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，2018年12月にシアトルで開催される IEEE BigData 2018 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。 論文は full papers (up to 10 pages), extended abstracts (2-4 pages) を受け付け，採録された論文は IEEE Xplore に掲載される見込みです。 論文の締切は2018年9月30日です。多数のご投稿をお待ちしています。 https://css-japan.com/bigdatacss2018/ http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=80383 ====================================== The 3rd International Workshop on Application of Big Data for Computational Social Science (IEEE BigData 2018 Workshop) https://css-japan.com/bigdatacss2018/ ====================================== 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 December 10-13, 2018, Westin Seattle (Seattle, WA, USA) In conjunction with The 2018 IEEE International Conference on Big Data (IEEE BigData 2018) http://cci.drexel.edu/bigdata/bigdata2018/ * 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 http://bit.ly/bigdatacss2018submission - Formatting Instructions: ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.doc (Word) ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.pdf (PDF) – LaTex Formatting Macros ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_CS_Latex8.5x11x2.zip 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 -- Mitsuo Yoshida < yoshida@cs.tut.ac.jp > Department of Computer Science and Engineering, Toyohashi University of Technology Room: C3-308 Phone: +81-532-44-6629 http://www.cs.tut.ac.jp/~yoshida/