Dynamic Data-Driven Application Systems


Data-Driven Computational Sciences 2016 Workshop
(the scientific successor to the Dynamic Data-Driven Application System Workshops)

Part of the ICCS 2016 Conference, June 5-8, 2016 in San Diego, USA

http://www.iccs-meeting.org/iccs2016, http://www.dddas.org/dddas2016.html, and http://www.dddas.org/iccs2016.html


In the late 1960's, simple data assimilation revolutionarily transformed science in fields based on satellite data. Both NASA and NCAR produced stunningly revolutionary applications. The oil and gas industry jumped on this concept in the early to mid 1970's creating commercial data assimilation pipeline products by multiple vendors that were used in more than 165 countries in short order. This led to intelligent data assimilation being the normal way to operate a reservoir or pipeline networks by the 1990's by all of the major oil producers. Since the early 2000's, government grant agencies (e.g., the National Science Foundation) applied this concept to update numerous fields creating astonishing improvemnts in simulations that continue to this day in many application areas.

A data-driven computational system is the integration of a simulation with dynamically and intelligently assimilated data, multiscale modeling, computation, and a two way interaction between the model execution and the data acquisition methods (see the DDDAS Scientific Community Web Site, http://www.dddas.org). The workshop will present opportunities as well as challenges and approaches in technology needed to enable Data-Driven Computational Science capabilities in applications, relevant algorithms, and software systems. All related areas in Data-Driven Sciences are included in this workshop, including CyberPhysical Systems like HealthKit on iPhones and iPads as well as similar systems developed by Intel, Google, and Microsoft for phones and tablets, Internet of Things (IoT), Cloud of Things (CoT), and Data Intensive Scientific Discovery (DISD).

A recent example is a tranformative way of landing airplanes on time and reduce delays and cancellations is a process known as Time Based Flow Systems (TBFS) [UKNATS]. It spaces planes by space instead of by time. The first of these systems was developed for Heathrow Airport by Lockheed Martin for the British National Air Traffic Services and fully deployed in May, 2015. It has reduced flight cancellations due to wind by exactly 100% and flight delays by approximately 40% during the period of May - August, 2015.


From 2004 through 2014 there was a Dynamic Data-Driven Application System (DDDAS) Workshop at ICCS. In 2015 the workshop splintered into 1) for projects funded by the U.S. Air Force Office of Scientific Research (AFOSR), and 2) for everyone else. The division was caused by politics in a U.S. funding agency. This is the dynamic data-driven workshop for everyone who wants to publish great research in data driven computional sciences and expects 2-3 unbiased referee reports.

Important Dates*:

15 December 2015 Creation of paper title and abstract on ICCS 2016 conference web site
15 February 2016 Submission of full paper
15 March 2016 Notification of acceptance or revision requirements for acceptance
31 March 2016 Camera ready version of paper submitted
10 March - 22 April 2016 Author registration (your accepted paper will be dropped on 23 April 2016)
5-8 June 2016 Conference (DDDAS 2016 Workshop on 6 June 2016)
* Last updated on 2 February 2016.


Craig Douglas (University of Wyoming)
Abani Patra (University of Buffalo)
Ana Cortés (Universitat Autònoma de Barcelona)
Robert Lodder (University of Kentucky)

DDDAS 2016 Virtual Proceedings


This website has been established and is maintained by Prof. Craig C. Douglas.
©2014-2016 by www.dddas.org and Craig C. Douglas