[hpc-announce] ICCS 2018 Workshop on Data Driven Computational Sciences (DDCS 2018)
Craig C. Douglas
craig.c.douglas at gmail.com
Wed Jan 31 20:10:12 CST 2018
This is a reminder that papers (long or short) or abstract only
proposals are due February 26, 2018 through the ICCS web site and
EasyChair. The ICCS conference will be in Wuxi, China on June 11-13, 2018.
We will accept great research in all of data driven computional sciences
based on 2-3 unbiased referee reports.
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
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 <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.
*Craig C. Douglas*
School of Energy Resources Distinguished Professor of Mathematics
University of Wyoming Mathematics Dept.
1000 E. University Ave., Dept. 3036, Laramie, WY 82071, USA
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