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Federal Committee on Statistical Methodology 2024 Research and Policy Conference

Federal Committee on Statistical Methodology 2024 Research and Policy Conference

FCSM 2024 Program (click to download)

October 22-24, 2024
College Park Marriott Hotel and Conference Center
Hyattsville, MD

Hosted By: Council of Professional Associations on Federal Statistics

Concurrent sessions A
Tuesday, October 22
9:00 AM - 10:30 AM

Session A-1: Innovations in Federal Data Management and Evaluation:Enhancing Standards, Collaboration, and Accessibility

Organizer: Tywanquila Walker, Bureau of Labor Statistics
Chair: Tywanquila Walker, Bureau of Labor Statistics
Discussant: Tywanquila Walker, Bureau of Labor Statistics

Building Capacity: The Benefits of an Interdisciplinary Team in Federal Program Evaluation and Research
Anna Maria Calcagno, Small Business Administration Olivia Gonzalez, Small Business Administration Kate Yang, General Services Administration

Operationalizing a Congressional Mandate: Examples from the Cybersecurity Workforce Data Initiative
Amber Levanon Seligson, National Center for Science and Engineering Statistics Kelly Phou, National Center for Science and Engineering Statistics Gigi Jones,National Center for Science and Engineering Statistics Caren A. Arbeit, RTI International Michael Hogan, RTI International Erin Dunlop Velez, RTI International

Re-envisioning and Revitalizing the Health and Human Services (HHS) Data Council:The Process of Implementing Changes to the Goals, Work, and Charter of the Data Council
Sarah Lessem, HHS/ASPE Natalia Vargas, HHS/ASPE Susan Jenkins, HHS/ASPE Kristen Hudgins, HHS/ASPE Maya Bernstein, HHS/ASPE Maura Reilly, HHS/ASPE Grace Singson, HHS/ASPE

Statistical Classifications: A FAIRy Tale
Faouzi Aloulou, Energy Information Administration Daniel Gillman, Bureau of Labor Statistics Peter Meyer, Bureau of Labor Statistics William Savino, U.S. Census Bureau

Session A-2: When the Rubber Hits the Road: Practicalities of Integrating Alternative Data Sources

Organizer: Nikolas Pharris-Ciurej, U.S. Census Bureau
Chair: Linden McBride, U.S. Census Bureau

Partnering with State agencies to Acquire and Use Administrative Records
Renuka Bhaskar, _U.S. Census Bureau* Maria Perez-Patron, U.S. Census Bureau

Maximizing Linkage in Address Data: Spatial, Exact, and Fuzzy Matching
Timothy Champney, MITRE Hongxun Qin, MITRE Stephanie Coffey, U.S. Census Bureau

Enriching Survey Data with Road Network Analysis for Emergency Response
Joey Marshall, U.S. Census Bureau Abraham Cheung, U.S. Census Bureau Bethany DeSalvo, U.S. Census Bureau Chase Sawyer, U.S. Census Bureau Heather King, U.S. Census Bureau Isabelle Notter, U.S. Census Bureau

Public Opinion on Specific Potential Uses of Administrative Data
Aleia Fobia, U.S. Census Bureau

Session A-3: Text Tactics: Natural Language Processing in Action

Organizer: : Ellen Galantucci, Federal Maritime Commission
Chair: Ellen Galantucci, Federal Maritime Commission

Exploring Data Science Methods in Analyzing Text Information for Datasets
WenWei Zeng, Bureau of Transportation Statistics Cha-Chi Fan, Bureau of Transportation Statistics Ryan Grube, Bureau of Transportation Statistics Young-Jun Kweon, Bureau of Transportation Statistics Berin Linfors, U.S. Census Bureau Mike Carter, Bureau of Transportation Statistics

Leveraging Natural Language Processing for Legislative Research
Pavani Samala, Reveal Global Consulting Mercera Silva, U.S. Census Bureau Amber Hennessey, U.S. Census Bureau Taylor Wilson, Reveal Global Consulting Jayram Athimoolam, Reveal Global Consulting

Machine Learning for In-Instrument Product Code Search
Emily Wiley, U.S. Census Bureau
Clayton Knappenberger, U.S. Census Bureau

NLP Methods for Detecting Non-Therapeutic Drug Use in Clinical Notes
Nikki Adams, National Center for Health Statistics
Rihem Badwe, National Center for Health Statistics

Streamlining ACS Autocoding: Leveraging Natural Language Processing and LLMs
Alexander Zakrzeski, Reveal Global Consulting, LLC
Julia Beckhusen, U.S. Census Bureau
Ana J Montalvo, U.S. Census Bureau
Jackson Chen, Reveal Global Consulting, LLC
Lynda Laughlin, U.S. Census Bureau
Yezzi Angi Lee, Reveal Global Consulting, LLC

Session A-4: Disclosure Avoidance and Product Structure in the 2020 Decennial Census Supplemental Demographic and Housing Characteristics File

Organizer: Philip Leclerc, U.S. Census Bureau
Chair: Philip Leclerc, U.S. Census Bureau Discussant: Sallie Keller, U.S. Census Bureau

The Supplemental Demographic and Housing Characteristics File: Structure and Tabulations
Michael Hawes, U.S. Census Bureau
Alexandra Krause, U.S. Census Bureau

PHSafe: The Disclosure Avoidance Algorithm for the Supplemental Demographic and Housing Characteristics File
William Sexton, Tumult Labs
Ashwin Machanavajjhala, Tumult Labs
David Pujol, Tumult Labs

Per-Attribute Privacy Semantics for the Supplemental Demographic and Housing Characteristics File
David Pujol, Tumult Labs
Ashwin Machanavajjhala, Tumult Labs
William Sexton, Tumult Labs

Bayesian Methods to Improve the Accuracy of Differentially Private Measurements of Constrained Parameters
Scott H. Holan, University of Missouri and U.S. Census Bureau
Ryan Janicki, U.S. Census Bureau
Kyle Irimata, U.S. Census Bureau
James Livsey, U.S. Census Bureau
Andrew Raim, U.S. Census Bureau

Session A-5: Advancing Survey Methodologies: Innovations in Survey Modernization

Organizer: Erica Olmsted, U.S. Census Bureau
Chair: Erica Olmsted, U.S. Census Bureau

Data Modernization Efforts for the National Ambulatory Medical Care Survey
Nicole Cummings, National Center for Health Statistics
Carol DeFrances, National Center for Health Statistics
Prachi Mehta, National Center for Health Statistics

Maximizing Overlap of NAEP School Samples to Optimize both Trend and Cross-sectional Estimates
Lloyd Hicks, Westat
Amy Lin, Westat
Yiting Long, Westat
Keith Rust, Westat

Paradata Analysis of Participant Recruitment and Retention for COVID Household Transmission Study
Xiaoshu Zhu, Westat
Steph Battan-Wraith, Westat
Vanessa Olivo, Westat
Kerry Grace Morrissey, Westat

Using the Annual Business Survey to Improve Measurement of the U.S. Cybersecurity Workforce
Shelley Feuer, National Center for Science and Engineering Statistics
Gigi Jones, National Center for Science and Engineering Statistics
Michael Prebil, National Institute of Standards and Technology
Karen Wetzel, National Institute of Standards and Technology

Session A-6: Make Everybody Count: Including Under-represented and Hard to Reach People in Federal Statistics

Organizer: Bob Sivinski, Office of Homeland Security Statistics
Chair: Rob Santos, U.S. Census Bureau
Discussant: Rob Santos, U.S. Census Bureau

Improving Data Collection for People with Disabilities: Challenges, Opportunities, and Recommended Actions
Adam Politis, OSTP

Plenary Session
Tuesday, October 22, 2024 11:00 AM
Organizer: Linda J. Young, National Agricultural Statistics Service
Chair: Karin Orvis, Office of Management and Budget

Welcome and Annual Update on the U.S. Federal Statistical System
Karin Orvis, Office of Management and Budget

Federal Statistics: Building on the Past, Looking to the Future
Jeri Mulrow, Westat

Concurrent sessions B
Tuesday, October 22
2:00 PM - 3:30 AM

Session B-1: Naturally of Course – Strengthening Statistical Programs Through Natural Language Processing

Organizers: Carla Medalia, Jennifer Ortman, Jennifer Hunter Childs, U.S. Census Bureau
Chair: Sallie Keller, U.S. Census Bureau
Vessey 1

Panelists:

Session B-2: From Data to Decisions: Leveraging Administrative Records in Statistic

Organizer: Gavin Corral, National Agricultural Statistics Service
Chair: Gavin Corral, National Agricultural Statistics Service
Vessey 2

