A Semantic Data Model for Simulating Information Flow in Edge Organizations
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Authors
Ramsey, Marc S.
MacKinnon, Douglas J.
Levitt, Raymond E.
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2006
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Abstract
Edge organizations emphasize the movement of decision-making power to individuals and teams who interface directly with fast-changing environments. Making decisions without timely access to relevant information leads to ad-hoc or delayed responses. A key determinant of effective Edge organizations is an optimized information infrastructure to collect, filter, store, and communicate data to those who need it. Computational modeling has been proven to be an effective tool for analyzing and optimizing project organizations. Existing project modeling tools do not, however, adequately represent the critical dynamic behaviors of workers in modern knowledgebased organizations. POW-ER is an extensible organization simulation platform, developed as an outgrowth of the Virtual Design Team (VDT) computational modeling research at Stanford University. This paper discusses the development of a new semantic data model for POW-ER. This enhanced data model provides the capability to simulate the behavior of personnel utilizing complex sensor and information systems in highly dynamic environments. Using POW-ER, researchers will be able to conduct emulation experiments on hypothetical Edge organization structures and information architectures to validate and calibrate the computational model. Ultimately, this will evolve into a tool that will aid in the systematic design and optimization of Edge and other organizational forms.
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Conference Paper
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Proceedings International Command and Control Research and Technology Symposium, Cambridge, UK (September 2006)
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.