[ { "id":"117253-21865848", "datetime_modified":"20250513T122307", "datetime_start":"20250916T093000", "datetime_end":"20250916T110000", "has_end_time":1, "date_start":"2025-09-16", "date_end":"2025-09-16", "time_start":"09:30:00", "time_end":"11:00:00", "time_zone":"America\/Detroit", "event_title":"CoderSpaces - Tuesdays", "occurrence_title":"", "combined_title":"CoderSpaces - Tuesdays: weekly data science hubs", "event_subtitle":"weekly data science hubs", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? 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We investigate the role of money in politics in maintaining age inequality in political influence and office-holding. Using record linkage, we create a novel dataset that combines administrative data on the age of voters, donors, and candidates. Descriptively, we find that the median dollar in the U.S. campaign finance system comes from a 66-year-old donor\u2014significantly older than the median voter, candidate, or elected official\u2014and that older donors are much more ideologically conservative than younger donors. We then investigate whether candidate age matters to donors. Results from within-district and within-donor analyses suggest that individuals are more likely to donate and donate more to candidates closer to their age. 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Then we might have just the right space for you.\r\n\r\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\r\n\r\nTuesdays, 9:30-11 a.m. ET, via Zoom (Meeting ID:94181215786)\r\nWednesdays, 1:30-3 p.m. ET, via Zoom (Meeting ID: 98659357324)", "occurrence_notes":null, "guid":"117253-21865849@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/117253", "building_id":"", "building_name":"", "building_official_id":"", "campus_maps_id":"", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":null, "has_livestream":0, "cost":"", "tags":["Data"], "website":"", "links":[ ], "sponsors":[ { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"", "image_description":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/117253\/qrcode.png", "occurrence_count":53, "first_occurrence":21865812 } , { "id":"139387-21885376", "datetime_modified":"20250916T171246", "datetime_start":"20250923T160000", "datetime_end":"20250923T173000", "has_end_time":1, "date_start":"2025-09-23", "date_end":"2025-09-23", "time_start":"16:00:00", "time_end":"17:30:00", "time_zone":"America\/Detroit", "event_title":"Data and the Federal Government: A Conversation with Erie\u00a0Meyer", "occurrence_title":"", "combined_title":"Data and the Federal Government: A Conversation with Erie\u00a0Meyer: Senior Fellow, Vanderbilt Policy Accelerator and the Georgetown\u00a0Institute for Tech and Society", "event_subtitle":"Senior Fellow, Vanderbilt Policy Accelerator and the Georgetown\u00a0Institute for Tech and Society", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"In this talk and meet-and-greet,\u00a0Erie\u00a0Meyer will be discussing the role of data in the Federal Government. She will\u00a0be sharing insights from her own career: as the chief technologist at the Consumer Financial Protection Bureau (CFPB) and the Federal Trade Commission (FTC), and as co-founder of the United States Digital Service (USDS, now renamed \"DOGE'\"). This event will be open to the UM community, including faculty,\u00a0students, and postdocs.\r\n\r\nBiography\r\n\r\nErie Meyer is a Senior Fellow at the Vanderbilt Policy Accelerator and the Georgetown\u00a0Institute for Tech and Society where she focuses on the intersection of technology, artificial intelligence, and regulation. She has spent her career modernizing government services and working to enforce the law against corporate repeat offenders. \r\n\r\nMost recently, she served as Chief Technologist and Senior Advisor to the Director of the Consumer Financial Protection Bureau (CFPB), where she helped lead efforts to address Big Tech\u2019s lurch into financial services, and was part of the original team that launched the agency. There, she helped set up the consumer complaint system and release open data. Before returning to the CFPB, Ms. Meyer served as Chief Technologist and Director of Policy Planning for FTC Chair Lina Khan, and was Technology Advisor to then-Commissioner Rohit Chopra. \r\n\r\nShe also co-founded and wrote the first line of code at the U.S. Digital Service at the White House. Earlier, she was a Senior Advisor to the U.S. Chief Technology Officer in the White House, a Senior Director at Code for America, and a Shorenstein Fellow at Harvard Kennedy School. Ms. Meyer began her public service in the Ohio Attorney General\u2019s Office during the financial crisis, building open-source tools to help protect Ohioans' consumer rights. She holds a B.A. in journalism and government from American University and is a contributor to open source software. 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This presentation will review the essential components of this quality profile identified by the committee, giving background on each and discussing the feasibility of producing these components for individual SRC projects and programs. The committee aims to use this presentation to invite a broader set of feedback from SRC faculty, staff, and affiliates on these components, as part of a dedicated effort to move toward the standardized preparation and dissemination of these quality profiles for all SRC data collection projects.