日本データベース学会の皆様 森嶋です ．昨年度より，DE研前委員長の小口先生と，多くの先生方の 協力を得て，日本のDBコミュニティの皆様がメジャーカンファレンスに 参加しやすい環境を作ろうという事で相談しており，今回は豊田先生が Bigdata2017のWS Chairであることから，下記WSを企画いたしました． Bigdataの既存のWSがあまりカバーていないものとして，Human-factor系に しました．DEIMで発表されているようなトピックのHuman-factor系の DB論文は幅広く対象になるように設計しておりますので，是非多くの皆様に ご投稿をいただ ければ幸いです．それ以外の分野の論文も，Bigdataは 様々なWSがありますので，投稿しやすいWSがあると思います． Submission Categoryを見ていただけるとわかりますが，3ページから 10ページまで，どんな論文でも出せるように設計しております． 〆切10月ですので時間的には余裕です．どうぞよろしくお願い申し上げます． 森嶋厚行 ========================================================= CALL FOR PAPERS ========================================================= The First IEEE Workshop on Human-Machine Collaboration in BigData (HMData2017) co-located with IEEE Bigdata 2017 Date: Dec. 11 (planned) Location: The Westin Copley Place, Boston, MA,USA. http://humanmachinedata.org ========================================================== Important Dates (Tentative): Oct 13 (Fri), 2017: Due date for workshop papers submission Nov 6 (Mon), 2017: Notification of paper acceptance to authors Nov 15 (Wed), 2017: Camera-ready of accepted papers Dec 11-14 2017: Workshops ========================================================== Overview Human power is a key factor to maximize the impact of bigdata technologies. This workshop addresses human-in-the-loop approaches in bigdata lifecycle - in collecting, processing, analyzing, utilizing, archiving and disposing them. The purpose of this workshop is to give excellent opportunities for students, researchers and practitioners to identify important research problems and exchange their ideas on human-in-the-loop in the bigdata context. To make the workshop an attractive place for those people, we plan to solicit practitioner papers as well as research papers, in order to facilitate discussion among researchers who know solutions and practitioners who know problems. We also would like to make the place valuable for young researchers. We plan to provide student travel support (tba). All papers accepted for workshops will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference. Topics This workshop covers a wide range of human-related topics in the bigdata context, such as crowdsourcing, collaborative recommendation, crowdsensing, workflow model for humans and machines, incentives, human-assisted bigdata analysis, bigdata-human interaction, and human-machine collaboration in real-world problems. ========================================================= Keynote Speaker Panos Ipeirotis (NYU Stern School of Business) Bio: Panos Ipeirotis is a Professor and George A. Kellner Faculty Fellow at the Department of Information, Operations, and Management Sciences at Leonard N. Stern School of Business of New York University. He received his Ph.D. degree in Computer Science from Columbia University in 2004. He has received nine ÒBest PaperÓ awards and nominations, a CAREER award from the National Science Foundation, and is the recipient of the 2015 Lagrange Prize in Complex Systems, for his contributions in the field of social media, user-generated content, and crowdsourcing. ========================================================= Submission All submissions must be submitted electronically through CyberChair. All papers accepted for workshops will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference. Submission Categories Research Papers (*) (long presentation): They report significant and original results relevant to the scope of this workshop. We solicit innovative or thought-provoking work but they do not necessarily have to reach the level of completion. The expected length is between 4 and 6 pages. The maximum length is 10 pages, though the paper should be commensurate with the size of the contribution. Practitioner papers (*)(long presentation): They present interesting problems that require human-in-the-loop solutions in a variety of application domains, or present the interesting results of applying existing human-in-the-loop solutions to their domains. The expected length is between 4 and 6 pages. The maximum length is 10 pages, though the paper should be commensurate with the size of the contribution. Project-in-progress papers (short presentation): They present the goals, challenges, and preliminary results of research or real-world projects in progress. The maximum length is 3 pages. (*) Some of the papers submitted to the research or practitioner paper categories may be accepted as project-in-progress papers and allotted to short presentation slots. ========================================================= Organization Chairs Atsuyuki Morihsima (Univesity of Tsukuba) Senjuti Basu Roy (NJIT) Lei Chen (HKUST) Program Committee Sihem Amer-Yahia (CNRS/LIG) Wolf-Tilo Balke (Technische Universitat Braunschweig) Adam Bradley (Amazon) Marina Danilevsky (IBM Research Almaden ) Takahiro Hara (Osaka University) Yoshiharu Ishikawa (Nagoya University) Munenari Inoguchi (Shizuoka University) Hyunjoon Jung (Apple) Vana Kalogeraki (Athens University of Economics and Business) Hisashi Kashima (Kyoto University) Itaru Kitahara (University of Tsukuba) Dongwon Lee (Penn State University) Guoliang Li (Tsinghua University) Shinsuke Nakajima (Kyoto Sangyo University) John O\'Donovan (University of California, Santa Barbara) Masato Oguchi (Ochanomizu University) Satoshi Oyama (Hokkaido University) Nobuyoshi Shimizu (Yahoo!Japan Research) Keishi Tajima (Kyoto University) Saravanan T (QCRI) Masashi Toyoda (The University of Tokyo) Lirong Xia (Rensselaer Polytechnic Institute) Vladimir Zadorozhny (University of Pittsburgh) Demetris Zeinalipour (Max Planck Institute for Informatics and University of Cyprus) ========================================================== _______________________________________________ Please do not post msgs that are not relevant to the database community at large. Go to www.cs.wisc.edu/dbworld for guidelines and posting forms. To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld -- Atsuyuki Morishima <morishima-office@ml.cc.tsukuba.ac.jp> Research Center for Knowledge Communities, University of Tsukuba The FusionCOMP Project (CyLog, Crowd4U) Programming Languages and Development Platforms for Human Computation and Crowdsourcing Applications http://www.kc.tsukuba.ac.jp/~fusioncomp/ http://crowd4u.org