DDDAS Forums (Conferences, Workshops, Panels, etc)

Starting in 2000 the research community has convened numerous DDDAS related activities, including conferences, workshops, panels, and numerous other forums, as listed below:

  • DDDAS 2022, Boston, MA; October, 2022
  • DDDAS 2020, Boston, MA; October, 2020
  • AFOSR 2018 Principal Investigator Workshop, Rome, NY; September 18-20, 2018
  • AFOSR 2017 Principal Investigator Workshop, Dayton, OH; September 18-20, 2017
  • DDDAS 2017, Cambridge, MA; September 18-20, 2017
  • Infosymbiotics/DDDAS 2016 Workshop, Hartford, CT; August 9-12, 2016
  • ICCS 2015 Minisymposium on DDDAS, Reykjavik, Iceland; June 1-3, 2015
  • ICCS 2014 Minisymposium on DDDAS, Cairns, Australia; June 10-12, 2014
  • AFOSR 2013 Principal Investigator Workshop, Arlington, VA; September 30 – October 2, 2013
  • ICCS 2013 Minisymposium on DDDAS, Barcelona, Spain; June 5-7, 2013
  • ICCS 2012 Minisymposium on DDDAS,O maha, NE, USA; June 4-6, 2012
  • ICCS 2011 Minisymposium on DDDAS, Singapore; June 1-3, 2011
  • AFOSR-NSF 2010 Dynamic Data-Driven Applications Systems (DDDAS) – InfoSymbiotic Systems Workshop, Arlington, VA; August 30-31, 2010
  • ICCS 2010 Minisymposium on DDDAS, Amsterdam, The Netherlands;
    May 31 – June 2, 2010
  • ICCS 2009 Minisymposium on DDDAS, Baton Rouge, LA, USA; May 25-27, 2009
  • ICCS 2008 Minisymposium on DDDAS, Krakow, Poland; June 23-25, 2008
  • IPDPS 2008 Session on Data Driven Science, Miami, Florida; April 14, 2008
  • ICCS 2007 Minisymposium on DDDAS, Beijing, P.R. China; May 27-30, 2007
  • Winter Simulation Conference 2006 Dynamic Data Driven Application Simulation, Monterey, CA, USA; December 4, 2006
  • ICCS 2006 Minisymposium on DDDAS, Reading, UK; May 28-31, 2006
  • National Science Foundation Workshop on DDDAS, Arlington, VA; January 19-20, 2006
  • National Science Foundation Workshop on Simulation-Based Engineering Science, Arlington, VA; September 7-8, 2005
  • ICCS 2005 Minisymposium on DDDAS, Atlanta, GA, USA; May 22-25, 2005
  • ICCS 2004 Minisymposium on DDDAS, Krakow, Poland; June 7-8, 2004
  • ICCS 2003 Minisymposium on DDDAS, Melbourne, Australia; June 2-3, 2003
  • National Science Foundation Workshop on DDDAS, Arlington, VA; March 8-10, 2000

Other Highlights:

2010 AFOSR and NSF Workshop, 30 Aug – 1 Sept, workshop agenda, report
The 2014 DDDAS Program PI Meeting was held December 1-3, 2014 at the IBM Thomas J Watson Research Center, Yorktown Heights, NY. Agenda for the DDDAS Program PI Meeting 2014 and presentations.

Starting in 2000 the research community has organized numerous DDDAS related activities, to include workshops, panels and numerous forms which are listed below.

ASME/ADTEC2014 – DDDAS Keynotes and Panel

Keynote 1: Dynamic Data Driven Application Systems (DDDAS) by Dr. Frederica Darema, AFOSR Manager Keynote2: Top Ten Ways that DDDAS Can Save the World by Prof. Sangtae Kim, Purdue University

Abstract: The DDDAS (Dynamic Data-Drive Application System) paradigm is now firmly established as a powerful framework for the integration of theoretical, experimental and computational approaches to better understand complex natural phenomena and to furnish more robust solutions to urgent societal challenges. This is especially true in the current context where “big data” meets “dynamic data” across disciplinary boundaries. In this vein and as we approach two decades of DDDAS efforts across a broad spectrum of the STEM landscape, we consider a “top ten” list/format as a way to catalog successes from the past and to project unexpected opportunities of the future.

