High Performance Synthetic Information Environments An integrating architecture in the age of pervasive data and computing
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 08, 2018
- Source ID
- 10.1145/3158342
Entities
People
- Christopher L. Barrett
- Jeffrey Johnson
- Madhav Marathe
Organizations
- Defense Advanced Research Projects Agency
- Defense Threat Reduction Agency
- National Institutes of Health
- National Science Foundation
- United States Agency for International Development
- United States Department of Energy