\r\n\r\nBrady T. West is a Research Professor in the Survey Methodology Program and the Department of Biostatistics. His current research interests include selection bias in surveys, the implications of measurement error in auxiliary variables and survey paradata for survey estimation, responsive and\/or adaptive survey design, interviewer effects, and multilevel regression models for clustered and longitudinal data. An author of more than 230 peer-reviewed journal articles in survey methodology, applied statistics, and public health, he is also the lead author of two books that are now in their third editions, one of which compares different statistical software packages in terms of their mixed-effects modeling procedures (Linear Mixed Models: A Practical Guide using Statistical Software, Third Edition, Chapman Hall\/CRC Press, 2022), and a second titled Applied Survey Data Analysis, Third Edition (with Steven Heeringa and Pat Berglund) that provides a comprehensive overview of practical analysis strategies for data arising from complex sample surveys. He was elected as a Fellow of the American Statistical Association in 2022.\r\n\r\nJames Wagner is a Research Professor in the Survey Methodology Program. He has worked on surveys for over 25 years and has extensive experience with sample design. In addition to sample design, Wagner\u2019s research interests include adaptive survey design to address potential nonresponse biases and indicators of survey data quality. 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Balancing Theory with Practice: How to Develop Successful Industry Research Practitioners", "occurrence_title":"", "combined_title":"MPSDS JPSM Seminar Series - Balancing Theory with Practice: How to Develop Successful Industry Research Practitioners: Curtiss Cobb - Vice President of Research at Meta, Demography and Survey Science Team", "event_subtitle":"Curtiss Cobb - Vice President of Research at Meta, Demography and Survey Science Team", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"MPSDS JPSM Seminar Series\r\nMPSDS M3 Series\r\n\r\nIn person, room 1070, Institute for Social Research and via Zoom.\r\nThe Zoom call will be locked 10 minutes after the start of the presentation. \r\n\r\nWhile industry researchers need practical skills, survey training often involves a balance of theory and practice. Training that focuses too heavily on practical applications may skip over foundational concepts, such as sampling theory, error reduction, or bias minimization. Without these foundations, researchers might design surveys that overlook important methodological considerations, potentially compromising data quality in ways that negatively affect insights and decision-making. At the same time, strong training programs often teach sophisticated survey methods (e.g., stratified sampling, regression analysis, psychometric scaling) that are used in academic or governmental research, but are impractical or overly complex in most industry contexts without adaptation to the time and cost constraints often present. A middle ground of training is often missing--one that trains researchers on how to adapt or simplify these more complex methodologies for practical use in the real world and how to make them accessible without sacrificing quality. The presenter will discuss the holes often seen in hiring trained survey researchers and the complimentary development that is necessary to bring them up to speed to be successful industry practitioners.\r\n\r\nCurtiss Cobb is a Vice President of Research at Meta where he leads the Demography and Survey Science Team, a quantitative focused research team that works across Meta to identify and share best practices and methodological innovations in demographic and survey research. His team oversees the collection of millions of survey responses a day from around the world using mobile, web, face-to-face and other methods. Prior to Meta, Curtiss was a senior director of survey methodology at GfK and has independently served on advisory panels or consulted for the U.S. State Department, CDC, Associated Press, World Health Organization, OECD and various academic studies. He holds a PhD in Sociology from Stanford University.", "occurrence_notes":"Onsite in room 1070, Institute for Social Research, and via Zoom.", "guid":"139374-21885347@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/139374", "building_id":"1000145", "building_name":"Institute For Social Research", "building_official_id":1000145, "campus_maps_id":"76", "campus_maps_link_path":"institute-for-social-research", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/institute-for-social-research", "room":"Room 1070, Institute for Social Research", "location_name":"Institute For Social Research", "has_livestream":1, "livestream_type":"zoom", "livetream_require_login":0, "livestream_id":"94043639579", "livestream_password":"2526", "livestream_link":"https:\/\/umich.zoom.us\/j\/94043639579", "cost":"", "tags":["Data"], 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It emphasizes the growing need to make complex datasets not just accessible, but meaningful, especially in academic and research settings. Using real-world examples and design frameworks, the session outlines how intentional UX design can elevate dashboards, reports, and research tools. The goal? To empower UofM teams to turn raw data into actionable insights that actually drive decisions.