IARPA has released the Multimodal Objective Sensing to Assess Individuals with Context (MOSAIC) BAA, IARPA-BAA-16-10. The MOSAIC program “seeks innovative approaches to unobtrusive, passive, and persistent measurement to predict an individual’s job performance.”
“Current tools to evaluate the workforce, such as interviews, cognitive assessments, and questionnaires, while often highly predictive of job performance, may only provide a snapshot of an individual in a controlled testing environment. As such, they may not capture more dynamic or context-dependent aspects of an individual. Traditional tools may suffer other limitations, such as lengthy administration times or susceptibility to measurement artifacts (e.g., practice effects, impression management, test anxiety).
To address such limitations, the MOSAIC program seeks to fund rigorous, high-quality research to develop and validate unobtrusive, passive, and persistent sensor-based methods to assess stable and dynamic psychological, cognitive, and physiological aspects of an individual. The research will take advantage of advancements in sensors, data collection architectures, feature extraction methods, data fusion techniques, as well as the modeling and analysis of rich spatiotemporal data generated from the collection of an individual’s daily actions and responses. Performers will employ a variety of sensors (mobile, worn, and carried sensors, social media applications, etc.) to measure individuals and the environment around them (e.g., time, light, temperature, sound, interpersonal interactions) to develop personalized and contextualized assessments of an individual over time.”
Proposals are due November 10, 2016. The program manager is Dr. Alexis Jeannotte.