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Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy (2017)

Chapter:Appendix B: Biographical Sketches of Panel Members and Staff

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Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×

Appendix B

Biographical Sketches of Panel Members and Staff

Robert M. Groves (Chair) is provost, Gerard Campbell professor in the Department of Mathematics and Statistics, and a professor in the Department of Sociology, all at Georgetown University. His research focuses on the effects of the mode of data collection on responses in sample surveys, the social and political influences on survey participation, the use of adaptive research designs to improve the cost and error properties of statistics, and how public concerns about privacy affect attitudes toward statistical agencies. Previously, he served as director of the U.S. Census Bureau, director of the University of Michigan Survey Research Center, and research professor at the Joint Program in Survey Methodology at the University of Maryland. He is an elected member of the National Academy of Sciences, the National Academy of Medicine, the American Academy of Arts and Sciences, and the International Statistical Institute and an elected fellow of the American Statistical Association. His 1989 book, Survey Errors and Survey Costs, was named one of the 50 most influential books in survey research by the American Association of Public Opinion Research. He has a bachelor’s degree from Dartmouth College, a master’s degrees in statistics and sociology from the University of Michigan, and a doctorate from the University of Michigan.

Michael E. Chernew is a professor of health care policy in the Department of Health Care Policy at Harvard Medical School. He is also a research associate of the National Bureau of Economic Research. His research examines areas related to controlling health care spending growth while maintaining or improving the quality of care, including consumer incentives to

Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×

align patient cost sharing with clinical value. Related research examines the effects of changes in Medicare Advantage payment rates as well as the causes and consequences of rising health care spending and geographic variation in spending, spending growth, and quality. He is a member of the Medicare Payment Advisory Commission (MedPAC), an independent agency that advises Congress. He is a recipient of the John D. Thompson Prize for Young Investigators given by the Association of University Programs in Public Health and of the Alice S. Hersh Young Investigator Award from the Association of Health Services Research. He has a B.A. from the University of Pennsylvania and a Ph.D. in economics from Stanford University.

Piet Daas is a senior methodologist in the Department of Corporate Services, Information Technology, and Methodology and a data scientist in the Center for Big Data Statistics of Statistics Netherlands. His work focuses on the use of secondary (nonsurvey) data for official statistical purposes, which began with the use of administrative data, and more recently has focused on studies in which Internet and other big data sources are used for official statistics. At Statistics Netherlands he is a member of the big data core team, which oversees all big data activities of production, information technology, research, management and training. He teaches the big data component of the European Master of Official Statistics track at the University of Utrecht, is involved in the big data courses of the European Statistical Training Programme, and is a member of the team organizing DataCamps (“hackatons”) at the University of Twente. He is active in various European, United Nations, and U.N. Economic Commission for Europe big data initiatives. He has an M.S. and a Ph.D. in the natural sciences with honors from the University of Nijmegen in the Netherlands.

Cynthia Dwork, on leave from Microsoft Research, is the Gordon McKay professor of computer science at the John A. Paulson School of Engineering and Applied Sciences and a Radcliffe alumnae professor at the Radcliffe Institute for Advanced Study, both at Harvard University. Her work focuses on placing privacy-preserving data analysis on a mathematically rigorous foundation: a cornerstone of this work is differential privacy, a strong privacy guarantee frequently permitting highly accurate data analysis. She also does work in cryptography and distributed computing, including work on the first public-key cryptosystem for which breaking a random instance is as hard as solving the hardest instance of the underlying mathematical problem on combating e-mail spam by requiring a proof of computational effort (the technology that underlies hashcash and bitcoin). She is a recipient of the PET Award for Outstanding Research in Privacy Enhancing Technologies given by Microsoft and of the Edsger W. Dijkstra Prize, awarded

Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×

jointly by the ACM Symposium on Principles of Distributed Computing of the Association for Computing Machinery and the European Association for Theoretical Computer Science (EATCS) Symposium on Distributed Computing. She is a member of the National Academy of Sciences and the National Academy of Engineering and a fellow of the American Academy of Arts and Sciences. She has a B.S.E. from Princeton University and a Ph.D. from Cornell University.