\r\n\r\nChip LaFleur Bio:\r\nChip LaFleur is the founder and CEO of LaFleur Marketing, a digital agency specializing in data-informed strategy, content, and design for clients in complex and highly regulated industries. With over 25 years of experience in digital marketing, web development, and team leadership, Chip is known for translating complex ideas into actionable, high-impact strategies. He is the author of Digital Marketing for Law Firms and a frequent speaker on topics including data-driven marketing, analytics storytelling, and performance measurement in the legal sector. In 2024, LaFleur launched Clearboard, a groundbreaking AI-powered analytics platform that helps organizations optimize their marketing investments. Chip also hosts the Legal Marketing Radio podcast and is passionate about helping businesses build smarter, more intentional connections with their audiences.\r\n\r\nPlease let me know if there is anything else needed at this point! 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This one-day event invites students, data enthusiasts, and community members to work side-by-side and analyze real-world data for meaningful impact, no matter your experience level. This year, in partnership with the Michigan Department of State, participants will dive into campaign finance disclosure data to uncover important trends and insights in Michigan politics.\r\n\r\nWhy Campaign Finance Data?\r\nWho funds politics, and why does it matter? Campaign finance data tracks who gives money to candidates, how that money is spent, and how it can potentially influence election outcomes. But often, that data can be difficult to access or understand. At this event, participants will dive into real campaign finance disclosure data, explore the patterns of money and influence in Michigan elections, and develop solutions that make this information more transparent and usable. By turning complex data into insight, participants will walk away more informed and help communities be empowered through data access, data transparency, and a stronger democracy, all while putting their skills to work for the public good.\r\n\r\nAbout A2 Data Dive\r\nParticipants of all skill levels are welcome at the A2 Data Dive and preceding events. Whether participants are looking to enhance their data skills or contribute to community impact, A2 Data Dive offers a welcoming environment to analyze and democratize data, connect with others, and make a difference.\r\n\r\nTo learn about past Data Dives, please visit the A2 Data Dive website. 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Yet real-world datasets often encode historical bias, and models trained on them can reproduce or amplify inequities. Pre-processing via fair synthetic data is a promising: if we can generate data that mitigates bias at the source while preserving signal, downstream models can be both fair and useful. This talk introduces FDA (Fair synthetic data via Data Augmentation), a statistically principled framework that makes the fairness\u2013faithfulness trade-off explicit and controllable. FDA jointly models a fair submodel and a faithful submodel, coupled by a single parameter $\\alpha \\in [0,1]$ that quantifies the fraction of bias removed. We prove clear operating points: $\\alpha=0$ yields maximal fairness (with larger deviation from the original distribution), $\\alpha=1$ recovers the original data in probability (hence in distribution), and intermediate $\\alpha$ values guarantee calibrated compromises with interpretable bounds. Practically, FDA samples directly from simple predictive distributions, avoiding heavy black-box training. We further provide theory connecting FDA\u2019s $\\alpha$ to fairness of downstream models. Together, these results deliver a transparent, efficient, and deployable path to generating fair synthetic data without sacrificing essential statistical structure.\r\n\r\nDr. Bei Jiang is an Associate Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, a Fellow of the Alberta Machine Intelligence Institute (Amii), and a Canada CIFAR AI Chair. She received her PhD in Biostatistics from the University of Michigan in 2014, followed by a postdoctoral appointment in the Department of Biostatistics at Columbia University (2014\u20132015), before joining the University of Alberta as an Assistant Professor in 2015. Dr. Jiang has authored more than 50 journal articles\u2014including in the Annals of Statistics, Journal of the American Statistical Association and the Journal of Machine Learning Research and over 20 peer-reviewed conference papers at venues such as NeurIPS, ICML, ICLR, and AAAI. Her research focuses on Bayesian hierarchical modeling, statistical learning methods that advance privacy and fairness, and federated statistical inference. Dr. Jiang has an extensive record of service to the statistical community. She is currently serving on the SSC Equity, Diversity, and Inclusion Committee, the CANSSI Showcase Organizing Committee, the Committee of the COPSS Presidents\u2019 Award, and the JSM 2026 Program Committee. She is an Associate Editor for the Journal of the American Statistical Association. 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in an Unfair Job Market", "occurrence_title":"", "combined_title":"Theorizing Success in an Unfair Job Market: CID Speaker Series: Maggie Frye", "event_subtitle":"CID Speaker Series: Maggie Frye", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"Join the Stone Center for Inequality Dynamics as we host Maggie Frye, Associate Professor of Sociology at U-M. 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HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow.