[hpc-announce] CFP: Big Scientific Data Management, Beijing, China

Bill Howe billhowe at uw.edu
Mon Jul 30 00:29:23 CDT 2018 

=================================================
                                CALL FOR PAPERS

 1st International Conference on Big Scientific Data Management (BigSDM2018)

                         http://bigsdm2018.csdata.org
                    Nov. 30 - Dec. 1, 2018, Beijing, China
             Submission Deadline: September 15th, 2018 (Abstract)

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The 1st International Conference on Big Scientific Data Management
(BigSDM 2018)
will be held in Beijing, China from Nov. 30th to Dec 1st, 2018. The Conference
is jointly organized by Chinese Academy of Sciences, Peking University,
Tsinghua University, Renmin University of China, CWI and MonetDB Solutions.

The theme of BigSDM 2018 is data-driven scientific discovery. The
conference aims at bring together international experts from natural and
computer sciences to explore the life-cycle management of Big Scientific
Data, to discuss major methodologies and key technologies in Big
Data-driven discovery making, to exchange experience and knowledge about
Big Scientific Data across various fields through specific cases, and to
identify the challenges and opportunities in scientific discovery
acceleration. We hope to, through the conference, gather ideas for
fostering new ways of scientific thinking, and promote big data sciences at
large.

The program of BigSDM 2018 features several keynote talks by famous experts
in the important areas of big data sciences. We have invited Barry C.
Barish, the winner of 2017 Nobel Prize in Physics, Huadong Guo who is an
Academician of Chinese Academy of Sciences, and Alexander S. Szalay, the
bloomberg distinguished professor from the Johns Hopkins University to
share their cutting edge technology and views about the big scientific data
management. In the meantime, we are about to invite the principal
researchers from major scientific experiments, such as the Five-
hundred-meter Aperture Spherical radio Telescope (FAST), and major data
projects, such as 'CASEarth' in China to share their experiences in
data-driven scientific discovery. 'CASEarth' is a CAS Strategic Pioneering
Research and Development Programme, focusing on building a global big data
network to study Earth and support research on climate change, as well as
to predict and mitigate natural disasters. The other events include
topic-specific forums and lightning talks.

BigSDM 2018 welcomes researchers, professionals, practitioners, and
officers worldwide in related areas to submit papers and attend the
conference.


==================
TOPICS OF INTEREST
==================

The two-day conference provides an open forum to discuss the opportunities
and
challenges of a big scientific data ecosystem, and to explore best
practices,
standards, architectures and data infrastructures for fostering
cross-disciplinary discovery and innovation.

Topics of interest include, but are not limited to:

* Paradigms for enhancing scientific discovery through big data
* Framework for helping the science and AI communities to work together
* Data cleansing and quality assurance of science data
* Data sharing and preservation policy
* Data management challenges posed by big scientific data

* Machine learning methods to facilitate/accelerate scientific discovery
* Streaming data, sensor networks and complex event processing
* Scientific workflow management
* Science platforms: (hardware/software) tools for data discovery and
analysis
  from different angles
* Storage system for large scale scientific applications
* Cloud technology for big scientific applications
* Scientific data visualisation


================
PAPER SUBMISSION
================

The online submission system is:
https://easychair.org/conferences/?conf=bigsdm2018. Authors may submit
to either
the full paper or short paper track. Full papers should be between 10 to 12
pages in length, and short papers between 6 to 8 pages. All submissions
must be written in English and conform to the Springer LNCS proceedings
format(
http://www.springer.com/cn/computer-science/lncs/conference-proceedings-guidelines).
Accepted papers will be published in LNCS proceeding.


===============
IMPORTANT DATES
===============
All deadlines are at 11:59PM Pacific Time.