Ophir Frieder is the Robert L. McDevitt, K.S.G., K.C.H.S. and Catherine H. McDevitt L.C.H.S. chair in computer science and information processing at Georgetown University. He is also a professor of biostatistics, bioinformatics, and biomathematics in the Georgetown University Medical Center and the chief scientific offer for UMBRA Health Corporation. He previously served as chair of the Department of Computer Science at Georgetown University. His research interests focus on scalable information retrieval systems spanning search and retrieval and communications issues in multiple domains, systems that are deployed worldwide in commercial and governmental production environments. He is a fellow of the American Association for the Advancement of Science, the Association for Computing Machinery, the Institute of Electrical and Electronics Engineers, and the National Academy of Inventors.

Brian Harris-Kojetin (Study Director) is deputy director of the Committee on National Statistics and served as the study director for this project. Previously, he worked at the U.S. Office of Management and Budget (OMB), where he served as a senior statistician in the Statistical and Science Policy Office. He chaired the Federal Committee on Statistical Methodology and was the lead at OMB on issues related to standards for statistical surveys, survey nonresponse, measurement of race and ethnicity, and confidentiality of statistical data. He also previously was senior project leader of research standards and practices at the Arbitron Company and a research psychologist in the Office of Survey Methods Research in the Bureau of Labor Statistics. He is a fellow of the American Statistical Association. He has a B.A. from the University of Denver and a Ph.D. from the University of Minnesota.

H.V. Jagadish is the Bernard A. Galler collegiate professor of electrical engineering and computer science and distinguished scientist at the Institute for Data Science at the University of Michigan in Ann Arbor. Previously, he was head of the Database Research Department at AT&T Labs in Florham Park, New Jersey. He works widely in information management and holds numerous patents in the field. He is a fellow of the Association for Computing Machinery (ACM), serves on the board of the Computing Research

Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×

Association, and was a trustee of the VLDB (very large database) Foundation. He is a recipient of the SIGMOD Contributions Award from ACM and of the David E. Liddle Research Excellence Award from the University of Michigan. He has a B.Tech. from the Indian Institute of Technology, Delhi, and an M.S. and a Ph.D. from Stanford University, all in electrical engineering.

Frauke Kreuter is director of the Joint Program in Survey Methodology at the University of Maryland, professor of statistics and methodology at the University of Mannheim, Germany, and head of the statistical methods group at the German Institute for Employment Research. She is also affiliated with the Maryland Population Research Center and the Institute for Social Research in Michigan. Previously, she held positions at the Institute for Statistics at the Ludwig-Maximilians University in Munich, Germany, and in the Department of Statistics at the University of California, Los Angeles. Her research focuses on nonresponse errors, paradata and responsive designs, record linkage, and, recently, issues of linkage consent and generalizability for nonprobability samples. She is an elected fellow of the American Statistical Association and a recipient of the Gertrude M. Cox Statistics Award from the Washington Statistical Society. She serves on the advisory boards of Statistics Canada, Statistics Sweden, and the U.S. Energy Information Association. She has a B.A. and an M.A. from the University of Mannheim and a Ph.D. from the University of Konstanz in Germany.

Sharon Lohr is a vice president and senior statistician at Westat in Rockville, Maryland. Previously, she was dean’s distinguished professor of statistics at Arizona State University. Her research has focused on survey sampling, hierarchical models, small-area estimation, missing data, and design of experiments. She is a fellow of the American Statistical Association and an elected member of the International Statistical Institute. She was the inaugural recipient of the Washington Statistical Society’s Gertrude M. Cox Statistics Award for contributions to the practice of statistics and a recipient of the society’s Morris Hansen Lecture Award. She was recently selected to present the Deming Lecture at the Joint Statistical Meetings. She has a Ph.D. in statistics from the University of Wisconsin–Madison.