\r\n\r\nDisability Data in the Health and Retirement Study (HRS) is a 3-day online (Zoom) workshop intended to give participants an overview of the disability data resources in the HRS. Content lectures delivered by HRS co-investigators and content area experts will cover a range of topics including:\r\n\r\n\u25cf The various ways that disability, disabling conditions, health, and functioning are measured in the HRS;\r\n\u25cf How measures of disability have changed as the survey has evolved;\r\n\u25cf How the HRS captures disability benefit receipt in the survey and through and linkage with data from the Social Security Administration;\r\n\u25cf How disability-related topics like employer accommodations, assistive technology and personal assistance are measured in the survey.\r\n\r\nIn addition to presentations on these topics, the workshop will feature labs focused on working with work disability measures in Section M and disability spell data in the RAND HRS.\r\n\r\nStudents will have the opportunity to present research ideas and receive feedback from the workshop faculty and other students.\r\n\r\nThe course is designed for those with experience using HRS data or for those who have taken the introductory HRS workshop. 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Then we might have just the right space for you.\r\n\r\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\r\n\r\nTuesdays, 9:30-11 a.m. ET, via Zoom (Meeting ID:94181215786)\r\nWednesdays, 1:30-3 p.m. ET, via Zoom (Meeting ID: 98659357324)", "occurrence_notes":null, "guid":"117252-21865917@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/117252", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Virtual", "has_livestream":1, "livetream_require_login":1, "cost":"", "tags":["Data"], "website":"", "links":[ ], "sponsors":[ { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"", "image_description":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/117252\/qrcode.png", "occurrence_count":53, "first_occurrence":21865865 } , { "id":"143969-21895434", "datetime_modified":"20260126T121242", "datetime_start":"20260128T120000", "datetime_end":"20260128T130000", "has_end_time":1, "date_start":"2026-01-28", "date_end":"2026-01-28", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"Mathematical Biology Seminar: How much data is needed to validate multiscale models of viral infections?", "occurrence_title":"", "combined_title":"Mathematical Biology Seminar: How much data is needed to validate multiscale models of viral infections?: Stanca Ciupe, PhD (Virginia Tech)", "event_subtitle":"Stanca Ciupe, PhD (Virginia Tech)", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"Uncertainty in parameter estimates from fitting mathematical models to empirical data limits the model\u2019s ability to uncover mechanisms of interaction. Understanding the effect of model structure and data availability on model predictions is important for informing model development and experimental design. To address sources of uncertainty in parameter estimation, I will present methodologies that can help determine when a model can reveal its parameters. I will apply them in the context of virus infections in animals and humans at within-host, population, and multiscale levels. Using these approaches, I will provide insight into the sources of uncertainty and provide guidelines for the types of model assumptions, optimal experimental design, and biological information needed for improved predictions.\n\nThis seminar is hybrid: meeting in Weiser 296 and via Zoom:\nhttps:\/\/umich.zoom.us\/j\/97725897086\nMeeting ID: 977 2589 7086\nPasscode: mathbio", "occurrence_notes":"Hybrid option via Zoom: https:\/\/umich.zoom.us\/j\/97725897086 password mathbio", "guid":"143969-21895434@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/143969", "building_id":"1000165", "building_name":"Weiser Hall", "building_official_id":1000165, "campus_maps_id":"47", "campus_maps_link_path":"weiser-hall", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/weiser-hall", "room":"296", "location_name":"Weiser Hall", "has_livestream":0, "cost":"", "tags":["data"], "website":"", "links":[ ], "sponsors":[ { "group_name":"Mathematical Biology - Department of Mathematics", "group_id":"5455", "website":"" }, { "group_name":"Department of Mathematics", "group_id":"3791", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_143969_original-1.png", "image_description":"Photo of Dr. Stanca Ciupe", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/event_143969_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/event_143969_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/01\/event_143969_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/event_143969_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/01\/event_143969_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/01\/event_143969_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/01\/event_143969_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/01\/event_143969_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/01\/event_143969_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/01\/event_143969_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/01\/event_143969_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/01\/event_143969_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/01\/event_143969_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/01\/event_143969_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/01\/event_143969_original-1.