Statistics in the Public Interest

Section 1: Theory and Methods for Categorical Data: Introduction to Section 1: Theory and Methods for Categorical Data(Eddy).- Prediction for Categorical Data (Wasserman).- Capture-Recapture for Casualty Estimation and Beyond: Recent Advances and Research DirectionsDaniel (Manrique-Vallier).- Algebraic statistics, tables, and networks: The Fienberg advantage (Petrovi´c).- Section 2: Theory and Application of Bayesian Methods: Introduction to Section 2: Bayesian Theory and Applications (Carriquiry).- Colorful Stars and Black Boxes: Bayesian Analysis of Stellar Populations (Meng).- The Ways of Bayes (In memory of Stephen Fienberg) (Louis).- Probability Forecasts and Prediction Markets (Mortera).- Determinantal Priors for Variable Selection (Rockova).- Section 3: Statistics and the Law: Introduction to Section 3: Statistics and the Law (Eddy).- Bayes and the Law (Kadane).- Statistical Considerations for the Analysis and Interpretation of Forensic Evidence (Stern).- Differences between Bayes Factors and Likelihood Ratios for Quantifying the Forensic Value of Evidence (Ommen).- Statistical Issues in Assessing the Reliability of Eyewitness Identification (Kafadar).- Section 4: Causal Analysis : Introduction to Section 4: Causal Analysis (Carriquiry).- Causes of Effects and Effects of Causes(Cuellar).- What Can Group Level Data Tell Us About Individual Causality? (Musio).- Evidence to Guide Decision Making in Clinical Medicine (Singer).- What Can Policies Do and How Can Social Science Help? (Bradburn).- Section 5: Surveys and Censuses: Introduction to Section 5: Surveys and Census (Tanur).- Multiple Imputation for Nonignorable Item Nonresponse in Complex Surveys Using Auxiliary Margins (Reiter).- Insights into the Decision on Whether to Statistically Adjust the 2000 Census for Coverage Errors (Thompson).- 2030 -- A Sensible Census, In Reach (Prewitt).- Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy (Slavkovic).- Section6:

Alicia Carriquiry was born in Montevideo, Uruguay.  Since 1990, she has been on the faculty in the Department of Statistics at Iowa State University. She is currently Distinguished Professor of Liberal Arts and Sciences, holds the President's Chair in Statistics, and is Director of the Center for Statistics and Applications in Forensic Evidence (CSAFE), a federally funded research center. Alicia is an Elected Member of the National Academy of Medicine, a Fellow of the American Statistical Association, a Fellow of the Institute of Mathematical Statistics, a Fellow of the International Society for Bayesian Analysis, a Fellow of the American Association for the Advancement of Science, and an elected member of the International Statistical Institute.  She was named Technical Advisor for the Association of Firearm and Toolmark Examiners in 2018 and was elected to the American Academy of Forensic Sciences as an Associate Member in 2020. Alicia's research interests include measurement error modeling, survey sampling and Bayesian methods. In recent years, she has become interested in statistical learning algorithms and their application in various disciplines, in particular in forensic science and criminal justice.  Alicia met Steve while she was still a doctoral student, and she could always count on him for friendship, good advice, and mentoring. He was a close and trusted friend to her for almost 30 years.
Judith M. Tanur is Distinguished Teaching Professor Emerita, Department of Sociology, at Stony Brook University. She is a Fellow of the American Statistical Association, and the  American Association for the Advancement of Science, and the Association for Psychological Science, an elected member of International Statistical Institute, and recipient of ASA's Founders' Award. Tanur was a member of the Committee on National Statistics of the National Research Council, chairing its Advanced Research Seminar on Cognitive Aspects of Survey