dbjapanメーリングリストアーカイブ(2019年)
[dbjapan] CFP: The 4th International Workshop on Application of Big Data for Computational Social Science (7/19〆切)
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- Subject: [dbjapan] CFP: The 4th International Workshop on Application of Big Data for Computational Social Science (7/19〆切)
- From: Mitsuo Yoshida <yoshida [at] cs.tut.ac.jp>
- Date: Wed, 3 Jul 2019 08:10:24 +0900
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,2019年10月にテッサロニキ(ギリシャ)で開催されるWI2019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。 締め切りが7月19日に延長されましたので,改めてご案内いたします。 また,本ワークショップと関連して,MDPI Informationに特集号を企画しましたので,こちらも投稿のご検討をお願いいたします(詳細は最下部をご覧ください)。 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。 昨年まではIEEE BigDataで実施していましたが,今年はWeb Intelligence (WI)での企画となります。 論文はACMフォーマットで最大8ページを受け付け,採録された論文はACM Digital Libraryに掲載される見込みです。 論文の締切は2019年7月19日です。多数のご投稿をお待ちしています。 https://css-japan.com/abcss2019/ http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=90694 ====================================== The 4th International Workshop on Application of Big Data for Computational Social Science (ABCSS2019 @ WI2019) (WI2019 Workshop) https://css-japan.com/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 October 14-19, 2019, MET HOTEL (Thessaloniki, Greece) In conjunction with Web Intelligence 2019 (WI2019) https://webintelligence2019.com/ * 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 - July 19, 2019 Workshop Papers submission - August 15, 2019 Notification of Acceptance/Rejection - August 25, 2019 Final, Camera Ready Papers, Due - October 14-19, 2019 Main Conference and Workshops * SUBMISSION We accept papers of up to 8 pages. - Paper Submission Page http://bit.ly/abcss2019submission Submitted papers should be formatted to the ACM Proceedings Manuscript Formatting Guidelines (see link to below). https://www.acm.org/publications/proceedings-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. * Main Chairs 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 Karuna Pande Joshi, University of Maryland 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 have a special issue of Information (MDPI journal) in connection with this workshop. Selected papers which were presented at this workshop are invited to be submitted as extended versions to this Special Issue of the journal Information. 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. Note that anyone can submit to the special issue. Our special issue of Information (MDPI journal): https://www.mdpi.com/journal/information/special_issues/ABCSS_2019 -- Mitsuo Yoshida < yoshida [at] 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/