Defense Advanced Research Projects AgencyTagged Content List

Analytics for Data at Massive Scales

Extracting information from large data sets

Showing 74 results for Analytics RSS
March 7, 2018,
Executive Conference Center
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is sponsoring a Proposers Day to provide information to potential proposers on the objectives of an anticipated Broad Agency Announcement (BAA) for the SIGMA+ initiative (sensors thrust). The Proposers Day will be held on March 7, 2018 from 8:00 a.m. to 5:00 p.m. Eastern Time at the Executive Conference Center (4075 Wilson Boulevard, Suite 300, Arlington, VA 22203).
June 8, 2018,
Executive Conference Center
DARPA’s Defense Sciences Office (DSO) is hosting a Proposers Day to provide information to potential proposers on the objectives of the Systematizing Confidence in Open Research and Evidence (SCORE) program. SCORE aims to develop and deploy automated tools to assign "confidence scores" to different social and behavioral science (SBS) research results and claims. Confidence scores are quantitative measures that should enable a DoD consumer of SBS research to understand the degree to which a particular claim or result is likely to be reproducible or replicable. The event will be available via a live webcast for those who would like to participate remotely.
May 1, 2018,
CENTRA Technology Incorporated Conference Center
DARPA’s Tactical Technology Office is hosting a Proposers Day to provide information to potential applicants on the structure and objectives of the new Urban Reconnaissance through Supervised Autonomy (URSA) program. URSA aims to develop technology to enable autonomous systems operated and supervised by U.S. ground forces to detect hostile forces and establish positive identification of combatants before U.S. troops encounter them. The URSA program seeks to overcome the inherent complexity of the urban environment by combining new knowledge about human behaviors, autonomy algorithms, integrated sensors, multiple sensor modalities, and measurable human responses to discriminate the subtle differences between hostile individuals and noncombatants.
The United States Government has an interest in developing and maintaining a strategic understanding of events, situations, and trends around the world, in a variety of domains. The information used in developing this understanding comes from many disparate sources, in a variety of genres, and data types, and as a mixture of structured and unstructured data. Unstructured data can include text or speech in English and a variety of other languages, as well as images, videos, and other sensor information.
The Anomaly Detection at Multiple Scales (ADAMS) program creates, adapts and applies technology to anomaly characterization and detection in massive data sets. Anomalies in data cue the collection of additional, actionable information in a wide variety of real world contexts. The initial application domain is insider threat detection in which malevolent (or possibly inadvertent) actions by a trusted individual are detected against a background of everyday network activity.