Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science in the Department of Statistics, the Machine Learning Department and Cylab at Carnegie Mellon University. His work includes the development of statistical methods, especially tools for categorical data analysis. He has also had a longstanding interest in large-scale sample surveys, including the study of non-sampling errors, the use of surveys to adjust census results for differential undercount, cognitive aspects of the design of survey questionnaires, statistical analysis of data from longitudinal surveys, and formal parallels in the design and analysis of sample surveys and randomized experiments. A recent book (with Margo Anderson), Who Counts?, chronicles the story of the 1990 census and efforts to use sampling to adjust census results for differential undercount. His work on confidentiality and disclosure limitation addresses issues related to respondent privacy in both surveys and censuses and to categorical data analysis. In the analysis of data from longitudinal studies of disability, such as the National Long Term Care Survey (NLTCS), a number of authors have used novel statistical methodology based on what has come to be known as the Grade of Membership (GoM) model.

Working with students and colleagues, Dr. Fienberg has been exploring new ways to work with the GoM model and generalizations of it, and they have applied their approaches not only to the NLTCS but also to the classification of and linkages among scientific publications. He has also been active in the application of statistical methods to legal problems and in assessing the appropriateness of statistical testimony in legal cases, and has linked interests in Bayesian decision making to the issues of legal decision making. Of related interest is the report of the NAS-NRC Committee to Review the Scientific Evidence on the Polygraph. Professor Fienberg's work on statistical methods for multiple-media data (including data in the form of pictures, images, video, sound, symbols, and text) and on disclosure limitation is part of a larger research effort taking place in Carnegie Mellon's Center for Automated Learning and Discovery and its Center for Computer and Communications Security.

Professor Fienberg is a member of the Division of Behavioral and Social Sciences and Education, National Research Council; a Past President of the Institute of Mathematical Statistics and the International Society for Bayesian Analysis; Editorial Board member for the Journal of Quantitative Criminology, Philosophia Mathematica, and Research on Official Statistics; co-editor for the section on statistics of the International Encyclopedia of the Social and Behavioral Sciences; and elected member of the National Academy of Sciences (1999). His recent publications include Discrete Multivariate Analysis: Theory and Practice, which he co-authored, and a reprint of his 1980 book, The Analysis of Cross-classified Categorical Data.