James P. Lynch is professor and chair of the Department of Criminology and Criminal Justice at the University of Maryland. Previously, he served as director of the Bureau of Justice Statistics at the U.S. Department of Justice and was a distinguished professor in the Department of Criminal Justice at John Jay College of the City University of New York. He also previously was a professor in and chair of the Department of Justice, Law and Society at American University. His research focuses on victim surveys, victimiza-

Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×

tion risk, the role of coercion in social control, and crime statistics. He has been vice president of the American Society of Criminology and served on the Committee on Law and Justice Statistics of the American Statistical Association. He has a B.A. from Wesleyan University and an M.A. and a Ph.D. in sociology from the University of Chicago.

Colm A. O’Muircheartaigh is professor and former dean of the Harris School of Public Policy Studies and a senior fellow at NORC, both at the University of Chicago. Previously, he was the first director of the Methodology Institute and a faculty member of the Department of Statistics at the London School of Economics and Political Science. The primary focus of his work is on the design of complex surveys across a wide range of populations and topics and on fundamental issues of data quality, including the impact of errors in responses to survey questions, cognitive aspects of question wording, and latent variable models for nonresponse. He is a fellow of the Royal Statistical Society and the American Statistical Association and an elected member of the International Statistical Institute. He has served as a consultant to a wide range of public and commercial organizations around the world, including OECD and the United Nations. He received his undergraduate education at University College Dublin and his graduate education at the London School of Economics.

Trivellore Raghunathan is director of the Survey Research Center and a research professor at the Institute for Social Research at the University of Michigan, where he is also a professor of biostatistics and an associate director of the Center for Research on Ethnicity, Culture and Health in the School of Public Health. He is also a research professor in the Joint Program in Survey Methodology at the University of Maryland. Previously, he was on the faculty in the Department of Biostatistics at the University of Washington. His research interests are in the analysis of incomplete data, multiple imputation, Bayesian methods, design and analysis of sample surveys, combining information from multiple data sources, small-area estimation, confidentiality and disclosure limitation, longitudinal data analysis, and statistical methods for epidemiology. He has developed SAS-based software for imputing the missing values for a complex dataset. He has a Ph.D. in statistics from Harvard University.

Roberto Rigobon is the Society of Sloan Fellows professor of management and professor of applied economics at the Sloan School of Management at the Massachusetts Institute of Technology. He is also a visiting professor at Instituto de Estudios Superiores de Administración (Institute of Advanced Studies in Administration) in Venezuela and a research associate of the National Bureau of Economic Research. His research has

Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×

addressed the causes of balance-of-payments crises, financial crises, and the propagation of them across countries. He is currently studying the properties of international pricing practices and how to produce alternative measures of inflation. He is one of the two founding members of the Billion Prices Project, as well as a cofounder of PriceStats. He is a member of the Census Bureau’s Scientific Advisory Committee and president of the Latin American and Caribbean Economic Association. He has a B.S. in electrical engineering from Universidad Simon Bolivar (Venezuela), an M.B.A. from Instituto de Estudios Superiores de Administración (Venezuela), and a Ph.D. in economics from the Massachusetts Institute of Technology.

Marc Rotenberg is president of the Electronic Privacy Information Center (EPIC) in Washington, D.C., and teaches information privacy law and open government at Georgetown University Law Center. He has testified before Congress on more than 60 occasions and authored more than 50 amicus briefs on emerging privacy and civil liberties issues. He has served on several national and international advisory panels, including the expert panels on Cryptography Policy and Computer Security for OECD and the Legal Experts on Cyberspace Law for UNESCO. He is a founding board member and former chair of the Public Interest Registry, which manages the .org domain. He is a fellow of the American Bar Foundation, a member of the Council on Foreign Relations, and the recipient of several awards, including the World Technology Award in Law from the World Technology Network. He has an A.B. from Harvard College, a J.D. from Stanford Law School, and an LL.M. in international and comparative law from Georgetown University.

Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×
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Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×
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Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×
Page133
Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×
Page134
Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×
Page135
Suggested Citation:"Appendix B: Biographical Sketches of Panel Members and Staff." National Academies of Sciences, Engineering, and Medicine. 2017. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.
×
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Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels.

Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.

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