DR WATSON: Document Recommender with Adaptively Tailored Sensing of Needs
Award last edited on: 4/28/2024

Sponsored Program
Awarding Agency
Total Award Amount
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Solicitation Topic Code
Principal Investigator
Brent Fegley

Company Information

Aptima Inc

12 Gill Street Suite 1400
Woburn, MA 01801
   (781) 935-3966

Research Institution

University of Massachusettes

Phase I

Contract Number: HQ0860-23-C-7506
Start Date: 11/23/2022    Completed: 5/22/2023
Phase I year
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Reusing prior work is an adaptive strategy that allows an organization to learn from missteps and extend its most promising insights and capabilities. Reuse grows as a challenge as the artifacts of effort accumulate. For example, stove-piped or hidden data streams make keeping abreast of internal reports and reviews difficult for engineers. The challenges are not merely in the variety and volume of discoverable artifacts but in their provenance, trustworthiness, and value. For example, the age, recency, frequency of use, and the individuals who touched an artifact are clues that often privilege the use of one artifact over another. They may also guide an interested user to a source of current knowledge about the artifact. Yet, such information is typically unavailable. To solve these challenges, we propose a digital assistant that will provide recommendations without adding cognitive load: Document Recommender With Adaptively Tailored Sensing of Needs (DR WATSON). Approved for Public Release | 22-MDA-11339 (13 Dec 22)

Phase II

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Start Date: 00/00/00    Completed: 00/00/00
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