on Research on Future Census Methods and staff to the Panel to Review the 2000 Census. He previously assisted the Panel on Estimates of Poverty for Small Geographic Areas. He also directed the Panel on Statistical Methods for Testing and Evaluating Defense Systems. Formerly, he was a mathematical statistician at the Energy Information Administration, an assistant professor in the School of Public Affairs at the University of Maryland, and a visiting lecturer at the Department of Statistics, Princeton University. His general area of research is the use of statistics in public policy, with particular interest in census undercount, model validation, and robust estimation. He has been elected a fellow of the American Statistical Association. He received a B.S. degree in mathematics from the University of Michigan and M.S. and Ph.D. degrees in statistics from Stanford University.

Daniel L. Cork is a program officer for the Committee on National Statistics and responsible staff officer for the Workshop on Survey Automation. He is currently assisting the Panel to Review the 2000 Census and serving as co-study director of the Panel on Research on Future Census Methods. His research interests include quantitative criminology (particularly space-time dynamics in homicide), Bayesian statistics, and statistics in sports. He holds a B.S. degree in statistics from George Washington University and an M.S. in statistics and a joint Ph.D. in statistics and public policy from Carnegie Mellon University.

Mick P. Couper is a senior associate research scientist in the Survey Methodology Program in the Survey Research Center at the University of Michigan, an adjunct associate professor in the Department of Sociology at the University of Michigan, and a research associate professor in the Joint Program in Survey Methodology at the University of Maryland, College Park. He previously worked at the Census Bureau as a visiting researcher from 1992 to 1994. He has published in the areas of survey and census nonresponse and the use of computer technology for data collection. He has a Ph.D. in sociology from Rhodes University in Grahamstown, South Africa.

Patricia J. Doyle is the survey improvement coordinator for the Demographic Directorate at the U.S. Census Bureau. A fellow of the American Statistical Association, she has been working with complex demographic surveys since 1976, concentrating on data base development, documentation, and microsimulation modeling. Most recently she spearheaded the Survey of Income and Program Participation (SIPP) Methods Panel Project, a 5-year project to systematically develop and test an alterna-

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