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Joint User-centered Planning artificial Intelligence Tools for Effective mission Reasoning (JUPITER)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0761
Agency Tracking Number: N19B-029-0002
Amount: $139,993.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N19B-T029
Solicitation Number: 19.B
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-09-04
Award End Date (Contract End Date): 2020-03-04
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Stephanie Kane
 Senior Scientist
 (617) 491-3474
Business Contact
 Yvonne Fuller
Phone: (617) 491-3474
Research Institution
 Duke University
 Dr. Mary Cummings Dr. Mary Cummings
131 North Buliding Box 103957
Durham, NC 27708
United States

 (919) 660-5306
 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, we propose to design and demonstrate 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. We will identify opportunities for AI methods to support the mission planning process, such as by overcoming individual bias, discovering hidden alternatives, offloading extensive manual processing and analysis of low-level information, and incorporating historical and contextual information. JUPITER will use a joint cognitive system (JCS) approach to uniquely frame human operator and AI as a single unit, enabling human-AI teams to jointly collaborate and address the challenging and complex mission planning process.

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

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