Analyzing the Residential Status of Demographic Frame Addresses
Brandon Pipher, U.S. Census Bureau
Tom Mule, U.S. Census Bureau

Identifying Underserved Areas using Administrative Child Passenger Safety Data
Elizabeth Petraglia, Westa

Recent Differences in Survey and Administrative Measures of Payroll Job Growth
Steve Mance, Bureau of Labor Statistics
Kate Eckerle, Bureau of Labor Statistics
Chris Grieves, Bureau of Labor Statistics

Survey-First vs. Administrative Record-First Approaches to a Census
J. David Brown, U.S. Census Bureau
Marta Murray-Close, U.S. Census Bureau

Session B-3: Open Source Software in the Federal Statistical System

Organizer: Chris Marcum, Office of the Chief Statistician of the United States
Chair: Chris Marcum, Office of the Chief Statistician of the United States
Discussant: Ken Haase, U.S. Census Bureau
Patuxen

EPA’s nanoEHS NaKnowBase/OntoSearcher
Holly Mortensen, Environmental Protection Agency

Survey of Occupational Injuries and Illnesses
David Oh, Bureau of Labor Statistics

The FCSM/CDOC FAIRness Project
Tod Dabolt, Department of the Interior

The CMS Open Source Program Office
Remy DeCausemaker, Centers for Medicare and Medicaid Services

Hardening Open Source Software for Secure Settings
Mason Scott Thomas, U.S. Agency for International Development

Session B-4: Delivering Solutions for Evidence Building in a National Secure Data Service Demonstration

Organizer: May Aydin, National Center for Science and Engineering Statistics
Chair: May Aydin, National Center for Science and Engineering Statistics
Discussant: Eddie Thomas, Department of Veteran Affairs
Room: 2110

An Overview of the National Secure Data Service Demonstration (NSDS-D): Where are we now?
Heather Madray, National Center for Science and Engineering Statistics

Considerations for Successful Implementation of the National Secure Data Service Demonstration: Stakeholder Engagement and Lessons Learned
May Aydin, National Center for Science and Engineering Statistics

Utilizing Privacy Preserving Record Linkage to Link Data from Two Federal Statistical Agencies
Cordell Golden, National Center for Health Statistics
Lisa B. Mirel, National Center for Science and Engineering Statistics
Rob Zybrick, HealthVerity
Rui Wang, Mathematica, Inc.

Data Protection Toolkit Use Case Analysis: Leveraging and Enhancing Existing Tools within the Federal Statistical System to Promote a Shared Service Model
Michael Hawes, U.S. Census Bureau
Martha Stapleton, NORC at the University of Chicago

Session B-5: Improvements to Model-Based Small Area Estimations

Organizer: Jennifer Rhorer, National Agricultural Statistics Service
Chair: Jennifer Rhorer, National Agricultural Statistics Service
Room: 2100

Enhancements to the Modified Kalman Filter for Small Domain Estimation
Lauren Rossen, National Center for Health Statistics
Makram Talih, National Center for Health Statistics

Forest Carbon Accounting with Model-based Estimation from Remote Sensing Data and Nationwide Forest Inventory Plots
Andrew Lister, USDA Forest Service
Laura Duncanson, University of Maryland
John Hogland, USDA Forest Service
Neha Hunk, University of Maryland
George Hurtt, University of Maryland
Lei Ma, University of Maryland
Barry T. Wilson, USDA Forest Service

Session B-6: Maximizing Response Rates: Practical Solutions for Higher Engagemen

Organizer: Rebecca Morrison, Bureau of Labor Statistics
Chair: Rebecca Morrison, Bureau of Labor Statistics
Room: 010

Automatically Mining for Contact Information to Improve Response Rates: A Case Study for the Quarterly Survey of Plant Capacity Utilization
Jessica Huang, U.S. Census Bureau
Christian Moscardi, U.S. Census Bureau

Do you Agree to Participate? Evaluating Informed Consent Materials for the National Longitudinal Survey of Youth
Robin Kaplan, Bureau of Labor Statistics
Tywanquila Walker, Bureau of Labor Statistics
Rebecca L. Morrison, Bureau of Labor Statistics
Safia Abdirizak, Bureau of Labor Statistics

Does it Pay to Send Multiple Pre-Paid Incentives? Evidence from a Randomized Experiment
Andrew C. Chang, Board of Governors of the Federal Reserve System
Joanne W. Hsu, University of Michigan
Eva Ma, Board of Governors of the Federal Reserve System
Kate Bachtell, NORC at the University of Chicago
Micah Sjoblom, NORC at the University of Chicago

Variation in Response to an Increased Incentive by Characteristics of National Health and Nutrition Examination Survey Households
Te-Ching Chen, National Center for Health Statistics
Matt Jans, National Center for Health Statistics
Lara Akinbami, National Center for Health Statistics
Damon Ogburn, National Center for Health Statistics
David Woodwell, National Center for Health Statistics
Jessica Graber, National Center for Health Statistics

Concurrent sessions C
Tuesday, October 22
3:45 PM – 5:15 PM

Session C-1: : Innovative Methods and Tools for Assessing Nonresponse Bias and Survey Refusal

Organizer: Shelley Hyland, Bureau of Justice Statistics
Chair: Shelley Hyland, Bureau of Justice Statistics
Vessey 1

New Insights on the Nonresponse Bias Analysis For the National Assessment of Educational Progress
Sabrina Zhang, Westat
Tom Krenzke, Westat

Equipping State Agency Staff to Analyze Nonresponse Bias in Federal Survey Programs
Benjamin Schneider, Westat
Tamara Nimkoff, Westat
Andy Cruse, Westat
Anthony Fucci, Westat

Changes in Refusal Reasons Over Time in the National Health and Nutrition Examination Survey (2017-2023)
Steven Fink, National Center for Health Statistics
Matt Jans, National Center for Health Statistics
Jill Fleming, National Center for Health Statistics
Denise Schaar, National Center for Health Statistics
Andrew Caporaso, Westat
Jason Clark, Westat
George Dixon, Westat
Susan Genoversa, Westat
Minsun Riddles, Westat

Analyzing Nonresponse Sample Characteristics for Contact Improvement
Liz Jeninga, U.S. Census Bureau
Gritiya Tanner, U.S. Census Bureau

Exploring the Efficacy of Live Survey Methods at the National Science Foundation James McCall, Westat
Kelsey Gray, Westat
Matthew Ring, Westat
Breanna Wakar, Westat
Richard Griffiths, Westat
Rahul Shrivastava, Westat
Yiting Long, Westat
Robin Ferg, Westat
Karmen Perry, Westat
M. Taylor Rhodes, National Science Foundation

Session C-2: Designing an Economy-Wide Survey to Produce Accurate Estimates at Varying Levels Without Overly Burdening Respondents: The Annual Integrated Economic Survey

Organizer: Colt S. Viehdorfer, U.S. Census Bureau
Chair: Nikki Czaplicki, U.S. Census Bureau

Estimating Variances for the U.S. Census Bureau’s Annual Integrated Economic Survey: Challenges in Estimation with a Low Entropy Sample Design
Katherine J. Thompson, U.S. Census Bureau

Estimating Variances for the U.S. Census Bureau’s Annual Integrated Economic Survey: Challenges in Estimation with a Low Entropy Sample Design
Katherine J. Thompson, U.S. Census Bureau

Small Area Estimation for the Annual Integrated Economic Survey
Stephen J. Kaputa, U.S. Census Bureau

A Matrix Sample Design to Reduce Burden on Companies in the Manufacturing Sector of the Annual Integrated Economic Survey Colt S. Viehdorfer, U.S. Census Bureau

Imputing Responses for Manufacturing Establishments Using a Mixed Model under a Matrix Sub-Sample Design
Yeng Xiong, U.S. Census Bureau

Session C-3: Data Science Methodologies and Applications

Organizer: Yang Cheng, National Agricultural Statistics Service
Chair: Linda J. Young, National Agricultural Statistics Service
Patuxent

Drift vs Shift: Decoupling Trends and Changepoint Analysis
David S. Matteson, Cornell University and National Institute of Statistical Sciences

On an Empirical Likelihood-Based Solution to Approximate Bayesian Computation Problem
Sanjay Chaudhuri, University of Nebraska-Lincoln and National University of Singapore
Subhroshekhar Ghosh, National University of Singapore
Pham Thi Kim Cuc, National University of Singapore

