High Performance Synthetic Information Environments : An integrating architecture in the age of pervasive data and computing

Barrett, Christopher L.; Johnson, Jeffrey and Marathe, Madhav (2018). High Performance Synthetic Information Environments : An integrating architecture in the age of pervasive data and computing. ACM Ubiquity, 2018(3) pp. 1–11.

URL:	https://ubiquity.acm.org/article.cfm?id=3158342
DOI (Digital Object Identifier) Link:	https://doi.org/10.1145/3158342
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Abstract

The complexities of social and technological policy domains, such as the economy, the environment, and public health, present challenges that require a new approach to modeling and decision-making. The information required for effective policy and decision making in these complex domains is massive in scale, fine-grained in resolution, and distributed over many data sources. Thus, one of the key challenges in building systems to support policy informatics is information integration. Synthetic information environments (SIEs) present a methodological and technological solution that goes beyond the traditional approaches of systems theory, agent-based simulation, and model federation. An SIE is a multi theory, multi-actor, multi-perspective system that supports continual data uptake, state assessment, decision analysis, and action assignment based on large-scale high-performance computing infrastructures. An SIE allows rapid course-of-action analysis to bound variances in outcomes of policy interventions, which in turn allows the short time-scale planning required in response to emergencies such as epidemic outbreaks.

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2018 ACM

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