Sandia Labs News Release
Sandia teams with industry to improve human-data interaction.
PANTHER - Pattern ANalytics To support High-performance Exploitation and Reasoning
Sandia has built a strong capability in data analytics to support its many national security programs
- John Holdren, Director,
White House Office of Science and Technology Policy,
March 29, 2012
Sandia Labs News Release
Sandia’s Data Analytics Innovation Cell is focused on developing the next generation technologies necessary to elevate the intelligence analyst’s ability to work at a higher level of abstraction with complex and large data sets in the development of intelligence to support of national security. The primary foci of the Data Analytics Innovation Cell include a) trajectory representations and analytics, b) automatic static and ephemeral feature detections in synthetic aperture radar imagery, c) geo-spatial, temporal semantic graph representations of multi-int sensor data and associated search capabilities, and d) human analyst performance and visual representations in support of sense making.
The Next Generation of data representations
Rethinking Patterns in Motion
- Geometric and temporal trajectory analyses - changing dots to tracks to trajectories
- Geospatial-temporal relationships - i.e., identifiying things like co-travelers
Rethinking Traditional GIS and Geospatial Search
- Compact, efficient representations of features extrade from sensor data.
- Sensor agnostic capability for multi-INT feature relationships in time and space.
- Predictive and forensic analysis
Analysts care about "what," "where," and "when." Where is it going? Where has it been? What's the relationship? What's changed?
Removing workloads from the analyst
Currently, analysts search, locate and visualy inspect data sets but in the future, when moving away from the data domain, abstract data representations will support analyst queries as part of discovery & disambiguation.
The future analysts will work with information rather than data, elevating their ability to develop actionable intelligence.
Developing new mission-centric workflows
Do existing analytic workflows really need what we're developing? Or, will geospatial pattern analytics spur evolution of novel analytic workflows, forms of expertise, and analytic products?
PANTHER is working with partner agencies to develop novel analytic workflows around real-world problems to answer questions like...
- What would a geospatial-temporal pattern analytic workflow look like?
- Where might it fit in an existing organization?
- Who are its customers?
- Who works in this cell?
- What would this produce? On what timelines?
- How does this cell's work complement/augment existing analytic workflows in other areas of the DoD/IC?