[dbjapan] CFP: The 3rd International Workshop on Application of Big Data for Computational Social Science (9/30〆切)

[Mitsuo Yoshida <yoshida [at] cs.tut.ac.jp>]

日本データベース学会の皆さま
# 重複して受け取られた場合はご容赦ください

豊橋技術科学大学の吉田です，こんにちは。

計算社会科学研究会では，2018年12月にシアトルで開催される IEEE BigData 2018
において，計算社会科学（Computational Social Science）に関するワークショップを企画しています。
このワークショップでは，大規模社会データ分析研究，社会シミュレーションによる理論的研究，バーチャルラボ（ウェブを使った大規模行動実験）による実験的研究，ソーシャルメディア分析などを使い，人間行動や社会現象を理解することを目指した研究論文を募集します。
論文は full papers (up to 10 pages), extended abstracts (2-4 pages)
を受け付け，採録された論文は IEEE Xplore に掲載される見込みです。
論文の締切は2018年9月30日です。多数のご投稿をお待ちしています。
https://css-japan.com/bigdatacss2018/
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=80383

======================================
The 3rd International Workshop on Application of Big Data for
Computational Social Science
(IEEE BigData 2018 Workshop)
https://css-japan.com/bigdatacss2018/
======================================

Contemporary social sciences are facing a serious paradigm shift
because of the developments in computer and Internet technologies,
though traditional social sciences are still very important.
Big data, such as digital traces of online activities and mobility
records, allows us to quantify human behavior and social phenomena at
a fine-grained level, yet it is global in scale, thereby complementing
experimental data and theoretical and computational simulation
results.
In some cases, we can even employ the methods of natural sciences,
including physics, chemistry or biology, in order to analyze big data.
From this perspective, we will organize the workshop of “applications
of big data for computational social science.”
The scopes of the workshop include the applications of big data, as
well as the methods for collecting and using big data for
computational social science.
Moreover, theoretical frameworks and computational techniques for big
data are also very important topics in our workshop.
In this workshop, social sciences are not limited to sociology,
economics, marketing, political science, but also include informatics,
complexity science, econophysics, sociophysics, culturomics and the
arts.

* DATE & PLACE
December 10-13, 2018, Westin Seattle (Seattle, WA, USA)
In conjunction with The 2018 IEEE International Conference on Big Data
(IEEE BigData 2018)
http://cci.drexel.edu/bigdata/bigdata2018/

* RESEARCH TOPICS
- Application of Sociology/Sociophysics using Big Data
- Application of Econometric/Econophysics using Big Data
- Social Media Data analyses from economic/political/social perspective
- Informatics using social Big Data
- Marketing science using social Big Data
- Business analytics using Big Data on consumer behavior
- Culturomics and art management
- Analysis of reputation of entertainment using Big Data

* IMPORTANT DATES
- September 30, 2018
Due date for full workshop papers submission
- November 1, 2018
Notification of paper acceptance to authors
- November 15, 2018
Camera-ready of accepted papers
- December 10-13, 2018
Main Conference and Workshops

* SUBMISSION
We accept full papers (up to 10 pages, 6 to 8 pages are recommended)
and extended abstracts (2-4 pages).
- Paper Submission Page
http://bit.ly/bigdatacss2018submission
- Formatting Instructions:
ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.doc (Word)
ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.pdf (PDF)
– LaTex Formatting Macros
ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_CS_Latex8.5x11x2.zip

All registered papers that presented in this workshop will be
submitted to IEEE Xplore Digital Library with main conference papers,
and will be submitted into some indexing system such as Web of
Science, Scopus, DBLP and others.

* Main Chairs
Akira Ishii, Tottori University, Social Physics
Hiroki Takikawa, Tohoku University, Sociology
Fujio Toriumi, The University of Tokyo, Informatics
Mitsuo Yoshida, Toyohashi University of Technology, Informatics
Drop us an email at bigdatacss2018 [at] ss.cs.tut.ac.jp if you have
any questions.

* Program Committee Members
Kimitaka Asatani, The University of Tokyo, Artificial Intelligence
Pete Burnap, Cardiff University
Xiaojie Chen, University of Electronic Science and Technology of China
Giovanni Luca Ciampaglia, Indiana University Network Science
Institute, Infomatics
Kaoru Endo, Gakushuin University
Dirk Helbing, ETH Zurich, Switzerland, Computational Social Science
Takashi Kamihigashi, Kobe University, Economics
Yasuko Kawahata, Gunma University, Computational Social Science
Masashi Komori, Osaka Electro-communicaiton University, Social Psychology
Asako Miura, Kwansei Gakuin University, Social Psychology
Makoto Mizuno, Meiji University, Marketing
Takayuki Mizuno, National Institute of Informatics, Data Science
Isamu Oada, Soka University
Yuki Ogawa, Ritsumeikan University
Takeshi Sakaki, Hottolink Co.Ltd., Natural Language Processing
Takuto Sakamoto, The University of Tokyo
Kazutoshi Sasahara, Nagoya University, Complexity Science
Aki-hiro Sato, Kyoto University, Econophysics
Satoru Shibuya, Gakushuin University, Economics
Naoki Sudo, Gakushuin Univeristy, Sociology
Yoshihiko Suhara, Recruit Institute of Technology, Informatics
Masanori Takano, CyberAgent, Inc. Computational Social Science
Onur Varol, Indiana University Bloomington, Infomatics
Matthew L. Williams, Cardiff University
Shinichi Yamaguchi, International University of Japan, Econometrics
Jonathan Zhu, City University of Hong Kong, Computational Social Science

--
Mitsuo Yoshida < yoshida [at] cs.tut.ac.jp >
Department of Computer Science and Engineering,
Toyohashi University of Technology
Room: C3-308  Phone: +81-532-44-6629
http://www.cs.tut.ac.jp/~yoshida/