Appendix C

Biographical Sketches of Panel Members

JEROME P. (JERRY) REITER is professor of statistical science at Duke University. His primary research areas include methods for protecting data confidentiality, for handling missing and faulty data, and for combining information across data sources. He is a fellow of the American Statistical Association and of the Institute of Mathematical Statistics, the recipient of the Gertrude Cox Award for contributions to survey statistics, and the recipient of the Links Lecture Award. He has served on more than 12 National Academies of Sciences, Engineering, and Medicine committees, primarily related to issues confronting national statistics. He has a B.S. in mathematics from Duke University, and an A.M. and Ph.D. in statistics from Harvard University.

CLAIRE MCKAY BOWEN is a senior fellow and statistical methods group lead at the Urban Institute. Her research primarily focuses on developing technical and policy solutions to safely expand access to confidential data that advance evidence-based policymaking. She also has interest in improving science communication and integrating data equity into the data privacy process. In 2021, the Committee of Presidents of Statistical Societies identified her as an emerging leader in statistics for her technical contributions and leadership to statistics and the field of data privacy and confidentiality. She is also a member of the Census Scientific Advisory Committee and several other data governance and data privacy committees as well as an adjunct professor at Stonehill College. Bowen holds a B.S. in mathematics and physics from Idaho State University and an M.S. and Ph.D. in statistics from the University of Notre Dame.

ALONI COHEN is an assistant professor at the University of Chicago, with an appointment in the Department of Computer Science and the Data Science Institute. His work explores the interplay between theoretical cryptography, privacy, law, and policy. Before joining the University of Chicago, Cohen was a postdoctoral associate at the Hariri Institute for Computing at Boston University and the Boston University School of Law. He is a former affiliate of the Berkman Klein Center for Internet & Society, Facebook Fellow, and Aspen Tech Policy Hub Fellow. Cohen has a Ph.D. in computer science from Massachusetts Institute of Technology.

DIANA FARRELL is an independent director and trustee of various organizations, including eBay, the Urban Institute, and the National Bureau of Economic Research. Previously, she was the global head of the McKinsey Center for Government, providing research, proprietary data, and other tools to support government leaders focused on improving performance. In addition, she was a leader of McKinsey’s Global Public Sector Practice and a member of their Partner Review Committee. She served in the White House as deputy director of the National Economic Council and deputy assistant to the president on economic policy from 2009 to 2011. During her tenure, she led interagency processes and stakeholder management on a broad portfolio of economic initiatives, including financial reform, housing, and innovation. She also coordinated stakeholder engagement around the passage of the historic Dodd-Frank Act and served as a member of the president’s Auto Recovery Task Force. Prior to serving in the Obama Administration, she was the head of the McKinsey Global Institute. Under her leadership, the institute published extensively on the topics of productivity, competitiveness and growth, global financial system evolution and capital market developments, labor markets, health care systems, and energy. Ms. Farrell earned an M.B.A. from Harvard Business School.

ROBERT M. GOERGE is a senior research fellow at Chapin Hall at the University of Chicago where he has focused for the past 35 years on improving the data and evidence consumed by policymakers, administrators, and practitioners in social programs at the federal, state, and local levels, specifically income maintenance, child welfare, primary and postsecondary education, criminal and juvenile justice, and early childhood programs. He focuses on the rigorous development and collection of data that accurately and comprehensively reflect the experiences of children and families in social programs. He has developed and employed record-linkage methods to combine large data sources. He currently serves on the National Academies of Sciences, Engineering, and Medicine’s Committee on National Statistics and has had an Intergovernmental Personnel Act position at the Census Bureau. He is also a senior fellow at the Harris School of Public

Policy, where he teaches, and senior fellow at NORC. Goerge received his M.A. and Ph.D. in social policy from the University of Chicago.

NICHOLAS HART is president of the Data Foundation, a national nonprofit organization that champions the use of open data and evidence-informed public policy to improve society. He is a fellow at the Bipartisan Policy Center and with the National Academy of Public Administration. He previously served as the policy and research director for the U.S. Commission on Evidence-Based Policymaking, worked at the White House Office of Management and Budget, and was an appointed member of the Federal Advisory Committee on Data for Evidence Building established by the Foundations for Evidence-Based Policymaking Act of 2018. He has an M.S. in environmental science and an M.P.A. from Indiana University, and a Ph.D. in public policy and public administration from George Washington University.