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/143969\/qrcode.png", "occurrence_count":1, "first_occurrence":21895434 } , { "id":"143425-21893147", "datetime_modified":"20260107T161642", "datetime_start":"20260128T120000", "datetime_end":"20260128T130000", "has_end_time":1, "date_start":"2026-01-28", "date_end":"2026-01-28", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"MPSDS \/ JPSM Seminar Series: Sensitivity Analyses for Nonignorable Selection Bias When Estimating Subgroup Parameters in Nonprobability Samples: A Weighting Approach", "occurrence_title":"", "combined_title":"MPSDS \/ JPSM Seminar Series: Sensitivity Analyses for Nonignorable Selection Bias When Estimating Subgroup Parameters in Nonprobability Samples: A Weighting Approach: Rebecca R. Andridge - The Ohio State University", "event_subtitle":"Rebecca R. Andridge - The Ohio State University", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"MPSDS \/ JPSM Seminar Series\r\nMPSDS M3 Series: Mastery, Methodology, Meetups\r\n\r\nIn person, room 1070 Institute for Social Research, and via Zoom. \r\nThe Zoom call will be locked 10 minutes after the start of the presentation.\r\n\r\nSensitivity Analyses for Nonignorable Selection Bias When Estimating Subgroup Parameters in Nonprobability Samples: A Weighting Approach\r\n\r\nSelection bias in survey estimates is a major concern, affecting both nonprobability samples and probability samples with low response rates. The proxy-pattern mixture model (PPMM) offers a method for conducting a sensitivity that assumes a nonignorable selection mechanism, where selection depends on survey outcomes of interest. This approach requires summary-level auxiliary information for the target population of interest from a reference data source. While PPMM methods have been successfully applied to derive overall population-level estimates, extension to domain-level estimates is challenging when population-level summaries for the specific subgroup are unavailable. This occurs when the domain indicator is observed only in the survey, or for complex intersectional subgroups where stable\/reliable population-level auxiliary variable estimates are unavailable. To combat this issue, we propose a novel approach: creating nonignorable selection weights based on the PPMM based on a re-expression of the PPMM as a selection model. These weights can be directly applied to calculate domain-level estimates, circumventing the need for domain-specific population-level summaries of auxiliary variables. They rely on a single sensitivity parameter (ranging from 0 to 1) that captures a spectrum of nonresponse assumptions, ranging from an ignorable mechanism to an extreme nonignorable mechanism. We discuss differences in weight construction for continuous versus binary outcomes, describe the necessary assumptions for these weights to produce informative domain-level estimates, and illustrate properties through simulation. We then apply the approach to the Census Household Pulse Survey to estimate various subgroup quantities under a range of assumptions on the selection mechanism.\r\n\r\nRebecca R. Andridge, PhD\r\nThe Ohio State University\r\nCollege of Public Health, Division of Biostatistics\r\nAssociate Dean for Undergraduate Studies\r\nProfessor of Biostatistics\r\n\r\nDr. Andridge's research is focused on imputation methods for missing data, primarily when missingness is driven by the missing values themselves (missing not at random), and on measures of selection bias for nonprobability samples. She also works on statistical challenges that arise in analysis of data from group-randomized trials. She collaborates with researchers across campus, including the Institute for Behavioral Medicine Research, the Nisonger Center for Excellence in Developmental Disabilities, and The OSU Comprehensive Cancer Center, and serves as Lead Methodologist for several state-sponsored population-based surveys. She is an Elected Fellow of the American Statistical Association (2020).", "occurrence_notes":"In person in room 1070 ISR and via Zoom.", "guid":"143425-21893147@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/143425", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"Room 1070, Institute for Social Research", "location_name":"Virtual", "has_livestream":1, "livestream_type":"zoom", "livetream_require_login":0, "livestream_id":"94043639579", "livestream_password":"2526", "livestream_link":"https:\/\/umich.zoom.us\/j\/94043639579", "cost":"", "tags":["Data"], "website":"https:\/\/shorturl.at\/hSYwV", "links":[ { "type":"other", "url":"https:\/\/shorturl.at\/hSYwV", "title":"Add to Google Calendar" }, { "type":"other", "url":"https:\/\/shorturl.at\/OSCqn", "title":"Abstract and Bio" }, { "type":"other", "url":"https:\/\/tinyurl.com\/v4xc43u9", "title":"Join Zoom" }, { "type":"other", "url":"https:\/\/tinyurl.com\/yh4ujkfk", "title":"Join our Contact List" }, { "type":"other", "url":"http:\/\/Future MPSDS Events", "title":"https:\/\/tinyurl.com\/mvemz7s9" }, { "type":"other", "url":"https:\/\/tinyurl.com\/262pbe6x", "title":"Michigan Program in Survey and Data Science" }, { "type":"other", "url":"https:\/\/tinyurl.com\/6sy9pb4u", "title":"Summer Institute in Survey Research Techniques" } ], "sponsors":[ { "group_name":"Michigan Program in Survey and Data Science", "group_id":"4430", "website":"" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" }, { "group_name":"Survey Research Center", "group_id":"5063", "website":"https:\/\/src.isr.