COMMITTEE ON NATIONAL STATISTICS
(2009-2010)

William Eddy (Chair) Department of Statistics, Carnegie Mellon University	2004-10
Katharine G. Abraham Joint Program in Survey Methodology, University of Maryland	2004-10
Alicia Carriquiry Department of Statistics, Iowa State University	2008-11
William DuMouchel Lincoln Technologies, Inc, Waltham, MA	2009-12
John Haltiwanger Department of Economics, Northwestern University	2004-10
V. Joseph Hotz Department of Economics, Duke University	2009-12
Karen Kafadar Department of Statistics, Indiana University	2009-12
Sallie Keller Rice University’s George R. Brown School of Engineering	2009-11
Lisa Lynch Department of Economics, Brandeis University	2009-11
Douglas S. Massey Department of Sociology and Public Policy, Princeton University	2004-10
Sally C. Morton Statistics and Epidemiology, RTI International	2007-10
Joseph Newhouse Division of Health Policy Research and Education, Harvard University	2009-12
Samuel Preston Population Studies Center, University of Pennsylvania	2005-11
Hal Stern Department of Statistics, University of California, Irvine	2008-11
Roger Tourangeau Joint Program in Survey Methodology, University of Maryland	2007-10
Alan Zaslavsky Department of Health Care Policy, Harvard Medical School	2009-12

William Eddy (chair) is John C. Warner professor of statistics, machine learning, and biological sciences at Carnegie Mellon University. He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics; a past member of the Board of Directors of the American Statistical Association and the American Federation of Information Processing Societies; and a member of the International Association for Statistical Computing, and the International Statistical Institute. In addition to serving on the Committee on National Statistics, he has been a member of several CNSTAT panels, the Committee on Applied and Theoretical Statistics (chair), and the Committee on Assessing the Feasibility, Accuracy, and Technical Capability of a National Ballistics Database. He has done consulting work for Merck & Co., the Energy Information Administration, Bell Communications Research, and the National Institutes of Health, among other clients. He holds a Ph.D. in statistics from Yale University.

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Katharine G. Abraham is professor of survey methodology and adjunct professor of economics at the University of Maryland. She was commissioner of the Bureau of Labor Statistics from 1993 to 2001. Prior to her tenure at the BLS, she taught at the University of Maryland and the Sloan School of Management at the Massachusetts Institute of Technology, and was a research associate at the Brookings Institution. She is a research associate of the National Bureau of Economic Research and a member of the American Economic Association, the National Association for Business Economics, the Industrial Relations Research Association, and the Committee on the Status of Women in the Economics Profession. She chaired the CNSTAT panel on the design of nonmarket accounts. She received her Ph.D. in economics from Harvard University. Iowa State University awarded her an honorary doctorate in 2002.

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Alicia Carriquiry is Professor of Statistics at Iowa State University. Between January of 2000 and July of 2004 she was Associate Provost at Iowa State. Her research interests are in Bayesian statistics and general methods. Her recent work focuses on nutrition and dietary assessment, as well as on problems in genomics, forensic sciences and traffic safety.

Dr. Carriquiry is an elected Member of the International Statistical Institute and a Fellow of the American Statistical Association. She serves on the Executive Committee of the Institute of Mathematical Statistics and has been a member of the Board of Trustees of the National Institute of Statistical Sciences since 1997. She is also a past president of the International Society for Bayesian Analysis (ISBA) and a past member of the Board of the Plant Sciences Institute at Iowa State University. Dr. Carriquiry is Editor of Statistical Sciences and of Bayesian Analysis, and serves on the editorial boards of several Latin American journals of statistics and mathematics.

She has served on three National Academies committees: the Subcommittee on Interpretation and Uses of Dietary Reference Intakes; the Committee on Evaluation of USDA's Methodology for Estimating Eligibility and Participation for the WIC Program; and the Committee on Third Party Toxicity Research with Human Research Participants. Currently, she is a member of the standing Committee on Applied and Theoretical Statistics, the Committee on Assessing the Feasibility, Accuracy, and Technical Capability of a Ballistics National Database, and the Committee on Gender Differences in the Careers of Science, Mathematics and Engineering Faculty. She is a member of the Federal Steering Committee on Future Directions for the CSFII/NHANES Diet/Nutrition Survey: What We Eat in America. Carriquiry received an M.Sc. in animal science from the University of Illinois, and an M.Sc. in statistics and a Ph.D. in statistics and animal genetics from Iowa State University.

