Defense Advanced Research Projects AgencyTagged Content List

Analytics for Data at Massive Scales

Extracting information from large data sets

Showing 4 results for Analytics + Forecasting RSS
04/07/2017
The social sciences can play important roles in assisting military planners and decision-makers who are trying to understand complex human social behaviors and systems, potentially facilitating a wide range of missions including humanitarian, stability, and counter-insurgency operations. Current social science approaches to studying behavior rely on a variety of modeling methods—both qualitative and quantitative—which seek to make inferences about the causes of social phenomena on the basis of observations in the real-world.
April 20, 2017 ,
Webcast
The Defense Sciences Office (DSO) is sponsoring a Proposers Day webcast to provide information to potential proposers on the objectives of an anticipated Broad Agency Announcement (BAA) for the Ground Truth (GT) program. The Proposers Day will be held via webcast on April 20, 2017 from 1:00PM to 4:00PM Eastern.
Over the last 15 years, the U.S. military has increasingly been called upon to face complex operational environments (OE) and diverse enemies. Such complex OEs require the actions of U.S. forces and host-nation or coalition partners to be based on a common holistic understanding of the OE (e.g., governments, population groups, security forces, and violent non-state actors) and, in particular, the causal dynamics that can manifest as unanticipated and often counter-intuitive outcomes.
The social sciences can play important roles in assisting military planners and decision-makers who are trying to understand complex human social behaviors and systems, potentially facilitating a wide range of missions including humanitarian, stability, and counter-insurgency operations. Current social science approaches to studying behavior rely on a variety of modeling methods—both qualitative and quantitative—which seek to make inferences about the causes of social phenomena on the basis of observations in the real-world. Yet little is known about how accurate these methods and models really are, let alone whether the connections they observe and predict are truly matters of cause and effect or mere correlations.