What’s Old Is New Again: Looking Back (in the AI Era) on Statistical Considerations from My First RAND Project
Susan Paddock, executive vice president and chief scientist NORC, University of Chicago
May 13, 2026
RAND Statistics Seminar Series
The RAND Statistics Group holds periodic seminars that are open to all RAND employees and members of the public. The chair of the seminar series is Elizabeth Chase.
Contact Cheryl Patalano if you would like to meet with any of the speakers or request a paper.
Upcoming Seminars
Past Seminars
The Learning Health Care System, How Can Statisticians Contribute?
John Adams, professor of health systems science in the Kaiser Permanente Bernard J. Tyson School of Medicine.
March 25, 2026
Statistics and its Application in Forensic Science and the Criminal Justice System
Alicia Carriquiry, Distinguished Professor and President's Chair in Statistics and Director of the Center for Statistics and Applications in Forensic Evidence (CSAFE), Iowa State University
January 14, 2026
Using Transfer Learning to Detect Populist Rhetoric Across 25 Languages Without Translation
Christopher Lucas, Associate Professor, Washington University in St. Louis
November 19, 2025
An Examination of Migration in Afghanistan
Xiao Hui Tai, Assistant Professor, University of California, Davis
October 22, 2025
The Future of Standardized Assessment: Will It Be More AI Generating Testing, AI Scoring Tests, and AI Taking Tests?
Daniel McCaffrey, Frederic Lord Chair of Measurement and Statistics in the ETS Research Institute
May 21, 2025
Quantifying Heterogeneity in the Causal Impact of Abortion Restrictions
Alex Franks, University of California Santa Barbara
April 23, 2025
Normatively Backwards Rubric Scoring: Evidence from NIH Peer Review
Presented by Elena Erosheva, University of Washington
April 2, 2025
An Introduction to Spatial Privacy and a Constrained Jittering Approach
Presented by Claire Kelling, Carleton College
December 18, 2024
Bayesian Transfer Learning for Improving Mortality Metrics in Low-and-Middle-Income Countries Using Multi-Fidelity Cause-of-Death Data
Presented by Abhirup Datta, Johns Hopkins University
November 20, 2024
A Microsimulation-Based Framework for Mitigating Societal Bias in Primary Care Data
Presented by Agata Forciarz, Stanford University
October 9, 2024
Leveraging National Cancer Surveillance Data to Study Racial Disparities in Cancer Mortality
Presented by Fatema Shafie Khorassani, Boston University School of Public Health
May 29, 2024
Doubly Robust Capture-Recapture Methods for Estimating Population Size
Presented by Edward Kennedy, Carnegie Mellon University
April 23, 2024
Text Analytics and Data Acumen
Presented by Nicholas Horton, Amherst College
March 20, 2024
Bayesian Methods for Vaccine Safety Surveillance Using Federated Data Sources
Presented by Fan Bu, UCLA
November 29, 2023
Simpler Machine Learning Models for a Complicated World
Presented by Cynthia Rudin, Duke University
November 8, 2023
Scenarios of Socio-Economic Development, Future Emissions and Climatic Changes
Presented by Claudia Tebaldi, Joint Global Change Research Institute
September 20, 2023
Hierarchical Bayesian Modeling of Age-specific COVID-19 Infection Fatality Rates in Developing Countries
Presented by Bailey Fosdick, Colorado School of Public Health
April 19, 2023
Statistics Short Course
Presented by Marc Elliott, RAND
April 12 and 14, 2023
Estimating Cumulative Spatial Risk Over Time and Extending Chemical Mixture Analysis in a Bayesian Framework
Presented by Joseph Boyle, Virginia Commonwealth University
March 22, 2023
Evaluating the Effect of Sugar Sweetened Beverage Tax in California by Electronic Health Record Data
Presented by Bing Han, Kaiser Permanente
December 14, 2022
Domain Adaptation Under Causally Structured Distribution Shifts
Presented by Zack Lipton, Carnegie Mellon University and Amazon AI
November 16, 2022
Private Tabular Survey Data Products Through Synthetic Microdata Generation
Presented by Jingchen (Monika) Hu, Vassar College, Statistics
June 15, 2022
Bayesian Nonparametric Estimation of Community-Level Homeless Rates
Presented by Chris Glynn, Zillow Group
May 25, 2022
Cluster Randomized Trials
Presented by Laura Balzer, UMass, Biostatistics
April 20, 2022
Estimating Citizen Voting Age Population Using Data from Multiple Sources: A Latent-Class Approach
Presented by Joseph L. Schafer, U.S. Census Bureau
November 17, 2021
Heterogeneous Causal Effects of Neighborhood Policing in New York City with Staggered Adoption of the Policy
Presented by Joseph Antonelli, University of Florida
October 20, 2021
Rerandomization to Balance Covariates in Experiments
Presented by Kari Lock Morgan, Penn State University
May 19, 2021
Nonparametric Causal Effects Based on Incremental Propensity Score Interventions
Presented by Edward Kennedy, Carnegie Mellon University
April 14, 2021
Underspecification Presents Challenges for Modern Machine Learning
Presented by Alexander D’Amour, Google
March 17, 2021
The Extraordinary Impact of Collaboration in Statistics and Data Science
Presented by Eric Vance, University of Colorado Boulder
February 24, 2021
Lessons Learned From the First Year in AI For Good
Presented by Juan M. Lavista Ferres
December 2, 2020
Shared Parameter Mixed-Effects Location Scale Models for Intensive Longitudinal Data
Presented by Don Hedeker, University of Chicago
October 28, 2020
Modern Benchmarking and the Search for Unusual Hospitals, Communities, and Cops
Presented by Greg Ridgeway, University of Pennsylvania
September 30, 2020
Seminar listings more than five years old have been archived.