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William DuMouchel is vice president and chief research statistical scientist at Lincoln Technologies.  He received his Ph.D. in statistics from Yale University.  He has served on the Committee on Privacy and Technical Aspects of Information for Terrorism Prevention and Other Goals; the Committee on Applied and Theoretical Statistics; and the Committee on Postmarket Surveillance of Pediatric Medical Devices.  Dr. DuMouchel previously served Lincoln Technologies as Director and Senior Advisor. Dr. DuMouchel has held both industry and academic appointments, most recently as senior statistician at AT&T Labs-Research. He was Professor of Biostatistics and Medical Informatics at Columbia University from 1994 to 1996, and from 1987 to 1992 was Chief Statistical Scientist at Bolt Beranek Newman, Inc. Dr. DuMouchel has also served on the faculties of the University of California at Berkeley, the University of Michigan, and the Massachusetts Institute of Technology

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John Haltiwanger is a professor of economics at the University of Maryland.  Previously, he served as chief economist at the Census Bureau.  He currently serves as a research associate at the Center for Economic Studies at the Census Bureau and at the National Bureau of Economic Research.  His recent research has exploited the newly created longitudinal establishment and employer-employee matched data bases that have been developed at the Census Bureau.  This research centers on the process of job and worker reallocation, retooling and restructuring in the U.S. economy, and the connection of these factors to the business cycle and productivity growth.  He received his Sc.B. in applied mathematics-economics from Brown University and his Ph.D. in economics from The Johns Hopkins University.  He is the author of the books Job Creation and Destruction and Labor Statistics Measurement Issues. He is a member of the American Economic Association, Econometric Society, and the American Statistical Association.  He serves on the editorial board of Small Business Economics, the Journal of Evolutionary Economics, and the Journal of Macroeconomics.

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V. Joseph Hotz is professor of economics at Duke University. Previously, he served as professor and chair of the Department of Economics at the University of California, Los Angeles. He also served as chair, Oversight Board, California Census Research Data Center, and is a research associate of the National Bureau of Economic Research and the California Center for Population Research and a research affiliate of the Institute for Research on Poverty and the National Poverty Center. Dr. Hotz received his Ph.D. in economics from the University of Wisconsin. His research interests are in labor economics, economic demography, and evaluation of the impact of social programs. Dr. Hotz has served on several CNSTAT panels, including those on the Census Bureau’s Re-engineered SIPP, and Access to Research Data: Balancing Risks and Opportunities.

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Karen Kafadar is Rudy Professor of Statistics and Physics at Indiana University. She received her B.S. and M.S. degrees from Stanford and her Ph.D. in Statistics from Princeton under John Tukey. Her research focuses on exploratory data analysis, robust methods, characterization of uncertainty in quantitative studies, and analysis of experimental data in the physical, chemical, biological, and engineering sciences. Prior to Indiana University, she was Professor and Chancellor's Scholar in the Departments of Mathematical Sciences and Preventive Medicine & Biometrics at the University of Colorado-Denver; Fellow at the National Cancer Institute (Cancer screening section); and Mathematical Statistician at Hewlett Packard Company (R&D laboratory for RF/Microwave test equipment) and at National Institute of Standards and Technology (where she continues as Guest Faculty Visitor on problems of measurement accuracy, experimental design, and data analysis). Previous engagements include consultancies in industry and government as well as visiting appointments at University of Bath, Virginia Tech, and Iowa State University. She has served on previous NRC committees and also on the editorial review boards for several professional journals as Editor or Associate Editor and on the governing boards for the American Statistical Association, the Institute of Mathematical Statistics, and the International Statistical Institute. She is an Elected Fellow of the American Statistical Association and the International Statistical Institute, and has authored over 80 journal articles and book chapters, and has advised numerous M.S. and Ph.D. students.

