The 4th International Workshop on Application of Big Data for Computational Social Science (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
- 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
|July 10, 2019||Workshop Papers submission|
|August 7, 2019||Notification of Acceptance/Rejection|
|August 20, 2019||Final, Camera Ready Papers, Due|
|October 14, 2019||Workshops|
All workshops have common dates of paper submission and notification. This was decided by the WI organizing committee.
We accept papers of up to 8 pages. Submitted papers will undergo a peer review process, coordinated by the Program Committee Members of our workshop.
– Paper Submission Page
Submitted papers should be formatted to the ACM Proceedings Manuscript Formatting Guidelines (see link to below).
– ACM Master Article 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.
- 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
Journal Special Issue
We are planning a special issue of Information (MDPI journal) in connection with this workshop.
Selected papers which were presented at the workshop are invited to be submitted as extended versions to this Special Issue of the journal Information after the conference. Each submission to this journal issue should contain at least 50% of new material, e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases.
Information (ISSN 2078-2489; CODEN: INFOGG) is a scientific peer-reviewed open access journal of information science and technology, data, knowledge, and communication, and is published monthly online by MDPI. It is indexed by EI Compendex, Scopus (Elsevier), Emerging Sources Citation Index (ESCI – Web of Science) and other databases. Manuscripts are peer-reviewed and a first decision provided to authors approximately 16.5 days after submission; acceptance to publication is undertaken in 4.8 days: http://www.mdpi.com/journal/information.