VANESSA: Virtual Analysis Networks and Explanations for Social Sensing Analysis

SIFT, JHU medicine and University of Central Florida are proposing to develop VANESSA (Virtual Analysis Networks and Explanations for Social Sensing Analysis) - a social sensing platform providing team diagnostics of interacting teams and recommendations for enhanced team functioning of human and human-cyber teams. The overall goal of VANESSA is to develop an adaptive technology platform with a focus on socially relevant data streams synergizing cognitive, physiological and behavioral processes within inidividuals and teams. This will provide a multi-level tool to generate team diagnostics for the assessment of 1) individuals within teams, 2) interactions between team members and 3) patterns between teams, resulting in scalable recommendations for team composition and interventions. Our primary objectives in Phase I will be to address the first two challenges – 1) development of intelligent social sensing platform for data collection and management and 2) design algorithms for team-level diagnostics. Our Phase 1 effort will also produce an initial design and execution plan to develop Phase 2 challenges that calls for a recommendation engine and visualizations of the network representations.