A case for Sandia investment in complex adaptive systems science and technology.

Colbaugh, Richard; Tsao, Jeffrey Y.; Johnson, C.; Backus, George A.; Brown, Theresa J.; Jones, Katherine A.

doi:10.2172/1044960

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…As a consequence, unpredictable outcomes and different possible future states could occur (Oughton et al 2018). Emergence is also defined as the "appearance of a phenomenon at an aggregate level that cannot be described in terms of the particulate actions" (Johnson et al 2011;Pumpuni-Lenss et al 2017). (Holland 1992;Holden 2005;Johnson et al 2011;Reiman et al 2015;Pumpuni-Lenss et al 2017;Oughton et al 2018)…”

Section: Emergencementioning

confidence: 99%

Emergency management capabilities of interdependent systems: framework for analysis

Piraina

Trucco

2022

Environ Syst Decis

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The management of emergencies affecting interdependent critical infrastructure (CI) systems is a complex issue of increasing concern. The existence of multiple cascading effects, limited situational awareness, and the need for coordination between several actors are factors that justify the conceptualization of CI as a complex adaptive system (CAS). Although the capability concept has been extensively adopted in emergency management (EM) literature, proper classification and modeling of CI systems is lacking. This study aims to adopt a capability-based approach for EM to improve the adaptability to the prevailing and unpredictable circumstances, based on a combination of literature review and field research. It proposes a classification and modeling framework for the analysis of the intra-and interorganizational capabilities using a pilot application involving the Italy-Switzerland cross-border transport infrastructure. This framework is suitable for modeling the EM capabilities under different operational contexts and emergency scenarios. Moreover, it enables the representation and description of a CI system through elementary components that capture the main features of a CAS. The obtained results indicate that the proposed framework can foster public-private collaboration (PPC) in the development of CI protection and resilience (CIP-R) programs.

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