Capture-Recapture in the Age of AI
Robert Emmet, National Agricultural Statistics Service
Luca Sartore, National Institute of Statistical Sciences and National Agricultural Statistics Service
Habtamu Benecha, National Agricultural Statistics Service
Bruce A. Craig, Purdue University and National Agricultural Statistics Service

Securing Confidentiality in Machine Learning Models
Ellen Galantucci, Federal Maritime Commission

On A Machine Learning Framework for Studying Imbalanced Spatio-Temporal Data
Snigdhansu (Ansu) Chatterjee, University of Maryland, Baltimore County

Session C-4: Visualizing Insights: Unveiling the Power of Data

Organizer: Ian L Thomas, U.S. Census Bureau
Chair: Ian L Thomas, U.S. Census Bureau
Room 2110

A Combined Natural Language Annotation and Visualization Tool for the Exploratory Analysis of Federal Survey Response and Note Documents
Haley Hunter-Zinck, U.S. Census Bureau

So You Want To Build A Dashboard: Choosing The Right Digital Dissemination Tool
Alex Harding, RTI International

Supply Chain Insights Platform (SCIP): Synthesizing Economic Data
Carla Medalia, U.S. Census Bureau
Krista Chan, U.S. Census Bureau
Kevin Li, U.S. Census Bureau
Jonathan Morgan, U.S. Census Bureau
Christian Moscardi, U.S. Census Bureau
Chanteria Milner, U.S. Census Bureau

Session C-5: Data Insights Across Federal Statistics

Organizer: Joseph Rodhouse, Economic Research Service
Chair: Joseph Rodhouse, Economic Research Service
Room 2100

A Reconsideration of the Gibbs Sampler for Gaussian Mixed Linear Models
William R. Bell, U.S. Census Bureau

Annual Review Process for the Seasonal Adjustment of Metropolitan Statistical Areas
Jennifer Oh, Bureau of Labor Statistics

Comparing Seven Approaches to Poverty Measurement in Terms of Their Relevance to Wellbeing
Kathryn O’Neill, University of Pennsylvania

Matrix Decompositions: A Powerful Tool for Data-Driven Topic Modeling in Federal Surveys
Irina Belyaeva, U.S. Census Bureau

On Several Recent Quasi-randomization Approaches to Estimation from Non-probability Samples
Julie Gershunskaya, Bureau of Labor Statistics
Vladislav Beresovsky, Bureau of Labor Statistics
Terrance D. Savitsky, Bureau of Labor Statistics

The U.S. Census Bureau Index of Economic Activity (IDEA)
Elizabeth Marra Viehdorfer, U.S. Census Bureau
Valerie Pianin, U.S. Census Bureau
Jose Asturias, U.S. Census Bureau
William R. Bell, U.S. Census Bureau
Rebecca Hutchinson, U.S. Census Bureau
Tucker McElroy, U.S. Census Bureau
Rebecca L. Weaver, U.S. Census Bureau

Session C-6: Transforming Data Collection: Advancements in Field Operations and Quality Monitoring

Organizer: Melissa Cidade, Bureau of Justice Statistics
Chair: Melissa Cidade, Bureau of Justice Statistics
Room: 010

Evaluation of Field Operation Training Programs: A Systematic Review
Maxwell Hope, U.S. Census Bureau
Crystal Hernandez, U.S. Census Bureau
Lin Wang, U.S. Census Bureau

Field Quality Monitoring: Findings and Expansion from the Reinterview Pilot Program
Rachel Huang, U.S. Census Bureau
Laura Hergert, U.S. Census Bureau
Elizabeth Mahoney, U.S. Census Bureau
Sydney England, U.S. Census Bureau

Harnessing Paradata with Machine Learning to Inform Data Collection
Jack Zhou, Westat
Gizem Korkmaz, Westat
Ting Yan, Westat
Jill Carle, Westat
Ryan Hubbard, Westat
Rick Dulaney, Westat
Brad Edwards, Westat

Maintaining Data Integrity: The Evolution of the Census Bureau’s Field Quality Monitoring Program
Elizabeth Mahoney, U.S. Census Bureau
Mary C. Davis, U.S. Census Bureau
Richard A. Denby, U.S. Census Bureau
Scott W. Glendye, U.S. Census Bureau
Laura B. Hergert, U.S. Census Bureau
Rachel Huang, U.S. Census Bureau
Sadaf Rohani, U.S. Census Bureau
Karen Pennie, U.S. Census Bureau

The Field Data Collector Labor Force: Lessons from the Pandemic
Rick Dulaney, Westat
Jill Carle, Westat
Tammy Cook, Westat
Brad Edwards, Westat

Concurrent sessions D
Wednesday, October 23
8:00 AM – 10.00 AM

Session D-1: AI-Ready Data: Promise, Practices, and Policies from the Department of Commerce Experience

Organizer: Brian Quistorff, Bureau of Economic Analysis
Chair: Oliver Wise, Department of Commerce
Discussant: Oliver Wise, Department of Commerce
Room: Chesapeake A

Building AI-Ready Best Practices: The Work of the Commerce Data Governance Board
Ryan Harper, U.S. Census Bureau

Unleashing the Power of Open Data: NOAA’s AI Readiness Journey
Tyler Christensen, National Oceanic and Atmospheric Administration

AI-Ready Data: The Census Track to Machine Understandable Data
Kenneth Haase, U.S. Census Bureau

Look Before You Leap: Exploring BEA Data Capture by GenAI Technologies
Paul Iwugo, Bureau of Economic Analysis

Session D-2: What’s going on in there? Applications of Formal Privacy

Organizer: Doug Williams, Bureau of Labor Statistics
Chair: Doug Williams, Bureau of Labor Statistics
Room: Chesapeake B

The Statistical Mechanics of Formal Privacy
Mark Fleischer, Ph.D., U.S. Census Bureau

An Integer Programming Cell Suppression Algorithm – Providing Company Level Protection in One Optimization
Bei Wang, U.S. Census Bureau

Optimizing Disclosure Control Methods for Data Products with Uncommon Characteristics: A Case Study on the Census of Fatal Occupational Injuries
Danny Friel, Bureau of Labor Statistics
Alyssa Gillen, Bureau of Labor Statistics
Julie Krautter, Bureau of Labor Statistics
Yvangelista Saastamoinen, Bureau of Labor Statistics

What Impact Do the 2020 Census Differential Privacy Methods Have on the National Survey on Drug Use and Health Sample?
Katie Morton, RTI International
Rong Cai, SAMHSA/CBHSQ
Ahmed Khago, SAMHSA
Peilan C. Martin, RTI International
Matthew R. Williams, RTI International

Session D-4: PANEL: Defining Relevance for Statistical Collections and Data Products

Organizer: Lexi Shankser, National Center for Education Statistics
Chair: Lexi Shankser, National Center for Education Statistics
Room: Vessey 1

Panelists:

Session D-5: Using Record Linkage of Administrative Records to Improve Federal Statistics

Organizer: Mark Motivans, Bureau of Justice Statistics
Chair: Ryan Kling, Bureau of Justice Statistics
Room: Vessey 2

Data Matching in Department of Homeland Security (DHS) Enforcement Lifecycle Tool
Hongwei Zhang, Department of Homeland Security

Using Record Linkage to Assess Data Quality in Demographic Information Collected Across Federal Justice Agencies
Mark Motivans, Bureau of Justice Statistics

Leveraging Linked Data to Investigate the Consistency of Legal Information Collected by Federal Justice Agencies
Chris Cutler, Abt Global
Isaiah Gerber, Abt Global
George Ebo Browne, Bureau of Justice Statistics

Linking Federal Immigration Court and Federal Criminal Justice System Data
Ryan Kling, Bureau of Justice Statistics

Session D-6: Toward a More Perfect Sample: Case Studies in Sample Redesign

Organizer: Jonathan Mendelson, Bureau of Labor Statistics
Chair: Jonathan Mendelson, Bureau of Labor Statistics
Discussant: Stas Kolenikov, NORC at the University of Chicago
Room: 0105

Demographic Surveys Sample Redesign at the US Census Bureau: Update, Lessons Learned, and Next Steps
Richard Levy, U.S. Census Bureau
Matthew Herbstritt, U.S. Census Bureau

Exploring the Potential Redesign of a Traditionally In-Person Federal Survey after Pandemic-related Mode Changes and Evolving Priorities
Nicholas Davis, NORC at the University of Chicago
Whitney Murphy, NORC at the University of Chicago
Holly Cast, NORC at the University of Chicago
Chrystine Tadler, NORC at the University of Chicago
Nathaniel Poland, NORC at the University of Chicago

