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Over the past few years, calls for greater transparency and accountability in the natural and social sciences have intensified. This push has been driven in part by controversies over the inability to replicate the findings of well-known studies and by the failure to share or publish the outcomes of experiments that do not turn out as expected. This movement coincides with a vast increase in the volume and accessibility of data on individuals and the growing power of big data analytics. These trends raise significant concerns about how to continue protecting the privacy of people who participate in social science research. The talk focuses on how to reconcile the drive for greater transparency and more data sharing with the need to preserve the confidentiality of data that are supposed to remain private.
Edward Freeland is the associate director of the Princeton University Survey Research Center and a lecturer at the Woodrow Wilson School of Public and International Affairs. He teaches a graduate seminar on survey research methods and advises faculty and students who are conducting survey research projects. He has been a member of the University’s Institutional Review Board since 2005 and currently serves as chair. Before coming to Princeton, he was a senior research director in the Social and Policy Research group at Response Analysis in Princeton, NJ, and from 1992-96, he was a survey director at Mathematica Policy Research where he supervised large-scale research studies conducted for the U.S. Department of Education, the U.S. Department of Health and Human Services, and the U.S. Department of Labor. From 1989-1992, he served as a program and policy analyst for the New York City Housing Vacancy Survey. He received his Ph.D. in Sociology from Princeton University in 1992, and his B.A. in Philosophy from the University of Connecticut in 1981.