Fwd: IEEE BigData2017 Workshop for Computational Social Science

SH
Scott Hale
Sun, Sep 10, 2017 2:39 PM

With apologies for cross-posting....

===
CALL FOR PAPERS

IEEE BigData2017 Workshop
The 2nd International Workshop on Application of Big Data for Computational
Social Science 2017
Dec. 11-14, 2017
Boston, MA, USA


SUBMISSIONS DUE: Sep. 30, 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.”

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

  • Sep. 30, 2017: Due date for 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
Society Proceedings Manuscript Formatting Guidelines. See link to
formatting instructions below:
https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submit.php?subarea=BigD
Please submit your paper here:
http://bit.ly/bdcss2017submission

CO-CHAIRS

Akira Ishii, Tottori University
Kazutoshi Sasahara, Nagoya University
Hiroki Takikawa, Tohoku University
Fujio Toriumi, The University of Tokyo

PROGRAM COMMITTEE MEMBERS

Kimitaka Asatani, The University of Tokyo
Pete Burnap, Cardiff University
Xiaojie Chen, University of Electronic Science and Technology of China
Giovanni Luca Ciampaglia, Indiana University Network Science Institute
Kaoru Endo, Gakushuin University
Dirk Helbing, ETH Zurich
Takashi Kamihigashi, Kobe University
Yasuko Kawahata, The University of Tokyo
Masashi Komori, Osaka Electro-communication University
Asako Miura, Kwansei Gakuin University
Makoto Mizuno, Meiji University
Takayuki Mizuno, National Institute of Informatics
Isamu Okada, Soka University
Yuki Ogawa, Ritsumeikan University
Takeshi Sakaki, Hottolink Co. Ltd.
Takuto Sakamoto, The University of Tokyo
Akihiro Sato, Kyoto University
Satoru Shibuya, Gakushuin University
Naoki Sudo, Gakushuin University
Yoshihiko Suhara, Recruit Institute of Technology
Masanori Takano, Cyberagent
Onur Varol, Northeastern University Networks Science Institute
Matthew L. Williams, Cardiff University
Shinichi Yamaguchi, International University of Japan
Mitsuo Yoshida, Toyohashi University of Technology
Jonathan Zhu, City University of Hong Kong

--
Dr Scott Hale
Senior Data Scientist
Oxford Internet Institute, University of Oxford
Turing Fellow, Alan Turing Institute
http://www.scotthale.net/
scott.hale@oii.ox.ac.uk

With apologies for cross-posting.... === CALL FOR PAPERS IEEE BigData2017 Workshop The 2nd International Workshop on Application of Big Data for Computational Social Science 2017 Dec. 11-14, 2017 Boston, MA, USA ***************************************** SUBMISSIONS DUE: Sep. 30, 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.” 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 - Sep. 30, 2017: Due date for 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 Society Proceedings Manuscript Formatting Guidelines. See link to formatting instructions below: https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submit.php?subarea=BigD Please submit your paper here: http://bit.ly/bdcss2017submission CO-CHAIRS Akira Ishii, Tottori University Kazutoshi Sasahara, Nagoya University Hiroki Takikawa, Tohoku University Fujio Toriumi, The University of Tokyo PROGRAM COMMITTEE MEMBERS Kimitaka Asatani, The University of Tokyo Pete Burnap, Cardiff University Xiaojie Chen, University of Electronic Science and Technology of China Giovanni Luca Ciampaglia, Indiana University Network Science Institute Kaoru Endo, Gakushuin University Dirk Helbing, ETH Zurich Takashi Kamihigashi, Kobe University Yasuko Kawahata, The University of Tokyo Masashi Komori, Osaka Electro-communication University Asako Miura, Kwansei Gakuin University Makoto Mizuno, Meiji University Takayuki Mizuno, National Institute of Informatics Isamu Okada, Soka University Yuki Ogawa, Ritsumeikan University Takeshi Sakaki, Hottolink Co. Ltd. Takuto Sakamoto, The University of Tokyo Akihiro Sato, Kyoto University Satoru Shibuya, Gakushuin University Naoki Sudo, Gakushuin University Yoshihiko Suhara, Recruit Institute of Technology Masanori Takano, Cyberagent Onur Varol, Northeastern University Networks Science Institute Matthew L. Williams, Cardiff University Shinichi Yamaguchi, International University of Japan Mitsuo Yoshida, Toyohashi University of Technology Jonathan Zhu, City University of Hong Kong -- Dr Scott Hale Senior Data Scientist Oxford Internet Institute, University of Oxford Turing Fellow, Alan Turing Institute http://www.scotthale.net/ scott.hale@oii.ox.ac.uk