[hpc-announce] ICCS 2018 Workshop on Data Driven Computational Sciences (DDCS 2018)

[Craig C. Douglas]

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.

Web sites:

https://www.iccs-meeting.org/iccs2018/call-for-papers/
http://www.dddas.org/ddcs2018.html

Objective:

We will accept great research in all of data driven computional sciences 
based on 2-3 unbiased referee reports.

Lengthy Description:

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 <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 
<http://www.wsj.com/articles/how-heathrow-airport-cut-down-on-flight-delays-1442423115>]. 
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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