ABSTRACT
The novel capabilities to be created in the Dynamic Data Driven Applications Systems (DDDAS) context, are applications/simulations that can dynamically accept and respond to measurement-data dynamically injected into the application at execution time, and ability of the executing applications to dynamically control such measurements. This new paradigm has the potential to transform the way science and engineering are done, and induce a major beneficial impact in the way many functions in our society are conducted, such as manufacturing, commerce, transportation, hazard prediction/management, and medicine, to name a few. To achieve such goals, fundamental and multidisciplinary collaborative research is needed in applications, in mathematical algorithms, and in systems software, to enable DDDAS capabilities.