Innovations in Sample Design: A Comparison of Address-Based Sample and Panel Frame Sample for Federal Transportation Statistics
Jared Coopersmith, Ipsos
Joann Lynch, Ipsos
Sarah Kahl, Ipsos

Redesign of the National Highway Traffic Safety Administration Occupant Protection Surveys
Lacey Werth, National Highway Traffic Safety Administration

Concurrent sessions E
Wednesday, October 23
10:30 PM – 12:00 PM

Session E-1: Cracking the Code to Higher Response Rates: Fresh Evidence and Innovative Approaches

Organizer: Kristin Tennyson, Bureau of Justice Statistics
Chair: Kristin Tennyson, Bureau of Justice Statistics
Room: Chesapeake A

Which Mode Leads to a Complete? Findings from a Contact Mode Analysis
Katie Johnson, NORC at the University of Chicago
Quentin Brummet, NORC at the University of Chicago
Leah Christian, NORC at the University of Chicago
Natalie Wang, NORC at the University of Chicago
Anthony Washburn, NORC at the University of Chicago

Hold the Phone: Examining the Factors Driving Individual and Household Nonresponse in a Mobile App Diary Survey
Lauren Miller, Economic Research Service
Joseph B. Rodhouse, Economic Research Service

Citizenship Question Effects on Noncitizen Household Response
J. David Brown, U.S. Census Bureau
Misty L. Heggeness, University of Kansas

Assessing a Nonresponse Follow-Up Protocol for Household Probability Panel Recruitment
Michael Jackson, SSRS

Session E-2: CAccessible Data for Young Learners: Innovative Paths to Make Federal Data Relevant to Students

Organizer: Josue DeLaRosa, National Center for Education Statistics Chair: Josue DeLaRosa, National Center for Education Statistics Chesapeake B

Hold the Phone: Examining the Factors Driving Individual and Household Nonresponse in a Mobile App Diary Survey
Lauren Miller, Economic Research Service
Joseph B. Rodhouse, Economic Research Service

Empowering Tomorrow’s Data Detectives: Promoting Statistical Literacy and Engagement among Youth
Ryne Paulose, National Center for Health Statistics
Juliana McAllister, Centers for Disease Control and Prevention
Trudi Ellerman, Centers for Disease Control and Prevention
Jody Derezinski Williams, University of Maryland
Rebecca Nichols, American Statistical Association
Josue DelaRosa, National Center for Education Statistics

Enhancing Access to Postsecondary Information: The Impact of NCES College Navigator on Student Decision-Making
Tara Lawley, National Center for Education Statistics

From Classroom to Community: Using Census Data to Build Statistical and Civic Literacy
Victoria R Glasier, U.S. Census Bureau

Tailoring BLS Information for Educational Audiences
Maya Brandon, Bureau of Labor Statistics
Tracy Jack, Bureau of Labor Statistics

Session E-3: Establishing the Establishments: Innovations in Establishment Data

Organizer: Emily Schondelmyer, U.S. Census Bureau
Chair: Emily Schondelmyer, U.S. Census Bureau
Room: Chesapeake C

A Decade in Review: The Evolution of Online Data Collection of Establishment Surveys
Temika Holland, U.S. Census Bureau
Rebecca Keegan, U.S. Census Bureau
Melissa Cidade, Bureau of Justice Statistics

Federal Government Wage Indices
Ted To, Bureau of Labor Statistics
Travis Cyronek, Bureau of Labor Statistics

Presenting EHRs Data Alongside Survey Data: Insights and Challenges
Christine Caffrey, National Center for Health Statistics
Manisha Sengupta, National Center for Health Statistics
Shannon Kindilien, National Center for Health Statistics

Starting up a New Survey of Government Facilities: Challenges and Lessons Learned
Ronda Britt, National Center for Science and Engineering Statistics
Sherri Mamon, ICF
Randy ZuWallack, ICF

Using Open-Ended Text to Evaluate “Other” Disposition Codes
Victoria R. Narine, Bureau of Labor Statistics
Josh Langeland, Bureau of Labor Statistics

Session E-4: PANEL: Roles and Responsibilities of Statistical Officials

Organizer: William Wiatrowski, Bureau of Labor Statistics
Chair: William Wiatrowski, Bureau of Labor Statistics
Discussant: Jacob Malcom, Department of Interior
Room: Vessey 1

Panelists:

Session E-5: Creating an Integrated System of Data and Statistics on Household Income, Consumption, and Wealth: Progress on Building

Organizer: David Johnson, National Academies of Sciences, Engineering and Medicine
Chair: Timothy Smeeding, University of Wisconsin, Madison
Discussant: Katharine Abraham, University of Maryland
Room: Vessey 2

Creating an Integrated System of Data and Statistics on Household Income, Consumption, and Wealth: Highlights from the Report
David Johnson, National Academies of Sciences, Engineering and Medicine
Timothy Smeeding, University of Wisconsin, Madison
Connie Citro, National Academies of Sciences, Engineering and Medicine

The National Experimental Wellbeing Statistics Project
Jonathan Rothbaum, U.S. Census Bureau

Consumption Inequality During and After the COVID-19 Pandemic
Thesia I. Garner, Bureau of Labor Statistics
Brett Matsumoto, Bureau of Labor Statistics
Jake Schild, Bureau of Labor Statistics

The Polarization of Personal Saving
Marina Gindelsky, Bureau of Economic Analysis
Robert Martin, Bureau of Labor Statistics

Concurrent sessions F
Wednesday, October 23
1:45 PM – 3:15 PM

Session F-1: Using AI and ML to Improve Data Analytics

Organizer: Erin Babich, Office of Homeland Security Statistics
Chair: Erin Babich, Office of Homeland Security Statistics
Room: Chesapeake A

A Semi-Supervised Active Learning Approach for Block-Status Classification
Atul Rawal, U.S. Census Bureau
James McCoy, U.S. Census Bureau
Andrew Duvall, U.S. Census Bureau
Elvis Martinex, U.S. Census Bureau

Discovering STEM Researchers’ Trajectories through AI-aided Data Linkage
Eric Livingston, Capitol Technology University / Elsevier
Wan-Ying Chang, National Center for Science and Engineering Statistics

Explainable Artificial Intelligence for Bias Identification and Mitigation in Demographic Models
Atul Rawal, U.S. Census Bureau
Sandy L. Dietrich, U.S. Census Bureau
James McCoy, U.S. Census Bureau

Using Machine Learning Methods to Identify Potential Construct Validity and Measurement Error Disparities in Health Outcomes from U.S. National Surveys
Morgan Earp, National Center for Health Statistics
Lauren Rossen, National Center for Health Statistics
Sarah Forrest, National Center for Health Statistics
Trent Buskirk, Old Dominion University

Who Are the Careless Web Respondents Identified by Machine Learning
Ting Yan, Westat
Gizem Korkmaz, Westat
David Cantor, Westat

Session F-2: New Bayesian Methods for Statistical Data Privacy

Organizer: Jingchen (Monika) Hu, Vassar College
Chair: Jingchen (Monika) Hu, Vassar College
Room: Chesapeake B

Bayesian Data Synthesis and the Utility-Risk Trade-Off for Mixed Epidemiological Data
Joe Feldman, Duke University
Daniel Kowal, Cornell University

Generating Spatially Referenced, Differentially Private Synthetic Data Using a Poisson-lognormal Approach
Harrison Quick, University of Minnesota

Mechanisms for Global Differential Privacy under Bayesian Data Synthesis
Terrance Savitsky, Bureau of Labor Statistics
Jingchen (Monika) Hu, Vassar College
Matthew Williams, RTI International

Privacy Preserving Autocoders
Matthew Williams, RTI International
Robert Chew, RTI International
Terrance Savitsky, Bureau of Labor Statistics

Exploring the Use of Synthetic Data to Reduce Disclosure Risks in Municipal Health Surveys
Wen Qin Deng, New York City Department of Health and Mental Hygiene
Tashema Bholanath, New York City Department of Health and Mental Hygiene
Stephen Immerwahr, New York City Department of Health and Mental Hygiene
Fangtao He, New York City Department of Health and Mental Hygiene
Nneka Lundy De La Cruz, New York City Department of Health and Mental Hygiene
Jingchen Hu, Vassar College

Session F-3: In the Business of Understanding the Business Landscape – The Annual Business Survey

Organizer: Audrey Kindlon, National Center for Science and Engineering Statistics
Chair: Brian Headd, Small Business Administration
Location: Chesapeake C