Abstract submission: Sept. 15, 2018
Full paper submission: Sept. 22, 2018
Notification to authors: Oct. 20, 2018
Camera-ready deadline: Nov. 2, 2018


============
ORGANIZATION
============

General co-chair
----------------

Xiaofeng Meng, Renmin University of China, China
Martin L. Kersten, University of Amsterdam and CWI, Netherlands
Xuebin Chi, CNIC, Chinese Academy of Sciences, China

Program co-chairs
-----------------

Jianhui Li, CNIC, Chinese Academy of Sciences, China
Ying Zhang, MonetDB Solutions, Netherlands
Bill Howe, University of Washington, USA

Program committee
-----------------

Boyan Kolev, INRIA, France
Chenzhou Cui, National Astronomical Observatories, Chinese Academy of
Sciences, China
Gang Chen, Institute of High Energy Physics, Chinese Academy of Sciences,
China
Georgios Goumas, National Technical University of Athens, Greece
Guoqing Li, Institute of Remote Sensing and Digital Earth, Chinese Academy
of Sciences, China
Holger Pirk, Imperial College London, United Kingdom
Hu Zhan, National Astronomical Observatories, Chinese Academy of Sciences,
China
Jianfeng Zhan, Institute of Computing Technology, Chinese Academy of
Sciences, China
Jianyan Wei, National Astronomical Observatories, Chinese Academy of
Sciences, China
Jose Orlando Pereira, University of Minho, Portugal
Juanle Wang, Institute of Geographic Sciences and Natural Resources
Research, Chinese Academy of Sciences, China
Juncai Ma, Institute of Microbiology, Chinese Academy of Sciences, China
Lei Liu, Fudan University, China
Lei Shi, National Science and Technology Infrastructure Center, China
Lianglin Hu, Computer Network Information Center, Chinese Academy of
Sciences, China
Lizhe Wang, China University of Geosciences, China
Manolis Marazakis, Foundation for Research and Technology-Hellas(FORTH),
Greece
Marta Patieo, Technical University of Madrid, Spain
Mingqi Chen, Administrative Office, Chinese Academy of Sciences, China
Mourad Khayati, University of Fribourg, Switzerland
Nan Tang, Qatar Computing Research Institute, Qatar
Shaowen Wang, University of Illinois Urbana-Champaign, US
Simon Hodson, CODATA (Committee on Data of the International Council for
Science)
Stefan Manegold, Leiden University and CWI, Netherlands
Vasileios Karakostas, National Technical University of Athens, Greece
Xin Li, Institute of Tibetan Plateau Research, Chinese Academy of Sciences,
China
Yangyong Zhu, Fudan University, China
Yong Qi, Xi'an Jiaotong University, China
Yuanchun Zhou, Computer Network Information Center, Chinese Academy of
Sciences, China
Ziming Zou, National Space Science Center, Chinese Academy of Sciences,
China
Zhihong Shen, Computer Network Information Center, Chinese Academy of
Sciences, China
Zhihui Du, Tsinghua University, China


Publicity co-chairs
-------------------

Xin Chen, CNIC, Chinese Academy of Sciences, China
Yang Zhang, CNIC, Chinese Academy of Sciences, China

Local organization co-chairs
----------------------------

Zhihong Shen, CNIC, Chinese Academy of Sciences, China
Hui Zhang, CNIC, Chinese Academy of Sciences, China

Publication co-chairs
---------------------

Lei Zou, Peking University, China
Wenjuan Cui, CNIC, Chinese Academy of Sciences, China

Organizers
----------

Computer Network Information Center, Chinese Academy of Sciences
Renmin University of China
Tsinghua University
Peking University
Centrum Wiskunde & Informatica
MonetDB Solutions

Supporters
----------

Institute of Computing Technology, Chinese Academy of Sciences
Institute of Microbiology, Chinese Academy of Sciences
The Institute of High Energy Physics, Chinese Academy of Sciences
National Astronomical Observatories, Chinese Academy of Sciences
Xi'an Jiaotong University, China

Sponsors
--------

Chinese Academy of Sciences (CAS)
National Natural Science Foundation of China (NSFC)
Ministry of Science and Technology of People's Republic of China
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