Crowdsourcing ISR: a systems thinking approach to knowledge dynamics in intelligence operations through application of collaborative filters
Authors
Hoffner, John J.
Subjects
Marine Corps
ISR
MCISR-E
Intelligence
Crowdsourcing
Collaboration
Adaptation
Technology
Network-Centric Warfare
Complex Adaptive Systems
Open Systems
Systems Thinking
Systems Dynamics
Social Networks
Emergence
Autopoiesis
Self-organization
Knowledge Dynamics
Computer Supported Collaborative Work
Knowledge Networks
ISR
MCISR-E
Intelligence
Crowdsourcing
Collaboration
Adaptation
Technology
Network-Centric Warfare
Complex Adaptive Systems
Open Systems
Systems Thinking
Systems Dynamics
Social Networks
Emergence
Autopoiesis
Self-organization
Knowledge Dynamics
Computer Supported Collaborative Work
Knowledge Networks
Advisors
Porter, Wayne
Bordetsky, Alex
Date of Issue
2013-09
Date
Sep-13
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The Marine Corps Intelligence, Surveillance, and Reconnaissance Enterprise (MCISR-E) faces ever-increasing complexity in the conduct of expeditionary operations. This research seeks to explore computer-supported collaborative work of the MCISR-E. Properties of networks and complexity are explored through a systems thinking perspective on collective intelligence. Online social networking information technology is examined for demonstration of emergent knowledge creation for sensemaking in the computer-supported collaborative work of MCISR-E. This is provided through use cases of commercial off the shelf online social networking technology and crowdsourcing applications. Crowdsourcing through social networking technology as it benefits both collaborative information seeking and collaborative filters are suggested as possible fit to the MCISR-E. Use cases demonstrate this fit at the technical, organizational and individual levels. The MCISR-E is a complex adaptive system, designed to raise the collective intelligence of Marine Corps units. Collective intelligence is defined as groups of people doing things intelligently. MCISR-E must effectively demonstrate sensemaking through knowledge creation to achieve this goal. MCISR-E processes must predict and react to events by group work capitalizing on current and new technology.
Type
Thesis
Description
Series/Report No
Department
Information Sciences (IS)
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
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.