You are here

Adjustable Decision Aid for Prioritizing Threats (ADAPT)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0063
Agency Tracking Number: N192-093-0101
Amount: $139,987.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N192-093
Solicitation Number: 19.2
Timeline
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-10-17
Award End Date (Contract End Date): 2020-04-14
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
 Lauren Hinkle
 Scientist
 (617) 491-3474
 lhinkle@cra.com
Business Contact
 Yvonne Fuller
Phone: (617) 491-3474
Email: yfuller@cra.com
Research Institution
N/A
Abstract

Theater anti-submarine warfare (TASW) watchstanders are responsible for maintaining the safety and security of ocean areas and US surface and sub-surface assets. They must process a large quantity of data to assess and prioritize potential threats. This analysis is complicated by irregular and noisy observational data, and different informational needs for watchstanders based on their roles and responsibilities. A decision aid is needed to avoid information overload and enable watchstanders to focus resources on the highest priority potential threats. To address these challenges, we propose to design the Adjustable Decision Aid for Prioritizing Threats (ADAPT) tool. ADAPT uses probabilistic models to combine expert knowledge, real-time observations, and user-configurable objectives to prioritize potential threats in multi-threat environments. ADAPT will encode expert knowledge in an extendable probabilistic modeling framework that uses real-time data from existing Undersea Warfare Decision Support System (USW-DSS) databases to assess the threat level of observed contacts. Relative threat severity is calculated across all contacts for individual watchstanders by encoding prioritization schemas dependent on their role into multi-criteria analysis algorithms. These algorithms incorporate observational uncertainty in assessing the threat likelihood and severity of a contact. The resulting threat prioritization is communicated to the watchstander using a customizable user interface.

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

US Flag An Official Website of the United States Government