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(to be completed)

 


ThinkMind // International Journal On Advances in Intelligent Systems, volume 9, numbers 1 and 2, 2016 // View article intsys_v9_n12_2016_12


Bamboo in a Sandpile: Methodological Considerations for Leveraging Data to Enhance Infrastructural Resilience

Authors:
Robert Spousta III
Steve Chan
Stef van den Elzen
Jan-Kees Buenen

Keywords: Collaborative Big Data Analytics; Decision Engineering; Infrastructural Resilience; Sensemaking Methodology

Abstract:
The onset of the Big Data phenomenon presents significant technological challenges in managing massive amounts of information, yet it also presents tremendous opportunities for enhancing societal resilience and directly serving the public good. The Internet of Everything, which is driving such massive connectivity and growth in data generation is a highly complex system, continuously giving rise to new communication capabilities, yet also becoming increasingly vulnerable to destabilizing forces and malicious threats. Creating systems that are truly intelligent and capable of balancing these interrelated dynamics in the management of data demands a deliberate approach that is scalable, adaptive, and extensible. In this paper, we discuss three primary considerations for conducting Collaborative Big Data Analytics, including data acquisition, layered analytics, and visualization in order to grow resilient cyber-physical infrastructures that are capable of withstanding significant destabilization. With regard to data acquisition, we present the basic characteristics of so-called Big Data, namely the Six Vs of data variety, volume, velocity, veracity, volatility, and value. In addition, we outline the development of analytical tools and techniques for processing data, as well as methods for effectively visualizing the products of a layered analytic approach. In order to illustrate the utility of such an approach, we summarize findings from our participation in Orange Telecom’s Data for Development Challenges in the Republic of Côte d'Ivoire and Senegal, as well as introduce initial findings from our ongoing study of infrastructural resilience in archipelagos. We conclude that while Collaborative Big Data Analytics hold great promise, forums for the open development and validation of methodologies for its conduct are needed to generate more and better uses of the Big Data that have come to dominate our world.

Pages: 133 to 147

Copyright: Copyright (c) to authors, 2016. Used with permission.

Publication date: June 30, 2016

Published in: journal

ISSN: 1942-2679

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