HOSAGRAHAR V. JAGADISH is Edgar F. Codd Distinguished University Professor and Bernard A. Galler Collegiate Professor of Electrical Engineering and Computer Science at the University of Michigan in Ann Arbor, and director of the Michigan Institute for Data Science. Prior to 1999, he was head of the Database Research Department at AT&T Labs, Florham Park, New Jersey. He is well known for his broad-ranging research on information management, and has more than 200 major papers and 38 patents, with an H-index of 101. He is a fellow of the Association for Computing Machinery and of the American Association for the Advancement of Science. He chairs the board of the Academic Data Science Alliance and previously served on the board of the Computing Research Association. He won the David E. Liddle Research Excellence Award in 2008, the Association for Computing Machinery Special Interest Group on Management of Data Contributions Award in 2013, and the Distinguished Faculty Achievement Award in 2019. He has a Ph.D. in electrical engineering from Stanford University.

DANIEL KIFER is a professor in the Department of Computer Science and Engineering at Penn State University. Kifer works on machine learning and security, with particular emphasis on privacy technology. He served as a technical lead for the Census Bureau’s disclosure-avoidance system and also consulted for Facebook on privacy technology. Kifer is currently a member of the Committee on National Statistics. His work has been recognized with distinctions such as the 2021 Association for Computing Machinery (ACM) Special Interest Group on Management of Data Test of Time Award, the 2017 IEEE International Conference on Data Engineering Influential Paper Award, and the 2018 ACM Computing Classification System outstanding paper award. Kifer has a Ph.D. from Cornell University.

KAREN LEVY is an associate professor of information science at Cornell University and associate member of the faculty at Cornell Law School. She is a sociologist and lawyer whose research focuses on legal, social, and ethical dimensions of data-intensive technologies, particularly in the context of labor and the workplace. Levy is a New America National Fellow, and her research has been supported by the MacArthur Foundation, the Sloan Foundation, the National Science Foundation, the Horowitz Foundation, the Borchard Foundation, and the Russell Sage Foundation. She has a J.D. from Indiana University Maurer School of Law and a Ph.D. in sociology from Princeton University.

SALOMÉ VILJOEN is an assistant professor of law at University of Michigan Law School. She is interested in how information law structures inequality and how alternative legal arrangements might address that inequality. Viljoen’s current work is on the political economy of social data. She is interested in what legal status social data enjoy, what legal interests they implicate, and how the law regulates their creation and use. Viljoen was previously an associate at Fenwick and West, LLP, where she worked with technology company clients on a broad array of information law and corporate matters. She has a B.A. in political economy from Georgetown University, an M.S. from the London School of Economics, and a J.D. from Harvard Law School.

MARK WATSON has more than 35 years of hands-on experience supporting research economists, researchers, and engineers. He retired from the Federal Reserve Bank of Kansas City in January 2022 where he served as vice president and director of the Center for the Advancement of Data and Research in Economics (CADRE). Watson led the establishment of CADRE, a cyberinfrastructure that supports the computational computing and data needs for 650+ economists and researchers in and outside the Federal Reserve System. He also spearheaded the Federal Reserve Bank of Kansas City’s efforts to develop expertise in high-performance computing, parallel data warehousing technologies, and big data initiatives. Prior to joining the Federal Reserve Bank of Kansas City, Watson spent 15 years working in the Department of Energy’s nuclear weapons complex as a technical programmer and administrator of databases and Unix environments. He holds a B.S. degree in business administration from the University of Missouri Kansas City.

COMMITTEE ON NATIONAL STATISTICS

The Committee on National Statistics was established in 1972 at the National Academies of Sciences, Engineering, and Medicine to improve the statistical methods and information on which public policy decisions are based. The committee carries out studies, workshops, and other activities designed to advance the nation’s statistical measures and data infrastructure with the goal of fostering a fuller understanding of the economy, the environment, public health, crime, education, immigration, poverty, welfare, and other public policy issues. It also evaluates ongoing statistical programs and tracks the statistical policy and coordinating activities of the federal government, serving a unique role at the intersection of statistics and public policy. The committee’s work is supported by a consortium of federal agencies through a National Science Foundation grant and individual contracts with federal agencies. For more information, visit www.nationalacademies.org/cnstat.

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