The 3rd International Workshop on Application of Big Data for Computational Social Science (CSS @ IEEE BigData 2018)


IEEE BigData 2018 Workshop

The 3rd International Workshop on Application of Big Data for Computational Social Science

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

(TBD)
December 10-13, 2018, Seattle, WA, USA
In conjunction with The 2018 IEEE International Conference on Big Data (IEEE BigData 2018)

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
Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to “formatting instructions” below).
Formatting Instructions:
– 8.5″ x 11″ (DOC, PDF)
LaTex Formatting Macros

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

Past Workshops