Session: Dynamic Data Driven Application Systems
  Chair: Frederica Darema (CISE/NSF)
  Time: Thursday, November 20, 12:00PM - 1:00PM
  Rm #: 23
  Frederica Darema (CISE/NSF)
  This BOF will discuss the capabilities, research challenges and opportunities to enable Dynamic Data Driven Application Systems (DDDAS). DDDAS entails the ability to incorporate additional data into an executing application (these data can be archival or collected on-line), and reversely applications will be able to dynamically steer the measurement process. Such capabilities offer the promise of augmenting the analysis and prediction capabilities of application simulations and the effectiveness of measurement systems. Enabling DDDAS requires advances in the application modeling methods and interfaces, in algorithms tolerant to perturbations of dynamic data injection and steering, and in systems software to support the dynamic environments of concern here. Research and development of such technologies requires synergistic multidisciplinary collaboration in the applications, algorithms, software systems, and measurements systems areas, and involving researchers in basic sciences, engineering, and computer sciences.

The BOF will address specifics on such technology challenges, research funding opportunities, and examples of funded projects.

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