Capturing the Annual Business Survey in Synthetic Microdata: Construction and Use Cases of a Public Use File
Jorge Cisneros Paz, Oak Ridge Institute for Science and Education
Audrey Kindlon, National Center for Science and Engineering Statistics
Tim Wojan, Oak Ridge Institute for Science and Education
Matt Williams, RTI International
Jennifer Ozawa, RTI International
Christine Task, Knexus Research Corporation
DJ Streat, Knexus Research Corporation

Refocusing on What We Don’t Know: A Sample Redesign to Leverage Administrative Data
Sandy Peterson, U.S. Census Bureau
Daniel Cordes, U.S. Census Bureau
Stephen Hardy, U.S. Census Bureau
Audrey Kindlon, National Center for Science and Engineering Statistics

Rural Innovative Firms and Credit: Findings from the Annual Business Survey
Anil Rupasingha, Economic Research Service
Luyi Han, Penn State University
Timothy Wojan, Oak Ridge Institute for Science and Education
Stephan Goetz, Penn State University

Can It Work for Employers? The Expansion of Administrative Records Use beyond Nonemployer Demographic Statistics
Adela Luque, U.S. Census Bureau
Valeska Araujo, U.S. Census Bureau & George Mason University
Michaela Dillon, U.S. Census Bureau
John Earle, U.S. Census Bureau & George Mason University
Lorenz Eckerd, U.S. Census Bureau
James Noon, U.S. Census Bureau
Vitaliy Novik, U.S. Census Bureau & George Washington University
Jared Wold, U.S. Census Bureau & George Mason University
Samuel Young, U.S. Census Bureau & Arizona State University

Session F-5: Appraise, Assess, & Apply: Advancing Alternative Data Use

Organizer: Jeramiah Yeksavich, Energy Information Administration
Chair: Jeramiah Yeksavich, Energy Information Administration
Vessey 2

Potential Value of Data and Free Access to These Data
Spiro Stefanou, Economic Research Service
Amos Golan, American University

Developing Fitness for Purpose Guidelines for Alternative Data Sources
Sarah Konya, U.S. Census Bureau

Progress on Adopting Big Data in the US Consumer Price Index
Brendan Williams, Bureau of Labor Statistics

A Diesel Motor Fuel Price Index: Incorporating Secondary Source Data into the US CPI
Sarah Niedergall, Bureau of Labor Statistics
Alec Harkins, Bureau of Labor Statistics

Session F-6: Assessing and Maintaining Quality in a Fast-paced Online Probability Panel Survey: Lessons from the National Center for Health Statistics’ Rapid Surveys System

Organizer: Talia Kaatz, National Center for Health Statistics
Chair: Stephen Blumberg, National Center for Health Statistics
Room: 0105

Quality in Questionnaire Development for a Rapid Online Panel Survey
Talia Kaatz, National Center for Health Statistics
Stephen Blumberg, National Center for Health Statistics
Grace Medley, National Center for Health Statistics
Paul Scanlon, National Center for Health Statistics
Amanda Smith, RTI International
Victoria Dounoucos, RTI International

Ensuring Representativeness of a Sampled Subpopulation from a Probability Panel
Jared Coopersmith, Ipsos
Zachary Lewis, Ipsos
Randall Thomas, Ipsos
Mary Noorzai, Ipsos
Matthew Bramlett, National Center for Health Statistics
James Dahlhamer, National Center for Health Statistics
Katherine Irimata, National Center for Health Statistics

Navigating the Data Processing Journey from Online Probability Panel Data Collection to Public Use File
Adam Lee, RTI International
Emily Terlizzi, National Center for Health Statistics

Combining Data from Multiple Sources: Performance of Different Classes of Estimators from Monte Carlo Simulations
Stas Kolenikov, NORC at the University of Chicago
Soubhik Barari, NORC at the University of Chicago
David Dutwin, NORC at the University of Chicago
Katherine Irimata, National Center for Health Statistics
James Dahlhamer, National Center for Health Statistics

Assessing Bias Across Health Domains from Two Online, Probability-based Panel Surveys: Examples from the National Center for Health Statistics Rapid Surveys System
James Dahlhamer, National Center for Health Statistics
Katherine Irimata, National Center for Health Statistics

Concurrent sessions G
Tuesday, October 24
3:30 PM – 5:00 PM

Session G-1: Best Practices and Challenges of Disclosure Reviews

Organizer: Jingchen (Monika) Hu, Vassar College
Chair: Jingchen (Monika) Hu, Vassar College
Discussant: Michael Hawes, U.S. Census Bureau
Chesapeake A

Disclosure Review Challenges in a Small Federal Statistical Agency
Alisha Coleman-Jensen, Economic Research Service
Carrie Jones, Economic Research Service
Molly Burress, Economic Research Service
Andrew Kerns, Economic Research Service

Safeguarding Confidentiality: Establishing Data Protection Protocols in a Small Federal Agency Venturing into Public Data Release
Ellen Galantucci, Federal Maritime Commission

Disclosure Review at the Bureau of Economic Analysis
Dan Yorgason, Bureau of Economic Analysis

Best Practices and Challenges in Performing Disclosure Reviews at the U.S. Energy Information Administration
David Kinyon, Energy Information Administration

BLS Disclosure Review Board
Joshua Klick, Bureau of Labor Statistics

Development of a Disclosure Avoidance Process and Tool for the National Center for Science and Engineering Statistics
Shaun Genter, National Center for Science and Engineering Statistics
Darius Singpurwalla, National Center for Science and Engineering Statistics
Heather Madray, National Center for Science and Engineering Statistics
Keigan Rice, NORC at the University of Chicago
Jennifer Taub, NORC at the University of Chicago
Sydney Bell, NORC at the University of Chicago
Alexander Hass, NORC at the University of Chicago
Jay Breidt, NORC at the University of Chicago
Julie Banks, NORC at the University of Chicago
Benjamin Reist, NORC at the University of Chicago

Session G-2: Effective Strategies in the Era of Evidence Building: The Future is Now!

Organizer: Ted Horan, Social Security Administration
Chair: Barbara A. Downs, U.S. Census Bureau
Chesapeake B

Enhancing School Safety Through the Indicators of School Crime and Safety Program: The Value of Cross-Agency Collaboration
Josue DeLaRosa, National Center for Education Statistics
Veronique Irwin, National Center for Education Statistics

Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data
Nick Hart, Data Foundation
Jennifer Park, Committee on National Statistics

Unleashing the Promise of Evidence-Based Decision-Making: The Power of the “3 Cs”
Alyssa Holdren, Bureau of Economic Analysis
Barbara Downs, U.S. Census Bureau
Erica Zielewski, Office of Management and Budget

Session G-4: The Roles of Data Quality and Transparency in Supporting Scientific Integrity for Statistical Agencies

Organizer: Steven Klement, U.S. Census Bureau
Chair: Steven Klement, U.S. Census Bureau
Location: Vessey 1

Panelists:

Session G-5: Evidence-based Bayesian Methods for More Precise Estimates and Useful Inference

Organizer: John Deke, Mathematica, Inc
Chair: Scott Cody, Westat
Discussant: Thomas Wei, Institute of Education Sciences
Location: Vessey 2

A Strong Case for Rethinking Causal Inference
John Deke, Mathematica, Inc.

Assessing the Assessment: Reinterpreting Changes in State- and District-Level NAEP Scores Using a Hierarchical Bayesian Approach
Jennifer Starling, Mathematica, Inc.
Lauren Forrow, Mathematica, Inc.
Jon Gellar, Mathematica, Inc.
Brian Gill, Mathematica, Inc.

