THE JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY LLC
Department of Defense · Contract
AI-Readiness Score
8/19
AI / ML Relevance
6/9
Problem Framing
2/5
Awardee Quality
0/5
Award
$1,275,194
Award amount
—
Award date
HT001123F0083
PIID
Awardee
769
Total awards
$4,478,210,870
Total $ won
2.6/19
Avg AI score
Description
ESSENTIAL SERVICE TO EXPLORE APPLICATION OF THE AGENT ONTOLOGY-BASED CAPABILITY AND TO INVESTIGATE USE OF RECENT LARGE LANGUAGE MODEL ADVANCES FOR PROBLEMS IN BIOSURVEILLANCE.
Score Rationale
LLM advances are explicitly named and the core work targets AI application (agent ontology, LLM for biosurveillance), but the deliverable framing is exploratory and vague—'investigate use' suggests research rather than a fielded ML system. Problem statement is extremely thin ('biosurveillance') with no operational context, end-user clarity, or success metrics articulated. JHU APL is a federally funded research center (FFRDC), not an AI-native startup, which disqualifies it from awardee quality scoring despite strong technical credentials.