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_143425_original-1.jpg", "image_description":"Flyer", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/143425\/qrcode.png", "occurrence_count":1, "first_occurrence":21893147 } , { "id":"144115-21894683", "datetime_modified":"20260119T114121", "datetime_start":"20260209T120000", "datetime_end":"20260209T130000", "has_end_time":1, "date_start":"2026-02-09", "date_end":"2026-02-09", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"Data Brunch Live! Welcome to the Data Fair", "occurrence_title":"", "combined_title":"Data Brunch Live! Welcome to the Data Fair: ICPSR's Data Fair @ Love Data Week", "event_subtitle":"ICPSR's Data Fair @ Love Data Week", "event_type":"Livestream \/ Virtual", "event_type_id":"24", "description":"Join the ICPSR Data Brunch podcast host(s) for the live kickoff of the 2026 Data Fair @ Love Data Week! Learn about what is planned for this week and hear stories about data, the people who use, seek, or create data, and why you should care. \r\n\r\nNew to the podcast? Catch up on past episodes at https:\/\/myumi.ch\/ICPSRDataBrunch\r\n\r\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information, please visit myumi.ch\/ICPSRLoveDataWeek.\r\n\r\nThis event is free and open to the public. 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Students will enjoy the opportunity to explore ICPSR data, select a study of interest, and communicate its key features, significance, and potential uses in a dynamic, three-minute video.\r\n\r\nVisit https:\/\/myumi.ch\/Xeo1y to see the videos from the 2025 winners and to submit your entry by February 23, 2026. \r\n\r\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information, please visit myumi.ch\/ICPSRLoveDataWeek.\r\n\r\nThis event is free and open to the public. 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This event is part of the 2026 ICPSR Data Fair and Love Data Week.", "occurrence_notes":null, "guid":"144424-21895340@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/144424", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Virtual", "has_livestream":0, "cost":"", "tags":["Data"], "website":"https:\/\/myumi.ch\/pVW5q", "links":[ { "type":"registration", "url":"https:\/\/myumi.ch\/pVW5q", "title":"Registration Link" }, { "type":"other", "url":"http:\/\/myumi.ch\/ICPSRLoveDataWeek", "title":"ICPSR Love Data Week website" } ], "sponsors":[ { "group_name":"ICPSR at the University of Michigan Institute for Social Research", "group_id":"4533", "website":"https:\/\/www.icpsr.umich.edu\/" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_144424_original-1.png", "image_description":"Announcement for ICPSR Data-Savvy Teaching Office Hours during Data Fair on Feb 13, 2026, from 12-1 p.m. ET with registration link.", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/event_144424_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/event_144424_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/01\/event_144424_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/event_144424_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/01\/event_144424_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/01\/event_144424_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/01\/event_144424_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/01\/event_144424_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/01\/event_144424_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/01\/event_144424_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/01\/event_144424_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/01\/event_144424_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/01\/event_144424_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/01\/event_144424_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/01\/event_144424_original-1.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/144424\/qrcode.png", "occurrence_count":1, "first_occurrence":21895340 } , { "id":"144425-21895341", "datetime_modified":"20260124T095155", "datetime_start":"20260213T130000", "datetime_end":"20260213T140000", "has_end_time":1, "date_start":"2026-02-13", "date_end":"2026-02-13", "time_start":"13:00:00", "time_end":"14:00:00", "time_zone":"America\/Detroit", "event_title":"A Re-Introduction to the Social Media Archive: New Website, New Features, New Data", "occurrence_title":"", "combined_title":"A Re-Introduction to the Social Media Archive: New Website, New Features, New Data: ICPSR's Data Fair @ Love Data Week", "event_subtitle":"ICPSR's Data Fair @ Love Data Week", "event_type":"Livestream \/ Virtual", "event_type_id":"24", "description":"The Social Media Archive at ICPSR is back with a fresh look, powerful new features, and a treasure trove of social media data ready for exploration! If you\u2019ve ever wondered, \u201cWhere does social media data go after it\u2019s collected, and how can I actually use it in my research?\u201d\u2014this session is for you. We\u2019re excited to re-introduce the Social Media Archive\u2019s redesigned website and showcase innovative tools and resources that make it easier than ever to find, access, analyze, and deposit social media datasets and studies.\nJoin us as we trace data\u2019s journey, from massive public posts to restricted but accessible datasets, highlighting how new website features support discovery, responsible data use, and transparency. Whether you\u2019re new to ICPSR or a seasoned data explorer, you\u2019ll learn how to harness this rapidly expanding resource for your research. From metadata to API access, from Facebook and Reddit posts to Amazon reviews and AI datasets, the Social Media Archive offers a diverse selection to inspire your next project.\nReady to discover \u201cWhere\u2019s the Data?\u201d and what you can achieve with it? Come see how the Social Media Archive at ICPSR is evolving to meet the needs of today\u2019s social science researchers!