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Modeling social complexity in infrastructures: a case-based approach to improving reliability and resiliency.

Dister, Carl J.; Castellani, Brian; Rajaram, Rajeev

Authors

Carl J. Dister

Rajeev Rajaram



Contributors

Eve Mitleton-Kelly
Editor

Alexandros Paraskevas
Editor

Christopher Day
Editor

Abstract

If one is to improve reliability and resilience in infrastructures, it is necessary to adopt a ‘complex, smart territory’ modelling strategy, particularly one that gives attention to the importance of social complexity. To test the veracity of their argument the authors conducted a case study on a segment of the US power grid, seeking to create a first proof-of-concept sufficient to show how thinking about infrastructures in ‘complex systems’ terms, primarily in terms of their social aspects, can prove beneficial. They employed the SACS Toolkit, which is part of the new approach to modelling complex systems, called case-based complexity. As a technique, the SACS Toolkit is a computationally grounded, case-comparative, mixed methods platform for modelling complex systems as sets of cases. In an effort to help readers make use of this technique, this chapter provides a basic overview of the research process, ending with a summary of the novel insights this approach was able to achieve.

Citation

Dister, C. J., Castellani, B., & Rajaram, R. (2018). Modeling social complexity in infrastructures: a case-based approach to improving reliability and resiliency. In E. Mitleton-Kelly, A. Paraskevas, & C. Day (Eds.), Handbook of Research Methods in Complexity Science: Theory and Applications (267-284). Edward Elgar Publishing. https://doi.org/10.4337/9781785364426.00025

Online Publication Date Jan 26, 2018
Publication Date 2018-01
Deposit Date Sep 24, 2018
Publisher Edward Elgar Publishing
Pages 267-284
Book Title Handbook of Research Methods in Complexity Science: Theory and Applications.
Chapter Number 14
DOI https://doi.org/10.4337/9781785364426.00025
Public URL https://durham-repository.worktribe.com/output/1663577