SBIR/STTR Research Award

Not Available

Award identifier 407f4cc2eca980453cc5038acc8474e9ca3c5204f2829d46097e88b12a154fd1Awarding agency Department of Health and Human Services

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

1999

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Award details

Awarding agency
Department of Health and Human Services
Branch
Not reported
Recipient company
NOVA RESEARCH COMPANY
Proposal award date
Not reported
Contract end date
Not reported
UEI
ENKBUQ4WXUW7
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Not Available SNOWCAT provides a cost-effective approach to the elicitation and representation of knowledge to support the training function. Our approach focuses on core competencies and is captured in the Scenario kNOWledge CAPture for Cognitive Analysis based Training (SNOWCAT) framework, which is based on the integration of MO's scenario-based knowledge capture technology with Dr. Alan Lesgold's cognitive analysis techniques. The MO team is combining a core set of proven technologies that focus on analyzing and storing the knowledge of why a particular learning pattern, task, or scenario should be used to achieve a desired goal. The key innovation of our approach is the ability to represent this knowledge of why in a robust form that captures task descriptions and performs cognitive analysis on the tasks.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

17 SBIR/STTR records share this UEI (1994–2014). Reported award amounts total $4,978,291. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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