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Automated: Scientific Method and Project Study Team
The Automated Election System 2010 of Comelec: Challenges and Uncertainties
By karagulamos | November 2011
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THE AUTOMATED ELECTION SYSTEM 2010 OF COMELEC: CHALLENGES AND UNCERTAINTIES A Preliminary Study of the AES (May – August, 2009)
By the Center for People Empowerment in Governance (CenPEG) Project Study Team In cooperation with The Office of Dean Marvic MVF Leonen, College of Law, University of the Philippines

October 27, 2009

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THE AUTOMATED ELECTION SYSTEM 2010 OF COMELEC: CHALLENGES AND UNCERTAINTIES A Preliminary Study of the AES (May – August, 2009)
October 27, 2009

By the Center for People Empowerment in Governance (CenPEG) Project Study Team In cooperation with The Office of Dean Marvic MVF Leonen, College of Law, University of the Philippines Submitting this Report is the Project Study Team:

Felix Muga II, PhD, Project Director Prof. Bobby M Tuazon, Project Consultant Pablo Manalastas, PhD, Research Consultant Evi-ta Jimenez, Project Consultant Researchers: Prof. Rosa Castillo Rodellyn Serpa Juan Manalac Elsa Gines Unyx Sta. Ana Edwin C. Tuazon

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TABLE OF CONTENTS
I. INTRODUCTION A. Background of the study B. Objectives of the Study II. RESEARCH METHODOLOGY Analysis Framework III. SCOPE AND LIMITATIONS OF THE STUDY IV. ACKNOWLEDGMENT V. DEFINITION OF TERMS VI. TECHNICAL ISSUES REGARDING THE SAES-1800 AND REIS-RUN CANVASSING COMPUTERS A. Introduction B. Research Methods C. Countries with Electronic or Automated Election D. The OMR Technology OMR units The OMR technology’s use in election The PCOS-OMR system for the 2010 elections E. Important Features of Smartmatic’s PCOS-OMR System SAES-1800 F. Analysis of the SAES-1800’s and REIS’ Technical Capabilities: Data Integrity and Security Issues Program correctness Program integrity verification Voter’s choice verifiability Protection of transmitted data: Digital signature/secret key Root user/system administrator G. Conclusion H. Recommendations VII.

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