Defense Advanced Research Projects AgencyTagged Content List

Analytics for Data at Massive Scales

Extracting information from large data sets

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Urban Reconnaissance through Supervised Autonomy (URSA) is a DARPA program to enable improved techniques for rapidly discriminating hostile intent and filtering out threats in complex urban environments.
Currently, understanding and assessing the readiness of the warfighter involves medical intervention with the help of advanced equipment, such as electrocardiographs (EKGs) and other specialized medical devices, that are too expensive and cumbersome to employ continuously or without supervision in non-controlled environments. On the other hand, currently 92 percent of adults in the United States own a cell phone, which could be used as the basis for continuous, passive health, and readiness assessment.
| AI | Analytics | Data | Health |
Current defense systems for processing information struggle to effectively scale to the volume and characteristics of changing data environments and the range of applications for data analysis. Overcoming these challenges requires fundamentally new approaches to data science, including distributed computation and interactive visualization.
Program Manager
Dr. Bartlett Russell joined DARPA as a program manager in April of 2019. Her work focuses on understanding the variability of human cognitive and social behavior to enable the decision-maker, improve analytics, and generate autonomous and AI systems that enable human adaptability. Prior to joining DARPA, Russell was a senior program manager and lead of the human systems and autonomy research area in Lockheed Martin’s Advanced Technology Laboratories.
Program Manager
Dr. Boyan Onyshkevych joined I2O as a program manager in 2013. His research interests include human language technologies and knowledge-based systems applied to the areas of information extraction, language understanding and semantic computing.