学会員メーリングリストアーカイブ (2019年)

[dbjapan] CFP: The 4th International Workshop on Application of Big Data for Computational Social Science (7/10〆切)

  • To: dbjapan [at] dbsj.org
  • Subject: [dbjapan] CFP: The 4th International Workshop on Application of Big Data for Computational Social Science (7/10〆切)
  • From: Mitsuo Yoshida <yoshida [at] cs.tut.ac.jp>
  • Date: Wed, 12 Jun 2019 16:08:13 +0900

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,2019年10月にテッサロニキ(ギリシャ)で開催される WI2019
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。
昨年までは IEEE BigData で実施していましたが,今年は Web Intelligence (WI) での企画となります。
論文はACMフォーマットで最大8ページを受け付け,採録された論文は ACM Digital Library に掲載される見込みです。
論文の締切は2019年7月10日です。多数のご投稿をお待ちしています。
https://css-japan.com/abcss2019/
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=90694

======================================
The 4th International Workshop on Application of Big Data for
Computational Social Science (ABCSS2019 @ WI2019)
(WI2019 Workshop)
https://css-japan.com/abcss2019/
======================================

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
October 14-19, 2019, MET HOTEL (Thessaloniki, Greece)
In conjunction with Web Intelligence 2019 (WI2019)
https://webintelligence2019.com/

* 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
- July 10, 2019
Workshop Papers submission
- August 7, 2019
Notification of Acceptance/Rejection
- August 20, 2019
Final, Camera Ready Papers, Due
- October 14-19, 2019
Main Conference and Workshops

* SUBMISSION
We accept papers of up to 8 pages.
- Paper Submission Page
http://bit.ly/abcss2019submission

Submitted papers should be formatted to the ACM Proceedings Manuscript
Formatting Guidelines (see link to below).
https://www.acm.org/publications/proceedings-template

All registered papers that presented in this workshop will be
submitted to ACM 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
Fujio Toriumi, The University of Tokyo, Informatics
Akira Ishii, Tottori University, Social Physics
Hiroki Takikawa, Tohoku University, Sociology
Mitsuo Yoshida, Toyohashi University of Technology, Informatics
Isamu Okada, Soka University, Informatics

Drop us an email at abcss2019 [at] ss.cs.tut.ac.jp if you have any questions.

* Program Committee Members
Kimitaka Asatani, The University of Tokyo
Takashi Kamihigashi, Kobe University
Yasuko Kawahata, Gunma University
Tetsuro Kobayashi, City University of Hong Kong
Satoshi Kurihara, Keio University
Asako Miura, Osaka University
Makoto Mizuno, Meiji University
Takayuki Mizuno, National Institute of Informatics
Yuki Ogawa, Ritsumeikan University
Takeshi Sakaki, Hotto Link Inc.
Takuto Sakamoto, The University of Tokyo
Kazutoshi Sasahara, Nagoya University
Yoshimichi Sato, Tohoku University
Naoki Sudo, Gakushuin University
Toshiharu Sugawara, Waseda University
Yoshihiko Suhara, Megagon Labs
Masanori Takano, CyberAgent, Inc.
Hideaki Takeda, National Institute of Informatics
Shinichi Yamaguchi, GLOCOM
Hitoshi Yamamoto, Rissho University
Koichi Yasutake, Hiroshima University