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Joint User-Centered Planning Artificial Intelligence Tools Effective Mission Reasoning (JUPITER)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0769
Agency Tracking Number: N19B-029-0002
Amount: $1,099,944.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N19B-T029
Solicitation Number: 19.B
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-08-13
Award End Date (Contract End Date): 2023-09-08
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138-4555
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Stephanie Kane
 (617) 491-3474
Business Contact
 Erica Hartnett
Phone: (617) 491-3474
Research Institution
 Duke University
 Cameron Bass
2200 West Main Street
Durham, NC 27705-4677
United States

 (919) 681-9979
 Nonprofit College or University

Effective mission planning is critical for military strategy and execution. This process is complex as human operators must consider many variables (e.g., resource limitations, threats, risks) when formulating a plan to accomplish mission goals. Although powerful tools, such as the Navy’s Joint Mission Planning System (JMPS), provide advanced functionality, mission planning remains a hybrid activity across human operators and mission planning tools. Advances in artificial intelligence (AI) and machine learning (ML) can facilitate an improved mission planning process. To effectively integrate these technologies into mission planning, under a Phase I effort, we designed and demonstrated Joint User-centered Planning Artificial Intelligence Tools for Effective Mission Reasoning (JUPITER), an AI-based mission planning framework founded on joint cognitive system principles united with an advanced library of AI/ML capabilities for effective and efficient mission planning. Under Phase II, we will expand prior analyses to identify opportunities for AI methods to support the mission planning process, such as to overcome individual bias, discover hidden alternatives, and offload extensive manual processing and analysis of low-level information. The results of these analyses will be the expansion and refinement of the overall AI framework for joint human/AI mission planning. Finally, we will expand the breadth and depth the JUPITER prototype to demonstrate and evaluate these approaches.

* Information listed above is at the time of submission. *

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