System for Group Learning and Optimization of Collaborative Workflows (GLOW)

N/aThe Navy must train and deploy effective teams in complex domains, from intelligence analysis to field medicine. Training individual personnel in all the skills and knowledge required by these tasks would be cost-prohibitive and inefficient. Instead, teams should be constructed to optimize their collective expertise. To construct these teams, the Navy needs a team development system that manages task and learning assignments to dynamically build the expertise required to achieve evolving task objectives. To meet this need, and based on our Phase I success, we propose to design and develop a full-scope system for Group Learning and Optimization of Collaborative Workflows (GLOW). GLOW’s Collaborative Workspace will enable teams to decompose complex tasks into work chunks that can be performed by contributing team members, execute (or learn to execute) those tasks while efficiently applying the collective expertise of the team, and assess performance on those tasks through an integrated peer review process. We expect this system to immediately and tangibly benefit the Navy and DoD by enabling collaboration across a number of complex tasks, including collaborative intelligence analysis with DCGS-N