\n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information, please visit myumi.ch\/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. The webinar will be recorded, and the recording, along with the slides (when available), will be made available in the 2026 Love Data Week YouTube playlist at https:\/\/myumi.ch\/y1jm8.", "occurrence_notes":null, "guid":"144425-21895341@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/144425", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Virtual", "has_livestream":0, "cost":"", "tags":["Data"], "website":"https:\/\/myumi.ch\/bV4V3", "links":[ { "type":"registration", "url":"https:\/\/myumi.ch\/bV4V3", "title":"Registration Link" }, { "type":"other", "url":"http:\/\/myumi.ch\/ICPSRLoveDataWeek", "title":"ICPSR Love Data Week website" } ], "sponsors":[ { "group_name":"ICPSR at the University of Michigan Institute for Social Research", "group_id":"4533", "website":"https:\/\/www.icpsr.umich.edu\/" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_144425_original-1.png", "image_description":"Announcement for the SOMAR webinar during Data Fair on Feb 13, 2026, from 1-2 p.m. ET with registration link.", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/event_144425_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/event_144425_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/01\/event_144425_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/event_144425_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/01\/event_144425_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/01\/event_144425_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/01\/event_144425_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/01\/event_144425_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/01\/event_144425_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/01\/event_144425_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/01\/event_144425_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/01\/event_144425_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/01\/event_144425_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/01\/event_144425_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/01\/event_144425_original-1.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/144425\/qrcode.png", "occurrence_count":1, "first_occurrence":21895341 } , { "id":"144426-21895342", "datetime_modified":"20260124T095609", "datetime_start":"20260213T140000", "datetime_end":"20260213T150000", "has_end_time":1, "date_start":"2026-02-13", "date_end":"2026-02-13", "time_start":"14:00:00", "time_end":"15:00:00", "time_zone":"America\/Detroit", "event_title":"Navigating the New North: Data Insights About the Changing Canadian Consumer Patterns", "occurrence_title":"", "combined_title":"Navigating the New North: Data Insights About the Changing Canadian Consumer Patterns: ICPSR's Data Fair @ Love Data Week", "event_subtitle":"ICPSR's Data Fair @ Love Data Week", "event_type":"Livestream \/ Virtual", "event_type_id":"24", "description":"Long-standing relationships and consumer behaviour between Canada and the United States experienced a significant shift in 2025 in part due to trade negotiations between the two nations. Canadians reacted to these changes by promoting a \u2018buy-Canadian\u2019 focus and choosing to travel less frequently to the United States.\n\nUsing data from Statistics Canada and other Canadian sources, we will discuss how these trends are reflected in the data and will highlight how socio-economic conditions have changed during this period of transformation between our neighbouring countries.\n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information, please visit myumi.ch\/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. The webinar will be recorded, and the recording, along with the slides (when available), will be made available in the 2026 Love Data Week YouTube playlist at https:\/\/myumi.ch\/y1jm8.", "occurrence_notes":null, "guid":"144426-21895342@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/144426", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Virtual", "has_livestream":0, "cost":"", "tags":["Data"], "website":"https:\/\/myumi.ch\/Xyb4P", "links":[ { "type":"registration", "url":"https:\/\/myumi.ch\/Xyb4P", "title":"Registration Link" }, { "type":"other", "url":"http:\/\/myumi.ch\/ICPSRLoveDataWeek", "title":"ICPSR Love Data Week website" } ], "sponsors":[ { "group_name":"ICPSR at the University of Michigan Institute for Social Research", "group_id":"4533", "website":"https:\/\/www.icpsr.umich.edu\/" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_144426_original-1.png", "image_description":"Announcement for a webinar on the changing Canadian consumer data patterns, scheduled for February 13, 2026, from 2 to 3 p.m. ET with registration link.", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_thumb\/media\/attachments\/2026\/01\/event_144426_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/event_144426_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_2x\/media\/attachments\/2026\/01\/event_144426_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/event_144426_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb\/media\/attachments\/2026\/01\/event_144426_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb_square\/media\/attachments\/2026\/01\/event_144426_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large\/media\/attachments\/2026\/01\/event_144426_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/01\/event_144426_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_crop\/media\/attachments\/2026\/01\/event_144426_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/01\/event_144426_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/01\/event_144426_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/01\/event_144426_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_grid_2x\/media\/attachments\/2026\/01\/event_144426_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_feature_large\/media\/attachments\/2026\/01\/event_144426_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/01\/event_144426_original-1.