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Christina Freyman, Ph.D., has extensive experience in the areas of science and technology policy research and analysis, program evaluation and complex program management. She has conducted mixed methods evaluations of government sponsored R&D with quantitative economic analyses and program evaluation tools including machine learning-based text analysis, and bibliometric analyses.
Freyman currently leads two grants related to advanced analytics, big data, and metrics. She also leads a large analytical support contract for a U.S. statistical agency. Freyman has conducted case study research using advanced analytics on materials related to solar cells and her Ph.D. research focused on energy-saving thin films.
Freyman has a Ph.D. in materials science and engineering from Northwestern University and a M.P.P. with an emphasis in quantitative analysis and program evaluation from the University of Chicago.
Conference Paper July 1, 2013
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