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Steven F. Freeman
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Steven F. Freeman is a Resident Scholar and Affiliated Faculty in Organizational Dynamics, at the University of Pennsylvania and the co-author, with Joel Bleifuss of the 2006 book: Was the 2004 Presidential Election Stolen?: Exit Polls, Election Fraud, and the Official Count. Biography Freeman holds a Ph.D. from MIT’s Sloan School of Management and an M.S. in Social System Science from the University of Pennsylvania’s Wharton School. He has taught on the faculty at the Wharton School and at the Universidad de San Andreas in Argentina and the Central American Institute of Business Administration (INCAE) in Costa Rica, where he conducted management courses for a full spectrum of private and public sector leaders. He has won four national research awards from the Academy of Management and conducts workshops for faculty on research methods. He also received an award from Sonoma (California) State University’s Project Censored for his analyses documenting evidence of US election fraud. Academic Work Freeman teaches organizational resilience, innovation, and research methods. His work on includes a study of September 11, 2001 of how one of the firms hit by the attacks proved resilient through a combination of "moral purpose" and opportunism. His PhD dissertation was (MIT 1998) on why North American automobile manufacturers were so slow to adopt revolutionary Japanese advances in auto design and production. Advocacy Freeman is best known for his extensive work alleging mass-scale fraud in recent US elections. He has testified before the United States Congress, and critiqued an official report released by the National Election Pool media consortium. He is also the author of Was the 2004 Presidential Election Stolen? Exit Polls, Election Fraud, and the Official Count/ In 2004, he founded Election Integrity, a non-partisan organization established to verify vote counts and expose election fraud, including fraudulent machine counts, media exit poll manipulation, and anti-trust collusive behavior in US election processes. 
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