as a Predictor of Cognitive Decline<\/a><\/td>\n<\/td>\n<\/tr>\n
Yiwen Cao<\/strong><\/span><\/td>\nAssessing the Consequences of Caregiving for Individuals\u2019 Well-Being in a Representative Sample: A Longitudinal Analysis Using Survey and Wearable Data<\/a><\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

To go back to CIPHER 2026 website, click here<\/a>.<\/p>\n\n\n\n<\/div>\n\n\n <\/div><\/div>\n\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":208,"featured_media":7508,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-11287","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nCIPHER 2026 | Presentations - Center for Economic and Social Research<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dornsife.usc.edu\/cesr\/cipher-2026-presentations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CIPHER 2026 | Presentations - Center for Economic and Social Research\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dornsife.usc.edu\/cesr\/cipher-2026-presentations\/\" \/>\n<meta property=\"og:site_name\" content=\"Center for Economic and Social Research\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-30T22:32:02+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dornsife.usc.edu\/cesr\/wp-content\/uploads\/sites\/54\/2024\/08\/8DS_8573a.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1800\" \/>\n\t<meta property=\"og:image:height\" content=\"1200\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/dornsife.usc.edu\/cesr\/cipher-2026-presentations\/\",\"url\":\"https:\/\/dornsife.usc.edu\/cesr\/cipher-2026-presentations\/\",\"name\":\"CIPHER 2026 | Presentations - 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