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/144426\/qrcode.png", "occurrence_count":1, "first_occurrence":21895342 } , { "id":"139829-21886103", "datetime_modified":"20250924T145336", "datetime_start":"20260218T120000", "datetime_end":"20260218T130000", "has_end_time":1, "date_start":"2026-02-18", "date_end":"2026-02-18", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"MPSDS JPSM Seminar Series - Rethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden", "occurrence_title":"", "combined_title":"MPSDS JPSM Seminar Series - Rethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden: Sofi Sinozich and Patrick Moynihan - Pew Research Center", "event_subtitle":"Sofi Sinozich and Patrick Moynihan - Pew Research Center", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"MPSDS JPSM Seminar Series\r\nMPSDS M3 Series\r\n\r\nFebruary 18, 2026\r\n12:00 - 1:00 pm EST\r\nIn person, room 1070 Institute for Social Research, and via Zoom. The Zoom call will be locked 10 minutes are the start of the presentation.\r\n\r\nRethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden\r\n\r\nIn addition to regularly surveying the American public, Pew Research Center fields cross-national public opinion surveys in more than 20 countries annually as part of its Global Attitudes Project (GAP). The Center\u2019s International Methods team focuses on designing, implementing, monitoring, and improving these surveys throughout the year. In this talk, we present two research projects from 2025 in Australia and Sweden.\r\n\r\nMany surveys around the world, across modes and methods, have tended to show a slight left-leaning political bias. Weighting to past vote or party affiliation is a common solution, but these corrections alone may create excessive variance inflation. We faced this problem in our surveys fielded on the mixed-mode Life in Australia probability panel, administered by the Australian National University\u2019s Social Research Centre. To combat this bias, we tested a \u201cvoting-adjusted\u201d sampling approach recommended by our partners at SRC, in parallel with our previous standard stratified sampling design. Taking advantage of panel information and recent Australian elections, the new method incorporates self-reported 2022 vote into individual weights which are used as a measure of size for PPS sampling. After reviewing the technical details behind this approach, we\u2019ll discuss our findings on its impact on variance and substantive estimates compared to the standard design.\r\n\r\nPush-to-web (P2W) designs are gaining traction in Europe as an alternative to costly \u2013 and methodologically challenged \u2013 interviewer-administered approaches. For instance, the European Social Survey announced that by 2027 online and paper self-administered surveys will be their primary means of data collection replacing their traditional face-to-face approach. To better understand this mode and its potential for future waves of GAP, we recently piloted an ABS-style, sequential P2W survey in Sweden to compare with our traditional dual-frame phone design (DFRDD). Our presentation will compare P2W and DFRDD sample outcomes in terms of data quality (such as response rates, response differentiation, survey engagement, and open-ended answer quality), representativeness (versus demographic parameters for gender, education, age and geography) and attitudinal estimates (considering the viability of long-term data trends if mode transitioned in Sweden). The P2W survey included an unconditional incentive experiment as well as a paper questionnaire mailing, allowing us to present findings regarding the value of these design elements. This section of the talk concludes with key takeaways and recommendations for future mode-transition trials. \r\n\r\nSofi Sinozich is a research methodologist in international methods at Pew Research Center. She advises on complex sample design, survey implementation, and data quality assessment for international projects across the Center. Prior to joining the Center, she was a senior research analyst at Langer Research Associates, where she managed and contributed to a wide variety of survey projects, including serving as lead analyst on the ABC News\/Washington Post poll. She holds a master's degree in survey methodology from JPSM and is a member of the WAPOR Professional Standards committee.\r\n\r\nPatrick Moynihan is the associate director of international methods at Pew Research Center. Prior to joining the Center, Patrick was the survey methodologist in the U.S. Department of State\u2019s Office of Opinion Research (INR\/OPN), assistant director of the Program on Survey Research at Harvard University, and senior polling analyst at ABC News. He is a past president of the New England Chapter of the American Association for Public Opinion Research (AAPOR), served on multiple national AAPOR committees, and is currently a member of the Committee on Professional Standards for the World Association for Public Opinion Research. 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