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Sallie Keller is dean of Rice University's George R. Brown School of Engineering.  She previously headed the Statistical Sciences Group at Los Alamos National Laboratory, where she led a wide range of R&D projects on model validation, reliability, defense analysis, and other topics.  Before moving to Los Alamos, Dr. Keller was professor and director of graduate studies at the Department of Statistics, Kansas State University, where she had been on the faculty since 1985.  She spent 1994-1996 as a program officer in NSF's Division of Mathematical Sciences.  Her ongoing areas of research focus on computational and graphical statistics applied to statistical databases, including complex data/model integration and related software and modeling techniques, and she is an expert in the area of data access.  She has served on the Information Technology panel of the National Institute of Standards and Technology Board (2001-2004); the Committee on National Statistics’ Panel on Research for Future Census Methods (1999-2004); the Board on Mathematical Sciences and their Applications (2000-2003); the Committee on Applied and Theoretical Statistics (Chair, 2000-2003); and the Computer Science and Telecommunications Board’s Committee on Computing and Communications Research to Enable Better Use of Information Technology in Government (1998-2002).  She is a national associate of the National Academy of Sciences and fellow of the American Association for the Advancement of Science. She received her Ph.D. in statistics from Iowa State University of Science and Technology.  She is a fellow of the American Statistical Association (ASA) and has held several positions within the ASA, including, president.  She is an associate editor of Statistical Science and has served as associate editor of the Journal of Computational and Graphical Statistics and the Journal of the American Statistical Association.  She served on the executive committee of the National Institute of Statistical Sciences, on the executive committee of AAAS Section U, and chairs the Committee of Presidents of Statistical Societies. 

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Lisa Lynch is dean and professor of economics at the Heller School for Social Policy and Management, Brandeis University.  From 1995-1997 she was the chief economist at the U.S. Department of Labor, and she has been a faculty member at Tufts University, M.I.T., The Ohio State University, and the University of Bristol.  She is currently chair of the Board of Directors of the Boston Federal Reserve Bank, member of the Governor's Council of Economic Advisors for the Commonwealth of Massachusetts, and a member of the executive board of the Labor and Employment Relations Association.  She is also a research associate at the National Bureau of Economic Research, the Economic Policy Institute, and IZA in Bonn, Germany.  She has published extensively on such issues as the impact of technological change and organizational innovation (especially training) on productivity and wages, the determinants of youth unemployment, and the school to work transition.  She served on the CNSTAT Panel on Measuring Business Formation, Dynamics, and Performance (co-chair) and the PGA Committee Toward Improved International Labor Standards: Data, Monitoring, and Compliance.  She holds M.Sc. and Ph.D. degrees from the London School of Economics and Political Science.

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Douglas S. Massey is Henry G. Bryant professor of sociology and public affairs at Princeton University. He is president of the American Academy of Political and Social Science and an elected member of the American Academy of Arts and Sciences, the American Philosophical Society, the American Sociological Association, the Population Association of America, and the Sociological Research Association. He was elected to the National Academy of Sciences in 1998, and has served on the Committee on Population, the Panel on Methods for Assessing Discrimination, and the Panel on Population Projections. He is principal investigator of a grant from the National Institute of Child Health and Human Development on Public Use Data on Mexican Immigration and a grant from the Andrew W. Mellon Foundation on the National Longitudinal Survey of Freshmen at Selective Colleges and Universities.

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Sally Morton is vice president for statistics and epidemiology at RTI International, and is an adjunct professor in the Department of Biostatistics at the University of North Carolina at Chapel Hill. She is the 2008 president-elect of the American Statistical Association. Previously, she was head of the RAND Corporation Statistics Group and held the RAND endowed chair in statistics. From 1997 to 2005, she was co-director of the Southern California Evidence-based Practice Center. Her methodological interests include the use of meta-analysis in evidence-based medicine, the sampling of vulnerable populations, and statistical methods for health services research. She is an editor of Statistical Science and served as an associate editor for the Journal of the American Statistical Association and the Journal of Computational and Graphical Statistical. Dr. Morton is a fellow of the American Statistical Association and of the American Association for the Advancement of Science.

