Virtual Anticipation Network (VANE)

Focus Area:

Anticipatory Analytics and Foresight


Virtual Anticipation Network (VANE) is a project with NuWave Solutions to use big data and machine learning to identify indicators and warnings of difficult to detect “gray zone” (e.g., hybrid or irregular warfare) attacks. VANE encompasses a number of tools that use machine learning to process unstructured data and highlight anomalies to make predictive forecasts on gray zone activity. VANE’s core uses are: activity forecasting, anomaly and weak signal detection, what if/hypothesis analysis, scenario back-casting and likelihood assessment, and data exploration and visualization.

Project Cost:

$3.3 M

Project Duration:

24 months

Operational Impact:

VANE applies machine learning to model the environment, identifying phenomena through anomaly detection, and then assesses/monitors phenomena through scenario modeling. Analysts can leverage VANE to reduce surprise, increase sensitivity to weak signals, improve objectivity, and scale analysis to more sensors.




NuWave Solutions

End Users:

U.S. Army G2, EUCOM


Will transition to U.S. Army G2.