Measurement Error Subarea Models: An Application of Farm Labor Parameters
Lu Chen, National Agricultural Statistics Service
Balgobin Nandram, Worcester Polytechnic Institute & National Agricultural Statistics Service
Linda J. Young, National Agricultural Statistics Service

Hierarchical Bayes Small Area Estimation for County-level Health Prevalence to Having a Personal Doctor
Andreea Erciulescu, Westat
Jianzhu Li, Financial Industry Regulatory Authority
Tom Krenzke, Westat
Machell Town, Centers for Disease Control and Prevention

Session G-6: Striking the Right Balance of Old and New: Combining Paper and Web Approaches to Optimize Data Collection

Organizer: Julie Weeks, National Center for Health Statistics
Chair: Julie Weeks, National Center for Health Statistics
Discussant: Matt Jans, National Center for Health Statistics
Room 0105

Adding a Paper Questionnaire to a Teen Web Survey: Is it Worth the Effort? An NHIS-Teen Investigation
Benjamin Zablotsky, National Center for Health Statistics
Amanda Ng, National Center for Health Statistics
Lindsey Black, National Center for Health Statistics
Jonaki Bose, National Center for Health Statistics
Jessica Jones, Maternal and Child Health Bureau
Stephen Blumberg, National Center for Health Statistics

Is it Helpful to Include QR Codes on Mail Contact Materials for Self-Administered Web Surveys?
Taylor Lewis, RTI International
Nicole Lee, RTI International
Dain Palmer, RTI International
Naomi Freedner, RTI International
Hannah Matzke, Chicago Department of Public Health
Nik Prachand, Chicago Department of Public Health

Testing the Effectiveness of an Advance Data Worksheet and Initial Hard-copy Survey on Response Rates and Data Quality
Sean Goodison, Bureau of Justice Statistics

Understanding Our Agency’s Needs: Preparing to Integrate Web Surveys
Renee Stepler, U.S. Census Bureau
Jennifer Sinibaldi, U.S. Census Bureau
Jessica Holzberg, U.S. Census Bureau

Concurrent sessions H
Thursday, October 24
8:30 PM – 10:00 PM

Session H-1: Innovations in Sample Design: From Theory to Practice

Organizer: Stephanie Coffey, U.S. Census Bureau
Chair: Stephanie Coffey, U.S. Census Bureau
Chesapeake A

Balanced Sampling: Comparisons between INCA and Cube Method
Yang Cheng, National Agricultural Statistics Service
Lu Chen, National Agricultural Statistics Service & National Institute of Statistical Sciences
Luca Sartore, National Agricultural Statistics Service & National Institute of Statistical Sciences
Valbona Bejleri, National Agricultural Statistics Service

Extending Cochran’s Sample Size Rule to Stratified Simple Random Sampling
Siyu Qing, Ernst & Young LLP
Richard Valliant, Universities of Michigan & Maryland

National Web Survey of Korean Americans using Respondent Driven Sampling
Kaidar Nurumov, University of Michigan
Associate Research Professor, Dr. Sunghee Lee

Novel Sampling Methodology Combining Probability Sampling with Online Recruitment - A Case Study of an Internal Revenue Service (IRS) National Taxpayer Survey
Peter Enns, Cornell University and Verasight
Yvonne Nomizu, Pacific Consulting Group
Jake Rothschild, Verasight

PSU Random Walk under Three-year Pooled Data
William Waldron, National Center for Health Statistics

Applying Chi-square Tests to Examine Homogeneity of Proportions between Data Collected with Different Sampling Designs
Li-Yen Hu, National Center for Health Statistics
Yulei He, National Center for Health Statistics
Katherine E. Irimata, National Center for Health Statistics
Rong Wei, National Center for Health Statistics
Van L. Parsons, National Center for Health Statistics

Session H-2: Balancing Data Privacy and Utility

Organizer: Jennifer Rhorer, National Agricultural Statistics Service
Chair: Jennifer Rhorer, National Agricultural Statistics Service
Chesapeake B

Assessing Utility of Synthetic Data: Applications to the Survey of Doctoral Recipients and Census Transportation Planning Projects
Robyn Ferg, Westat
Tom Krenzke, Westat
Minsun Riddles, Westat

Empirically Measuring Privacy over the NIST CRC Deidentified Data Archive
Gary Howarth, National Institute of Standards and Technology
Christine Task, Knexus Research Corporation

Enabling Third-Party Audits of Algorithmic Systems with Privacy Enhancing Technologies
Michael Walton, U.S. Census Bureau
Tomo Lazovich, U.S. Census Bureau

Feasibility Study on the Per-Record Differential Privacy for the Census of Agriculture
Michael Jacobsen, National Agricultural Statistics Service
Casey Meehan, Tumult Labs
Ashwin Machanavajjhala, Tumult Labs
Yang Cheng, National Agricultural Statistics Service

Slowly Scaling Per-Record Differential Privacy
Brian Finley, U.S. Census Bureau
Anthony Caruso, U.S. Census Bureau
Justin Doty, U.S. Census Bureau
Ashwin Machanavajjhala, Tumult Labs
Mikaela Meyer, MITRE
David Pujol, Tumult Labs
William Sexton, Tumult Labs
Zachary Terner, MITRE

Session H-4: PANEL: Measuring the Health of the Federal Statistical System

Organizer: Steve Pierson, American Statistical Association
Chair: Katherine Smith Evans, Kitty Evans Consulting
Discussant: Steve Pierson, American Statistical Association
Vessey 1

Panelists:

Session H-5: Bringing it All Together: Exploring Ways to Mesh Data from Multiple Sources

Organizer: Derrick D. Dennis, Internal Revenue Service
Chair: Derrick D. Dennis, Internal Revenue Service
Vessey 2

Working 9-5 and 5-9: Demographic Statistics on Entrepreneurs Who Work for a Wage
Nick LaBerge, U.S. Census Bureau
Adela Luque, U.S. Census Bureau
Emily Schondelmyer, U.S. Census Bureau

A Structural Decomposition Analysis of U.S. Food Expenditures at the State Level
Eliana Zeballos, Economic Research Service
Wilson Sinclair, Economic Research Service

Continuous Count Study: Assessing Utility and Availability of Administrative Data
Thomas Mule, U.S. Census Bureau
J. David Brown, U.S. Census Bureau
Marta Murray-Close, U.S. Census Bureau
Jerry Maples, U.S. Census Bureau
Timothy Kennel, U.S. Census Bureau

Temporary Protected Status (TPS) Recipients in the United States: Lessons Learned from Development of the Office of Homeland Security Statistics’ Immigrant Benefits Lifecycle Database
Jason Schachter, Office of Homeland Security Statistics
Erin Babich, Office of Homeland Security Statistics
Aneer Rukh-Kamaa, Office of Homeland Security Statistics
Sarah Miller, Office of Homeland Security Statistics

Some Recent Advances and Open Problems in Post-Linkage Data Analysis
Martin Slawski, University of Virginia
Brady T. West, University of Michigan
Priyanjali Bukke, George Mason University
Emanuel Ben-David, U.S. Census Bureau

Session H-6: The National Household Travel Survey: Applications and Opportunities

Organizer: Stacey Bricka, MacroSys
Chair: Daniel Jenkins, Federal Highway Administration
Discussant: Clara Reschovsky, Bureau of Transportation Statistics
Room 0105

NHTS Overview and Policy Applications
Daniel Jenkins, Federal Highway Administration

Exploring Shifts in Mobility in the U.S.: An Analysis of Travel Trends Using the NHTS
Stacey Bricka, MacroSys
Mitchell Fisher, MacroSys
Paul Schroeder, Consultant

An Evaluation of the 2022 National Household Travel Surveys: A Total Survey Error Comparison of the ABS vs. the Probability-Based Panel NextGen NHTS Studies
Paul Lavrakas, Consultant
Trent Buskirk, Old Dominion University
Alan Pate, Battelle
Elizabeth Sloan, Battelle
Ta Lui, Battelle
Filmon Habtemichael, Battelle

Unveiling the Roadmap: The Utility and Functionality of NHTS Data Dissemination Tools
C. Ross Wang, Oak Ridge National Laboratory
Layla Sun, MacroSys

Concurrent sessions I
Thursday, October 24
10:30 AM - 12:00 PM

Session I-1: LLMs Unleashed: Revolutionizing Surveys with AI

Organizer: Erin Boon, Bureau of Labor Statistics
Chair: Erin Boon, Bureau of Labor Statistics
Chesapeake A

Automated Abstract Tagging: Enhancing Peer-Reviewed Abstract Categorization with MeSH Ontology and Large Language Models
Michael Long, RTI International
Kate Burdekin, RTI International
Chris Coxen, RTI International
Demian Pasquarelli, RTI International

Detecting LLM-generated Survey Responses
Joshua Lerner, NORC at the University of Chicago
Brandon Sepulvado, NORC at the University of Chicago
Lilian Huang, NORC at the University of Chicago
Ipek Bilgen, NORC at the University of Chicago
Leah Christian, NORC at the University of Chicago

Large Language Models do not Respond like Survey Respondents
Brandon Sepulvado, NORC at the University of Chicago
Joshua Y. Lerner, NORC at the University of Chicago
Lilian Huang, NORC at the University of Chicago
Leah Christian, NORC at the University of Chicago
Ipek Bilgen, NORC at the University of Chicago

UX Design Principles for Integrating Textbots into Surveys
Elizabeth Dean, NORC at the University of Chicago
Soubhik Barari, NORC at the University of Chicago
Brandon Sepulvado, NORC at the University of Chicago
Leah Christian, NORC at the University of Chicago

