The 2nd International Workshop on Application of Big Data for Computational Social Science 2017


IEEE BigData2017 Workshop

The 2nd International Workshop on Application of Big Data for Computational Social Science 2017

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

Date: Dec 11-14, 2017
Venue: The Westin Copley Place, Boston in Boston, MA,USA

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 DAYS

Sept. 30, 2017:Due date for full workshop papers submission
Nov.1, 2017: Notification of paper acceptance to authors
Nov.15, 2017: Camera-ready of accepted papers
Dec. 11-14, 2017:Workshops

SUBMISSION

We accept full papers (up to 10 pages, 6 to 8 pages are recommended) and extended abstracts (2-4 pages). Papers should be formatted to IEEE Computer:
1)Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines
Formatting Instructions:
8.5″ x 11″ (DOC, PDF)
LaTex Formatting Macros
2)Although we accept submissions in the form of PDF, PS, and DOC/RTF files, you are strongly encouraged to generate a PDF version for your paper submission if your paper was prepared in Word.

Please submit your paper here.


Main Chairs

Akira Ishii, Tottori University, Social Physics
Kazutoshi Sasahara, Nagoya University, Complexity Science
Hiroki Takikawa, Tohoku University, Sociology
Fujio Toriumi, The University of Tokyo, Informatics

 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, The University of Tokyo, Culturomics
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,
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, Computational Social Science
Onur Varol, Indiana University Bloomington, Infomatics
Matthew L. Williams Cardiff University
Shinichi Yamaguchi, International University of Japan, Econometrics
Mitsuo Yoshida, Toyohashi University of Technology, Informatics
Jonathan Zhu City University of Hong Kong