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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.

Item Type: Journal Item
Copyright Holders: 2018 ACM
Project Funding Details:
Funded Project NameProject IDFunding Body
Data Science Pathways to a re- imagine education2016-1-IT02-KA203-024645EC: non-FP non-H2020 European Commission: non-FP (inc.Erasmus)
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Design and Innovation
Item ID: 56074
Depositing User: Jeffrey Johnson
Date Deposited: 08 Aug 2018 11:32
Last Modified: 06 May 2019 06:24
URI: http://oro.open.ac.uk/id/eprint/56074
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