Session I-2: New Explorations of Disclosure Avoidance Techniques and Applications

Organizer: Jingchen (Monika) Hu, Vassar College
Chair: Saki Kinney, RTI International
Chesapeake B

Exploring the Application of Differential Privacy to a Subset of the Cells of a Table
Habtamu Benecha, National Agricultural Statistics Service
Yang Cheng, National Agricultural Statistics Service
Michael Jacobsen, National Agricultural Statistics Service
John Grant, National Agricultural Statistics Service
Lu Chen, National Agricultural Statistics Service
Luca Sartore, National Agricultural Statistics Service
Valbona Bejleri, National Agricultural Statistics Service

The Unintended Effects of Privacy in Decision Tasks
Ferdinando Fioretto, University of Virginia

Generating Synthetic Data for the National Household Food Acquisition and Purchase Survey: A Case Study
Joseph Rodhouse, Economic Research Service
Jingchen (Monika) Hu, Vassar College

Deploying PETs within Integrated Data Systems: Learnings and Challenges
Stephanie Straus, Georgetown University
Amy O’Hara, Georgetown University

Session I-3: Vital Signs and Data: A Healthy Dose of Analytics

Organizer: Jordan Riddle, Bureau of Transportation Statistics
Chair: Jordan Riddle, Bureau of Transportation Statistics
Chesapeake C

Developing a Cost-effective, Real-Time Surveillance Tool to Monitor Workers’ PPE Concerns During Respiratory Pandemics
Nora Y. Payne, Emily J. Haas, National Institute for Occupational Safety and Health

Enhancing Data Services: Insights from NCHS’ Health Data User Survey
Ryne Paulose, Catherine Lesesne, Dagny Olivares, Amy Branum, Kiana Morris, National Center for Health Statistics

Identifying Stimulant and Opioid Abuse in Clinical Notes
Rihem Badwe, Nikki Adams, National Center for Health Statistics

Session I-4: PANEL: Leading the Federal Statistical System: Today’s Lessons for Tomorrow’s Success

Organizer: Alyssa Holdren, Bureau of Economic Analysis
Chair: Vipin Arora, Bureau of Economic Analysis
Vessey 1

Panelists:

Session I-5: Data Linkages Support Expanded Analyses on Social and Market Factors in the U.S. Health System

Organizer: Alice Zawacki, U.S. Census Bureau
Chair: Alice Zawacki, U.S. Census Bureau
Vessey 2

Linkage of the National Ambulatory Medical Care Survey Health Center Component to U.S. Housing and Urban Development Administrative Data
Jessie L. Parker, Cordell Golden, Jill J. Ashman, Sonja N. Williams, Brian W. Ward, National Center for Health Statistics
A presentation on linking the NAMCS Health Center Component data to HUD administrative data to explore housing-health relationships, including methodology and plans for future linkages.

The Long-Term Decline in Small Firms Offering Health Insurance: Drivers, Dynamics, and Mitigating Policies
Mark K. Meiselbach, Johns Hopkins Bloomberg School of Public Health
An analysis of the decline in small firms offering health insurance and the impact of state policies, particularly minimum wage increases, on health insurance offer rates and enrollment.

Measurement Matters: Corroborating Hospital Surveys with Census Bureau Records
Alice Zawacki, Atul Gupta, Jackson Reimer, U.S. Census Bureau, Wharton School of Business
A study evaluating the accuracy of the American Hospital Association’s Annual Survey by comparing it with data from the Census Bureau’s Longitudinal Business Database and other sources.

Session I-6: Piecing Together the Puzzle: Novel Methods for Missing Data

Organizer: Yan Liu, Internal Revenue Service
Chair: Yan Liu, Internal Revenue Service
Room 0105

A Modular Approach to Survey Editing and Imputation for Agriculture Statistics
Gunnar Ingle, Albert Lee, Nicole Schwartz, Summit Consulting LLC
A modularized solution developed with NASS to automate survey editing and imputation, improving data quality and consistency across USDA’s agricultural surveys.

Enhancing Administrative Tax Record Imputations through Machine Learning: Utilizing Workgroups to Research Machine Learning to Strengthen Production Processes
Kate Willyard, Mark Frame, Jadvir Gill, James HoShek, Amelia Ingram, Ming Ray Liao, Albert Nedelman, Angelica Phillips, Sam Shirazi, U.S. Census Bureau

Exploring the Feasibility of Imputation Techniques for the Commodity Flow Survey (CFS)
Gritiya Tanner, Elizabeth Jeninga, U.S. Census Bureau

Using Historical Cell Means to Generate JOLTS Imputed Data
Mark Crankshaw, Bureau of Labor Statistics

Concurrent sessions J
Thursday, October 24
1:45 AM - 3:15 PM

Session J-1: Keeping AI out of Trouble: Guardrails and Applications for Federal Data

Organizer: Brandon Kopp, Bureau of Labor Statistics
Chair: Brandon Kopp, Bureau of Labor Statistics
Chesapeake A

Chatbot Evaluation: Methods and Challenges
Ruhan Circi, Bhashithe Abeysinghe, American Institutes for Research

Measuring Impact of Artificial Intelligence on the US Federal Government Employees
Ujjayini Das, Srijeeta Mitra, University of Maryland

Considerations for Defining a Framework for Reproducibility in Survey Data Processing
Kiegan Rice, Stas Kolenikov, Amy Ihde, Quentin Brummet, Karen Grigorian, Lauren Seward, NORC at the University of Chicago

Algorithmic Bias: Developing a Multidimensional Framework
Ruhan Circi, Juanita Hicks, American Institutes for Research

Session J-2: Communicating Quality in an Evolving Federal Data Ecosystem

Organizer: John Finamore, National Center for Science and Engineering Statistics
Chair: Mark Xu, IRS Statistics of Income
Discussant: Michael Davern, NORC at the University of Chicago
Chesapeake B

Communicating Quality for Experimental Data Products
Jennifer Hunter Childs, U.S. Census Bureau

Communicating Quality while Building a Privacy-preserving Validation Server
Erika Tyagi, Urban Institute

Building Capacity to Communicate Data Quality: Actions at a Non-statistical Agency
Jacob Malcom, Department of the Interior

Tiers of Quality for Tiers of Access in Privacy-protected Data Products
Joshua Snoke, RAND

Session J-4: The U.S. Federal Statistical System: Why We’re Here, What We Do, Who We Are, and Career Opportunities

Organizer: Bob Sivinski, Office of Homeland Security Statistics
Chair: Karin Orvis, Office of Management and Budget
Discussant: Karin Orvis, Office of Management and Budget
Vessey 1

Introduction to the Federal Statistical System
Karin Orvis, Office of Management and Budget

Government Data of the People, By the People, For the People: Navigating Citizen Privacy Concerns
Claire McKay Bowen, Urban Institute

Unlocking New Insights through Restricted Microdata: 30 Years of Innovative Research from Federal Statistical Research Data Centers
Nate Ramsey, U.S. Census Bureau

How the U.S. Statistical System is Expanding Secure Access for Evidence Building
Emilda Rivers, National Center for Science and Engineering Statistics

Organizer: Alyssa Holdren, Bureau of Economic Analysis
Chair: Alyssa Holdren, Bureau of Economic Analysis
Vessey 2

A Large Scale, High Quality U.S. Occupational Database: Results from Merged IRS and ACS Write-Ins
Carl Sanders, U.S. Census Bureau
Victoria Bryant, Internal Revenue Service
David Grusky, Stanford University
Michael Hout, New York University
Lynda Laughlin, U.S. Census Bureau
Ananda Martin-Caughey, Brown University
Javier Miranda, University of Jena
Kevin Pierce, Internal Revenue Service
Christin Landivar, U.S. Census Bureau
Bryce VanderBerg, U.S. Census Bureau

A Preliminary Study to Evaluate Variance of Blended Index from Establishment Survey and Administrative Data
Daniel Yang, Bureau of Labor Statistics
Daniel Toth, Bureau of Labor Statistics

Non-Random Assignment of Individual Identifiers and Selection into Linked Data: Implications for Research
Kyle Raze, U.S. Census Bureau
Nicole Perales, U.S. Census Bureau
Christin Landivar, U.S. Census Bureau

Salvaging Data from an Incomplete Sample Through Statistical Data Integration
Wendy Van de Kerckhove, Westat
Tom Krenzke, Westat
Benjamin Schneider, Westat

