Assistant Professor of Information Technology and Acquisition at the National Defense University
Dr. Shapiro is a full-time faculty member of the College of Information and Cyberspace (CIC) at the National Defense University (NDU), located in Washington DC. As Assistant Professor of Information Technology and Acquisition, he is the lead instructor for courses in IT Program Leadership and IT Project Management. Prior to teaching at NDU, Dr. Shapiro served as the Science and Technology Advisor at the National Maritime Intelligence-Integration Office (NMIO). His accomplishments include organizing and facilitating the 2015 and 2014 Global Maritime Forum workshops and producing Volumes 7, 8, 9, and 10 of the NMIO Technical Bulletin.
Prior to NMIO, Dr. Shapiro was the Chief of Program Controls for the National Geospatial-Intelligence Agency (NGA) managing agency-wide budget controls encompassing data management and coordination for six Congressional Budget Justification Book (CBJB) submissions. Additionally he developed NGA agency-wide strategic objectives and performance measures in direct support of the Chief Operating Officer.
Before joining federal service, Dr. Shapiro was the Director of Business Operations for the Corporation for Public Broadcasting (CPB), a Senior Manager of Technology at the Public Broadcasting Service (PBS), and a systems analyst in support of NAVSEA.
Dr. Shapiro obtained his Ph.D. in Systems Engineering from The George Washington University (GWU), Master of Business Administration from George Mason University, and Bachelor of Science in Mechanical Engineering, University at Buffalo. Dr. Shapiro’s published work focuses on the emergent behavior of the U.S. government workforce through an agent-based model of worker departure. He is currently lecturing for GWU as adjunct faculty. Teaching assignments include the Masters courses: Management of Technical Organizations, and Management of Engineering Contracts.
Track: Risk Management & Predictive Analytics
Monday, April 15, 10:30–11:20am
Crowdsourcing Analytics: Case Study of the Fishing for Fishermen Maritime Data Challenge
Illegal, unreported, and unregulated fishing (IUU) activities is a global problem that threatens ocean ecosystems and sustainable fisheries. By applying innovative analytic techniques to existing data sources, the worldwide crowdsourcing algorithm development competition, Fishing for Fishermen Maritime Data Challenge, sought to develop a method to more effectively identify and react to the global IUU fishing threat. The use of crowdsourcing yielded algorithms that were surprisingly accurate and reliable in their ability to identify fishing activity (98%), and then to help identify the type of that activity (91% to 98%). The algorithms are now publicly available for analysts and law enforcement authorities globally to support combating IUU fishing. This case study highlights the different approaches and technology used to solve the challenges, and illustrates how to gain access to some of the world’s leading algorithmic scientists for a fraction of the cost required to either hire or contract such talent.