DDDAS2022 Conference, October 6-10, 2022

InfoSymbiotics/Dynamic Data Driven Applications Systems (DDDAS2022)

On behalf of the Organizing Committee of the 4th International Conference on InfoSymbiotics/Dynamic Data Driven Applications Systems (DDDAS2022”[1]), it is our pleasure to invite your participation in the conference to be held on October 6-10, 2022, in Cambridge, Massachusetts. The conference will be in hybrid mode (as in-person and remotely), and proceedings will be published by Springer (paper submissions and other details are posted at www.1dddas.org).

DDDAS2022 continues and expands the path set of prior DDDAS forums on research advances and Science and Technology capabilities, stemming from the Dynamic Data Driven Applications Systems (DDDAS) paradigm, whereby instrumentation data are dynamically integrated into an executing application model while in reverse the executing model controls the instrumentation. DDDAS plays a key role in creating capabilities advances in many application areas and is also driving advances in foundational methods, through system-level (as well as subsystems-level) representation, that includes comprehensive, principle- and physics-based models and instrumentation, uncertainty quantification, estimation, observation, sampling, planning and control.  The DDDAS paradigm has shown the ability to engender new capabilities in (but not limited to) aerospace, bio-, cyber-, geo-, space-, and medical sciences, as well as critical infrastructure security, resiliency, and performance; the scope of application areas ranges “from the nano-scale to the extra-terra-scale”.

DDDAS focuses on “Systems” analysis, prediction of behaviors and operational control, all of which entail multidisciplinary collaborative research and advances in fundamental areas such as stochastic systems, modeling, simulation, sensing, information fusion, inference, planning, control, decision support, learning, optimization and awareness; and permeates a great many topics of contemporary interest, such as Informative approaches for Estimation, Control and (Machine) Learning, Planning and Decision support; Network design, and to quantify utility of modeling to deal with Big Data. In Computation, it structures resources optimally and, most recently, in Quantum Computation (QC), DDDAS provides mechanisms for Sample and Query operators, as well as utilizing the prospect of QC for more efficient closed-loop symbiosis.  In test and evaluation (T&E), DDDAS creates capabilities for lifetime assessment and optimization of the performance of components and systems incorporating them. This year’s expanded conference scope will showcase additional topics, including: biofluidic imaging and control, natural hazards and climate grand challenges, advanced dynamic data driven modeling for threat-awareness effects, and the role of DDDAS in enabling and supporting the optimized design and operation of 5G and Beyond5G networking infrastructures.

The DDDAS community has made significant progress in closing the loop among Data, Information, and Knowledge, through improved modeling processes, understanding and mitigating model error with the aid of instrumentation measurements, and controlling the instrumentation to turn the Big Data deluge into informative regimes.  Identified new opportunities in QC and T&E are expanding the impact of DDDAS.

The conference is a forum to present and discuss advances, and opportunities for advances, in a wide set of application areas and their underlying foundational methods. Participants from academia, industry, government, and international counterparts will report original work where DDDAS research is advancing scientific frontiers, engendering new engineering capabilities, and adaptively optimizing operational processes.  The conference spans a broad set of topics and interests as delineated above.

We invite you to submit a paper (of up to 8 pages in length, including title and abstract, in the Springer format, as per detailed instructions provided in the www.1dddas.org webpage). The submission process (through https://easychair.org/conferences/?conf=dddas2022.) includes the following steps:

  1. Title and ½ page abstract due by July 10, 2022; [please include title, authors and institution]
  2.  Full paper submission by July 15, 2022; 8 pages; [ submission format information ]
  3. The papers will be reviewed, and submitters will be notified on August 1, 2022, on their paper’s acceptance and possible revisions for consideration as plenary presentation or as poster;
  4. Final paper – will be due by August 15, 2022.

Papers presented (for either presentation type) will be published as Conference Proceedings by Springer.

Erik Blasch and Sai Ravela, DDDAS2022 Conference co-Chairs

Frederica Darema, Nurcin Celik, Carlos Varela, Alex Aved, DDDAS2022 Program Committee co-Chairs

Program Committee – TBA

Keynotes – TBA

Registration Process – TBA

[1] The DDDAS/InfoSymbiotics2022, is following a number of past DDDAS forums, starting in 2003 with the DDDAS Workshops in conjunction with ICCS, and over these years additional forums (Conferences, Workshops, and Principal Investigator meetings) have been convened, including the standalone DDDAS/InfoSymbiotics forums,  in 2014, 2016, 2017, 2020 – …, all of  which can be accessed through www.1dddas.org, and Springer Conference Publications.  Notably the DDDAS2020 Conference Proceedings by Springer have had over 28,000 accesses.