|Acquisition Program: |
| ||RESTRICTION ON PERFORMANCE BY FOREIGN NATIONALS: This topic is “ITAR Restricted”. The information and materials provided pursuant to or resulting from this topic are restricted under the International Traffic in Arms Regulations (ITAR), 22 CFR Parts 120-130, which control the export of defense-related material and services, including the export of sensitive technical data. Foreign nationals may perform work under an award resulting from this topic only if they hold the “Permanent Resident Card”, or are designated as “Protected Individuals” as defined by 8 U.S.C. 1324b(a)(3). If a proposal for this topic contains participation by a foreign national who is not in one of the above two categories, the proposal may be rejected.|| Objective: ||Apply computational modeling technology to aid in multicultural team function allocation, knowledge interoperability and optimal team organization to improve team training and performance.
|| Description: ||Defense Transformation and Network-Centric Operations has created the requirement for highly responsive, networked teams. The new focus on Coalition Operations has also driven the need for agile, multicultural teams to respond quickly to asymmetric threats. The QDR has directed a significant expansion in Special Operation Forces (SOF) and SEALs teams to operate in politically sensitive and denied areas. Principal objectives will be to track and disable high value targets globally. Effectiveness of Special Ops also often depends on understanding the impact of cultural factors for own team members and for prediction of adversary actions. Models that can identify optimal organizational structures, provide interactive function re-allocation and match cultural strengths with tasks can provide a warfighting advantage. Cultural data bases now exist that can quantify cultural behaviors and Influence Net models have demonstrated the ability to enable effects-based planning. Combining the features of these extant technologies can provide both operational and training benefits in the short term.
|| ||PHASE I: Develop a system design that makes use of existing cultural behavior data integrated with a modeling framework such as influence diagramming and Bayesian inference networks to evaluate "what if" implications and predict future scenarios. Propose a prototype for application in quick-reaction small team situations.
|| ||PHASE II: Develop and demonstrate a prototype system in a lab or simulation environment. Conduct testing to prove feasibility in an operational experiment or training scenario.
|| ||PHASE III: Introduce to users at Marine Systems Command, Special Operations Command or other special forces activities for usability testing or incorporate as part of the training program for special operations.
PRIVATE SECTOR COMMERCIAL POTENTIAL/|| ||DUAL-USE APPLICATIONS: This system could be used in a broad range of military and civilian applications where multicultural teams collaborate to select a course of action, make a decision or design a product. Could be especially useful in humanitarian aid/disaster relief situations.
|| References: ||1. Influence Net Modeling: http://www.inet.saic.com/inet-public/
2. Decision Support System for Coalition Operations: SSC San Diego Technical Report 1886, August 2002: www.maxwell.af.mil/au/awc/awcgate/navy/tr1886.pdf
3. Including Organizational Cultural Parameters in Work Process: CCRT(2004) www.dodccrp.org/events/2004/CCRTS_San_Diego/CD/papers/008.pdf|
|Keywords: ||Multicultural, Decision Making, Teams|