Sensemaking

Sensemaking is the collection and organization of information for deeper understanding to facilitate insight and subsequent action. The LAS focus in sensemaking is at the intersection of analytic tradecraft and information technology. Examples include studying decision making in volatile, uncertain, complex, and ambiguous environments; “living” reports that automatically provide differing levels of detail to different audiences; methods for developing understanding of low-level event data or large corpuses of unstructured text; automation of hypothesize-test-evaluate discovery cycle; goal and intent recognition; automatic generation of multi-media narratives.