AFOSR Panel: Dynamic Data Driven Application Systems (DDDAS) in the Age of Big Compute and Big Data, Moderators: Young-Jun Son and Abani Patra
Abstract: The DDDAS paradigm and constituent methodologies are creating transformative advances in areas as wide ranging as smart materials and grids to unmanned aerial systems, volcanic ash tracking, and manufacturing. While the early years have produced impressive results, the true power of the DDDAS paradigm is being made more apparent now that ubiquitous big data and big compute enable the infrastructures for computing and analysis implicit in the success of the DDDAS methods. This panel brings together a broad range of experts in the application domains as well as core DDDAS methodologies. The panel will highlight examples of advances enabled through DDDAS and will also address critical challenges in uncertainty quantification, dynamic data assimilation, and dynamical systems that can be effectively exploited through DDDAS methods, to created advanced capabilities in complex engineered systems and processes.


The International Conference for High Performance Computing, Networking, Storage and Analysis (SC’14)

Panel: InfoSymbioticSystems/DDDAS – The Power of Dynamic Data Driven Application Systems and The Next Generation of Big-Computing and Big-Data
Abstract: Dynamic Data-Driven Application Systems (DDDAS) is a paradigm whereby application simulation-models of natural and engineered systems become a symbiotic feedback control system with the application’s instrumentation-measurements. Through this dynamic integration across computing and instrumentation DDDAS creates new capabilities for more accurate analysis, prediction, and control in application systems. The instrumentation-data considered, real-time or archival, and resulting from heterogeneous sensor- and actuation-networks and mobile devices, are the next wave of Big-Data. DDDAS enables intelligent management of such Big Data and extends the traditional notions of Big-Computing to encompass the diverse range of platforms from the exa-scale, to sensors and controllers, and to mobile systems. The panel will discuss new DDDAS-enabled and DDDAS-driven capabilities in important application areas such as civilian and national security infrastructures; environmental systems; medical care systems; privacy and security; systems software and hardware supporting DDDAS environments and in the context of commonalities in underlying exa-scale and sensor-scale technologies.
Moderator/Panelist Details:

Workshop DescriptionsICCS/DDDAS Workshop Series

This workshop covers several aspects of the Dynamic Data Driven Applications Systems (DDDAS) concept, which is an established approach defining a symbiotic relation between an application and sensor based measurement systems. Applications can accept and respond dynamically to new data injected into the executing application. In addition, applications can dynamically control the measurement processes. The synergistic feedback control-loop between an application simulation and its measurements opens new capabilities in simulations, e.g., the creation of applications with new and enhanced analysis and prediction capabilities, greater accuracy, longer simulations between restarts, and enable a new methodology for more efficient and effective measurements. DDDAS transforms the way science and engineering are done with a major impact in the way many functions in our society are conducted, e.g., manufacturing, commerce, transportation, hazard prediction and management, and medicine. The workshop will present such new opportunities as well as the challenges and approaches in technology needed to enable DDDAS capabilities in applications, relevant algorithms, and software systems. The workshop will showcase ongoing research in these aspects with examples from several important application areas. All related areas in Data-Driven Sciences are included in this workshop.

IPDPS Workshop Series

This workshop provides a forum for an overview, project presentations, and discussion of the research fostered and funded by the NSF Next Generation Software (NGS) Program.  The program announced in October of 1998, has had several calls for proposals (in FY99, FY01, FY02,
FY03, and FY04), and supports research in two broad technical thrusts: One is in developing Technology for Performance Engineered Systems
(TPES) for the Design, Management and Runtime Support of Computing Systems and Applications.  The other thrust (Complex Application Development Support Systems – CADSS) seeks to create new systems’ software technology, including enhanced compiler capabilities, and tools for the development, runtime support and dynamic composition of complex applications executing on complex computing platforms, such as Computational Grids, assemblies of embedded systems and sensor systems, as well as high-end platforms (Grids-in-a-Box) and special purpose processing systems.