Defense Advanced Research Projects AgencyTagged Content List

Harnessing Complexity

Systems comprising multiple and diverse interactions

Showing 6 results for Complexity + Forecasting RSS
06/21/2016
Novel methods, tools, and approaches to better understand social systems and dynamics in a national security context
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.
February 6, 2017,
DARPA Conference Center
DARPA’s Information Innovation Office (I2O) will host a Proposers Day on February 6, 2017, to provide information to potential proposers on the new Computational Simulation of Online Social Behavior (SocialSim) program. SocialSim will seek to develop innovative technologies for high-fidelity computational simulation of online social behavior. The program will focus specifically on information spread and evolution.
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.