Tax Education is a Form of Wealth Insurance: Linking FFIEC Data, IRS Gig-Ecosystem Data and Digital Divide Data to Identify Tax Education Outreach Needs
Barbara J. Robles, PhD, Federal Reserve Board (Retired)
Caroline Bruckner, American University
Marjorie E. Kornhauser, Tulane University

Session J-6: Asking Good Questions: Survey Instrument Design Considerations

Organizer: Elina T. Page, Economic Research Service
Chair: Elina T. Page, Economic Research Service
Room 0105

CDC’s Youth Risk Behavior Surveillance System and Improved Usefulness of School-based Surveillance Data
Jennifer C. Smith-Grant, Centers for Disease Control and Prevention
Shari Shanklin, Centers for Disease Control and Prevention
Kathleen H. Krause, Centers for Disease Control and Prevention

Developing More Effective Interview Materials for a World with Increasing Telephone Surveys
Ariana Welsh, Bureau of Labor Statistics
Erica Yu, Bureau of Labor Statistics

Do Micro-surveys Get Respondents in the Door?
Elise Christopher, National Center for Education Statistics
Sean Simone, National Center for Education Statistics

What Can Prompt Engineering Learn from Questionnaire Design?
Lilian Huang, NORC at the University of Chicago
Brandon Sepulvado, NORC at the University of Chicago
Elizabeth Dean, NORC at the University of Chicago
Joshua Lerner, NORC at the University of Chicago
Ipek Bilgen, NORC at the University of Chicago
Leah Christian, NORC at the University of Chicago

Concurrent sessions K
Thursday, October 24
3:30 PM – 5:00 PM

Session K-1: Using AI and ML to Improve Data Analytics 2

Organizer: Drake L. Gibson, Department of Homeland Security
Chair: Drake L. Gibson, Department of Homeland Security
Chesapeake A

Advanced Machine Learning Techniques for Tobacco Cessation Prediction in Complex Survey Data: A Case Study Using the PATH Study
Hanxia Li, University of Oklahoma Health Science Center
Sixia Chen, PhD, University of Oklahoma Health Sciences Center

Application of Machine Learning Approaches to Predict Membership in ARMS NOL Frame
Bayazid H. Sarkar, National Agricultural Statistics Service
Peter Quan, National Agricultural Statistics Service
Andrew Dau, National Agricultural Statistics Service

Approaches to Digital Cleaning: Blending Traditional Methods with Crowdsourcing and AI to Clean a Public Sector Establishment Survey Population Frame
Jake Soffronoff, Institute of Museum and Library Services
Matt Sweeney, American Institutes for Research
Ai Rene Ong, American Institutes for Research

Assessing Subjective Probabilistic Expectations in Household Surveys with Audio Records
Nicolás Forteza, Bank of Spain
Javier J. Alonso, Bank of Spain
Laura Crespo, Bank of Spain

Machine Learning Classification of Product Categories in Scanner Data used in the United States Consumer Price Index
Brendan Williams, Bureau of Labor Statistics
Zach Whitford, Bureau of Labor Statistics

Session K-2: Safe Data Technologies: Safely Expanding Access to Administrative Tax Data

Organizer: Claire McKay Bowen, Urban Institute
Chair: Claire McKay Bowen, Urban Institute
Room: Chesapeake B

Synthesizing the Supplemental Synthetic Public Use File
Victoria Bryant, Statistics of Income
Chris Rexrode, Statistics of Income
Derek Gutierrez, Statistics of Income

Developing a Synthetic IRS SOI Public Use File with Tidysynthesis and Syntheval
Gabriel Morrison, Urban Institute
Aaron R. Williams, Urban Institute

Building an Automated Validation Server Prototype
Erika Tyagi, Urban Institute
Silke Taylor, Urban Institute
Graham MacDonald, Urban Institute
Deena Tamaroff, Urban Institute
Josh Miller, Urban Institute
Aaron R. Williams, Urban Institute
Claire McKay Bowen, Urban Institute

But Can You Use It? Design Recommendations for Differentially Private Interactive Systems
Liudas Panavas, Northeastern University
Joshua Snoke, RAND
Claire McKay Bowen, Urban Institute
Aaron R. Williams, Urban Institute
Erika Tyagi, Urban Institute

Session K-3: Recent Methodological Findings and Advances in Probability-based Panel Research

Organizer: Katherine Irimata, National Center for Health Statistics
Chair: Katherine Irimata, National Center for Health Statistics
Chesapeake C

Comparison of Data Quality from Two Online Surveys from the Rapid Surveys System
Bill Cai, National Center for Health Statistics
Katherine Irimata, National Center for Health Statistics
Yulei He, National Center for Health Statistics
Jim Dahlhamer, National Center for Health Statistics
Van Parsons, National Center for Health Statistics
Rong Wei, National Center for Health Statistics

Comparison of Two Data Collection Methodologies from a Web Panel Survey
Rong Wei, National Center for Health Statistics
Katherine Irimata, National Center for Health Statistics
Jim Dahlhamer, National Center for Health Statistics
Van Parsons, National Center for Health Statistics

Testing Proximity of Panel Survey Estimates to Those Produced from a Reference Survey
Van Parsons, National Center for Health Statistics
Yulei He, National Center for Health Statistics

Bias Evaluation for Web Health Surveys, A Sensitivity Analysis Approach
Yulei He, National Center for Health Statistics
Yan Li, University of Maryland
Katherine Irimata, National Center for Health Statistics
Guangyu Zhang, National Center for Health Statistics

Session K-4: The Future of Evidence Act Implementation

Organizer: John Finamore, National Center for Science and Engineering Statistics
Chair: Karin Orvis, Office of Management and Budget
Room: Vessey 1

Fundamental Responsibilities of Recognized Statistical Agencies and Units
Kerrie Leslie, Office of Management and Budget

Expanding Secure Access to CIPSEA Data Assets
Spiro Stefanou, Economic Research Service

Presumption of Data Access for Statistical Agencies and Units
Katy Rother, Office of Management and Budget

Standard Application Process
Heather Madray, National Center for Science and Engineering Statistics

Session K-5: Optimizing Survey Methodologies for Enhanced Data Quality

Organizer: Barbara Downs, U.S. Census Bureau
Chair: Barbara Downs, U.S. Census Bureau
Room: Vessey 2

Analyzing the Impact of Survey Cost Reduction Measures on Data Quality in the Consumer Expenditure Interview Survey
Graham Jones, Bureau of Labor Statistics
Tucker Miller, Bureau of Labor Statistics

Call Me Later, Maybe: Collecting Contact Information and Permission to E-mail, Mail, Call, or Text Survey Respondents
Maura Spiegelman, National Center for Education Statistics
Allison Zotti, U.S. Census Bureau

Evaluating the Accuracy and Efficacy of the Income and Program Screeners in the 2022 Survey of Income and Program Participation
Katy Giefer, U.S. Census Bureau
Adrianne R. Brown, U.S. Census Bureau

Measuring Uncertainty: Bunching and Interviewer Effect in Probabilistic Expectations
Luis Guirola, Bank of Spain
Laura Crespo, Bank of Spain
Carlos Gento, Bank of Spain
Ernesto Villanueva, Bank of Spain

Strategies to Maximize Batch Locating Service Data in Longitudinal Studies using the Survey of Doctorate Recipients
Christopher Wong, NORC at the University of Chicago
Flora Lan, National Center for Science and Engineering Statistics

Session K-6: Shifting into Safer Gear: Data-Driven Strategies in Transportation

Organizer: Stuart Gluck, Federal Railroad Administration
Chair: Stuart Gluck, Federal Railroad Administration
Discussant: Janine McFadden, Federal Railroad Administration
Room: 0105

How to Prioritize Locations for Railroad Safety Inspection Programs
Young-Jun Kweon, Bureau of Transportation Statistics
Jianqiang Ye, Federal Railroad Administration
Ruby Li, Federal Railroad Administration

Improvements in Data Collection and Linkage for Risk Modeling in Railroad Safety Inspection Programs
Andrew LaBounty, Federal Railroad Administration
Patrick Johnson, Federal Railroad Administration
Ruby Li, Federal Railroad Administration
Tony Ye, Federal Railroad Administration

Linking Laboratory Vehicle Test Data and Police Crash Report Data for Evaluating a Vehicle Safety Regulation
Young-Jun Kweon, Bureau of Transportation Statistics

Risk Modeling for Railroad Incidents: Variable Screening, Model Type Selection, Functional Form Suggestion, and Model Development
Young-Jun Kweon, Bureau of Transportation Statistics
Jianqiang Ye, Federal Railroad Administration
Ruby Li, Federal Railroad Administration