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.

DOI: https://doi.org/10.1145/3158342

URL: https://ubiquity.acm.org/article.cfm?id=3158342

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.

Viewing alternatives

Look up in Google Scholar

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions
No digital document available to download for this item

Item Actions

Export

About

CORE (COnnecting REpositories)

Recommendations