Defense Advanced Research Projects AgencyTagged Content List

Analytics for Data at Massive Scales

Extracting information from large data sets

Showing 95 results for Analytics RSS
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.
Program Manager
Brian Kettler joined DARPA in March 2019. His research interests include automated decision support (AI reasoning and planning), computational modeling of sociocultural systems, human-machine collaboration, and context-aware computing.
| AI | Analytics | BMC2 |
Deputy Director
Dr. Jennifer Roberts was named Deputy Director of the Information Innovation Office (I2O) in November 2019, after serving as a program manager in I2O since 2015. Roberts works with I2O program managers in the development of programs, technologies, and capabilities to ensure information advantage for the U.S. and its allies, and coordinates this work across the Department of Defense and U.S. government. While serving as a program manager role, her principal research interests included scalable analytics and machine learning algorithms that yield insights to human users across multiple military missions and applications.
Program Manager
Dr. Joshua Elliott joined DARPA in September 2017. His research interests include modeling and prediction of complex natural and socio-economic systems and how computational technologies can be leveraged to improve all aspects of science and modeling from data discovery to analysis.