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Joseph Newhouse is John D. MacArthur professor of health policy and management, Malcolm Wiener Center for Social Policy, Kennedy School of Government, Harvard University. He is a faculty research associate of the National Bureau of Economic Research. He received a Ph.D. degree in economics from Harvard University. Dr. Newhouse spent the first twenty years of his career at RAND, where he designed and directed the RAND Health Insurance Experiment, a project that ran from 1971 to 1988 that studied the consequences of different ways of financing medical services. From 1981 to 1985 he was head of the RAND Economics Department. His expertise is in health care financing, health research policy, health services research, health care quality and outcomes, and general health economics. Dr. Newhouse is a member of the Institute of Medicine and chairs CNSTAT’s Panel to Oversee a Research Program on the Design of National Accounts.

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Samuel H. Preston is Fredrick J. Warren professor of demography in the Population Studies Center at the University of Pennsylvania. He is a member of the National Academy of Sciences, the Institute of Medicine, and the American Philosophical Society and a fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science, and the American Statistical Association. He was president of the Population Association of America in 1984. At the National Academies, he has served on numerous committees and panels, including the Report Review Committee, the Committee on Population, and the Committee on Science, Engineering, and Public Policy, as well as ones on international graduate students and postdoctoral scholars in the United States, retirement income modeling, vitamin A deficiency prevention and control, and population growth and economic development. He is the recipient of a grant from the Population Aging Research Center/Boettner Institute to study changing sex differentials in mortality at older ages in the United States. His research has touched on a number of controversial topics, including the economic consequences of population growth, the relative well-being of children and the elderly, and the health hazards of cigarette smoking (and was attacked by the tobacco industry). He has testified before Congress in favor of census adjustment and still favors a form of it.

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Hal Stern is a Professor and Founding Chair of Statistics at the University of California at Irvine. Prior to joining the Irvine faculty in 2002, he held academic appointments at Iowa State University and Harvard University. An expert in Bayesian modeling and techniques, he is coauthor of Bayesian Data Analysis. A fellow of the American Statistical Association, he has served as editor of the association’s magazine, Chance, and as chair of the association’s section on Bayesian science and the section on statistics in sports. He has M.S. and Ph.D. degrees from Stanford University. Dr. Stern currently serves on: Panel to Assess the Benefits of the American Community Survey for the NSF Science Resources Statistics Division; Panel for Information Technology. He previously served on: Panel on the Functionality and Usability of Data from the American Community Survey; Panel to Evaluate the Interim Armored Vehicle (Stryker).

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Roger Tourangeau is director of the Joint Program in Survey Methodology at the University of Maryland and a senior research scientist at the University of Michigan.  He has been a survey researcher for more than 20 years.  His research focuses on attitude and opinion measurement and on differences across methods of data collection; he also has extensive experience as an applied sampler. Dr. Tourangeau is well known for his work on the cognitive aspects of survey methodology and is the lead author of The Psychology of Survey Responses (2000, Cambridge University Press).  Before joining JPSM and SRC, he was a senior methodologist at the Gallup Organization, where he designed and selected samples and carried out methodological studies.  Before that, he was at the National Opinion Research Center, where he founded and directed the Statistics and Methodology Center. There he carried out methodological studies and developed and executed sample designs for many federal and academic surveys.  Named a fellow of the American Statistical Association in 1999, he has served on the editorial board of Public Opinion Quarterly and on the Census Joint Advisory Panel as member and later chair of the ASA Subcommittee. He has a Ph.D. in psychology from Yale University.

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Alan Zaslavsky is professor of statistics in the Department of Health Care Policy, Harvard Medical School.  He has served on the Panel on Coverage Measurement, the Panel to Evaluate Alternative Census Methods, the Panel on Alternative Census Methodologies, the Panel on Estimates of Poverty for Small Geographic Areas, the Committee on the National Quality Report on Health Care Delivery (IOM), the Panel on Research on Future Census Methods, and the Panel on DHHS Collection of Race and Ethnicity Data.  He is a fellow of the American Statistical Association.  He is an expert in survey methodology, missing data methods, and census methodology. He received his Ph.D. in applied mathematics (statistics specialty) from the Massachusetts Institute of Technology in 1989, his M.S. in mathematics (statistics and computer science specialties) from Northeastern University in 1984, and his A.B. from Harvard College (government) in 1969.

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