Integrating Information, Science, and Technology for Prediction (IS&T)

Integrating Information, Science, and Technology for Prediction

• Computing Platforms: Architecture, Technologies, and Infrastructure
  The hardware, supporting physical infrastructure, and system management software appropriate to multiple modes of scientific computing.
• Computational Science: Methods, Algorithms, and Implementations to Advance Prediction
  Existing, new, and emerging theory, methods, and algorithms for advancing prediction and implementation of these approaches in scientific areas of interest at relevant scale and complexity.
• Data science: Analytics, Management, Sharing
  A partial set of capabilities which manage, analyze, and interact with data to advance predictability for mission.

The IS&T pillar is a foundational and forward-looking pillar with inherent alignment across other pillar capabilities, organizations, and programs. Integration, for the purpose of discovery and prediction, requires the ongoing anticipation and coupling of advanced analytics, modeling and simulation methods, algorithms and codes with a vibrant yet robust IS&T infrastructure capable of supporting dynamic interaction with data from many sources, including suites of experiments and observations.

This pillar stimulates and leverages advances in physical theory, applied math, data science, algorithms, and diverse approaches to high-performance computing to accelerate predictive capability. The other pillars, in turn, leverage this pillar to achieve their own long-term goals. This pillar supports an integrated set of pillars in a discovery-to-prediction Laboratory.