Defense Advanced Research Projects AgencyTagged Content List

Harnessing Complexity

Systems comprising multiple and diverse interactions

Showing 110 results for Complexity RSS
05/17/2015
The mission of the Defense Sciences Office (DSO) is to identify and pursue high-risk, high-payoff research initiatives across a broad spectrum of science and engineering disciplines and to transform these initiatives into disruptive technologies for U.S. national security.
01/01/1980
DARPA established the Defense Sciences Office (DSO) in 1980, combining the Nuclear Monitoring Research Office, materials science research, and cybernetic technology efforts into a single office. Since its inception, DSO has spawned two additional technology offices at DARPA: the Microsystems Technology Office (MTO) in 1992 and the Biological Technologies Office (BTO) in 2014.
02/05/2014
In today’s rapidly evolving mission environments, warfighters need new vehicles, weapons and other systems fielded quickly. Current design and development approaches, however, are unable to deliver those systems in a timely manner. To help overcome these challenges, DARPA’s Adaptive Vehicle Make (AVM) portfolio of programs is working to develop revolutionary approaches for the design, testing and manufacturing of complex defense systems, with the goal of shortening development timelines by five times or more. Thanks to strong early test results and a new opportunity to transition the technology, DARPA has decided to speed its current AVM successes to the defense industrial base in 2014—years earlier than originally planned.
06/16/2014
Scientists and engineers in DARPA’s Defense Sciences Office (DSO) promote and exploit new discoveries across the frontiers of physics, chemistry, and mathematics to identify and accelerate potentially game-changing technologies for U.S. national security. After recently spinning off biological technologies into a new office, DSO’s investment portfolio, which continues to create new materials and explore the boundaries of physical phenomena, is expanding to include novel approaches to understanding, predicting, designing, and developing engineered complex systems.
09/11/2014
The exponential growth of diverse science data represents an unprecedented opportunity to make substantial advances in complex science and engineering, such as discovery of novel materials or drugs. However, without tools to unify principles, results, models and other kinds of data into a single computational representation, it is difficult to relate data from any one scientific problem or area to the broader body of knowledge.