締め切り10/13: The First IEEE Workshop on Human-Machine Collaboration in BigData (HMData2017)

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Atsuyuki Morishima

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Sep 30, 2017, 10:42:24 AM9/30/17
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クラウドソーシング研究会の皆様

筑波大学の森嶋と申します.The First IEEE Workshop on Human-Machine
Collaboration in BigData (HMData2017) の締め切りがあと2週間と近づいて
参りましたので,2nd CFPをお送りさせていただきます.是非多くの皆様に
ご投稿をいただければ幸いです.

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感じです.

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)
Jay Byungkyu Kang (Nokia Technologies)
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)
==========================================================
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--
Atsuyuki Morishima <morishim...@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
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