The Transformation of the National Statistical System in the Era of Digital Data ? Without a Roadmap
Starting with the 1790 census, and hugely accelerated by probability sampling in the 1930?s, the U.S. built a formidable information infrastructure. It applied standards of quality, accuracy, transparency, protection, continuity, and the public good. Whereas in the past this information infrastructure consisted largely of census and survey data, along with some administrative data, increasingly it is being outsourced to the private sector. Profit-seeking entails completely different standards, with major risks for privacy and confidentiality.
About the speaker
Kenneth Prewitt is the Director of the Future of Scholarly Knowledge project, Carnegie Professor of Public Affairs, and Vice-President for Global Centers. He taught Political Science at the University of Chicago from 1965-1982, and for shorter stints was on the faculty of Stanford University, Washington University, the University of Nairobi, Makerere University and the Graduate Faculty at the New School University (where he was also Dean).
Prewitt's professional career also includes: Director of the United States Census Bureau, Director of the National Opinion Research Center, President of the Social Science Research Council, and Senior Vice President of the Rockefeller Foundation. He is a fellow of the American Academy of Arts and Sciences, the American Academy of Political and Social Science, the American Association for the Advancement of Science, the Center for the Advanced Study in the Behavioral Sciences, the Russell-Sage Foundation, and member of other professional associations, including the Council on Foreign Relations.
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