Paul Parker (U.S. Bureau of the Census Dissertation Fellow), University of California, Santa Cruz, "Computationally Efficient Bayesian Unit-Level Modeling of Non-Gaussian and Complex Survey Data under Informative Sampling," October 12, 2021.

Jun Shao, University of Wisconsin, Madison/U.S. Bureau of the Census, "Analysis with External Information," November 1, 2021.

Tucker McElroy, U.S. Bureau of the Census, “Inference and Prediction for Quadratic Processes,” November 9, 2021.

Rebecca Steorts, Duke University/U.S. Bureau of the Census, "Entity Resolution with Societal Impacts in Statistical Survey Methodology, Statistical Science, and Machine Learning," November 15, 2021.

Joseph Kang, U.S. Bureau of the Census, “Causal Inference with Topic Model-Driven Textual Data,” November 17, 2021.

Esther Rolf, University of California, Berkeley, "MOSAIKS: A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery, with Application to ACS," November 30, 2021.

Michelle Nixon (U.S. Census Bureau Dissertation Fellow), The Pennsylvania State University, "A Latent Class Modeling Approach for Generating Synthetic Data and Making Posterior Inferences from Differentially Private Counts," February 15, 2022.

Wendy Martinez, Bureau of Labor Statistics, "Ethical Data Science," March 29, 2022.

Ryan Janicki, U.S. Bureau of the Census, “Bayesian Nonparametric Multivariate Spatial Mixture Effects Models with Application to American Community Survey Special Tabulations," August 31, 2022.

Tommy Wright, U.S. Bureau of the Census, “Ranking," September 1, 2022.

Bimal Sinha, University of Maryland, Baltimore County/U.S. Bureau of the Census, “About a Common Mean Vector from Several Independent Multinormal Populations with Unequal and Unknown Dispersion Matrices," September 13, 2022.