学会員メーリングリストアーカイブ (2019年)

[dbjapan] 〆切延長10/12: IEEE WS on Human-in-the-loop Methods and Human-Machine Collaboration in Bigdata


日本データベース学会の皆様

筑波大の森嶋です.IEEE HMDataの締め切りが延長されましたので
CFPをお送りします.
データxヒューマンファクターに関連する論文は幅広くカバーして
おります.Keynoteも大物です.DBLP 掲載されます.

Project-in-progressは3ページなのでまだ間に合います.
Practitioner Paperも歓迎いたします.

是非とも投稿をご検討いただければ幸いです.
よろしく御願い申し上げます.  

森嶋厚行


======================================
The Third IEEE Workshop on
Human-in-the-loop Methods and Human-Machine Collaboration
in Big Data (IEEE HMData 2019) co-located with IEEE Bigdata 2019
Los Angeles, Dec. 9th (Planned)
https://humanmachinedata.org
======================================
!!! Deadline Extended !!!
Oct 12, 2019: Due date for workshop papers submission (all categories)
     (Authors have to submit the title and abstract by Oct. 7)
======================================
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 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. All papers accepted for the workshop will be
included in the Workshop Proceedings published by the IEEE
Computer Society Press, made available at the Conference.
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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,
supporting tools for humans in human-in-the-loop systems, security
and privacy in human-machine collaboration , human factors and
ELSI (ethical, legal and social issues) in human-in-the-loop systems,
and human-machine collaboration in real-world problems.
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Keynote

Michael Bernstein (Stanford University)

Bio: Michael Bernstein is an Assistant Professor of Computer Science
at Stanford University, where he is a member of the Human-Computer
Interaction group. His research focuses on the design of social
computing and crowdsourcing systems. Michael's research has
received awards at premier computing venues, and he has been
recognized with an NSF CAREER award and an Alfred P. Sloan
Fellowship. His Ph.D. students have gone on both to industry (e.g.,
Adobe Research, Facebook Data Science, entrepreneurship) and
faculty careers (e.g., Carnegie Mellon, UC Berkeley). Michael holds a
bachelor's degree in Symbolic Systems from Stanford University, as well
as a master's degree and a Ph.D. in Computer Science from MIT.
-------------------------------------------------------------------------
Important Dates
Oct 12(Sat), 2019: Due date for workshop papers submission (all categories)
     (Authors have to submit the title and abstract by Oct. 7)
Nov 1 (Fri), 2019: Notification of paper acceptance to authors
Nov 15 (Fri), 2019: Camera-ready of accepted papers
Dec 9-12, 2019: Workshops
------------------------------------------------------------------------
Submission
All submissions must be submitted electorically through CyberChair
(to be open soon). Please prefix your submission category such as
[Research Paper] to the Title of Paper field in the submission page.
For example, if you would like to submit a project-in-progress paper
"Crowd-centric Approach to Digital Archive Maintenance," you have
to put "[project-in-progress paper] Crowd-centric Approach to Digital
Archive Maintenance" into the Title of Paper field.

All papers accepted for the workshop 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.

Format:
Papers should be formatted to IEEE Computer Society Proceedings
Manuscript Formatting Guidelines in the IEEE Bigdata 2019 CFP page
-------------------------------------------------------------------------
Organization

Chairs
Senjuti Basu Roy (NJIT)
Alex Quinn (Purdue University)
Atsuyuki Morihsima (Univesity of Tsukuba)

Program Committee
Mohammad Allahbakhsh (University of New South Wale)
Yukino Baba (University of Tsukuba)
Wolf-Tilo Balke (Technische Universitaet Braunschweig)
Adam Bradley (Amazon)
Daniel Barowy (Williams College)
Cinzia Cappiello (Politecnico di Milano)
Marina Danilevsky (IBM Research - Almaden)
Ujwal Gadiraju (L3S Research Center)
Panos Ipeirotis (New York University)
Vana Kalogeraki (Athens University of Economics and Business)
Itaru Kitahara (University of Tsukuba)
Dongwon Lee (Penn State)
Satoshi Oyama (Hokkaido University/RIKEN AIP)
Nobuyuki Shimizu (Yahoo!Japan Research)
Elena Simperl (University of Southampton)
Yu Suzuki (Gifu University)
Keishi Tajima (Kyoto University)
Saravanan Thirumuruganathan (QCRI)
Ming Yin (Purdue University)
Demetris Zeinalipour (University of Cyprus)
Jing Zhang (Nanjing U. of Science  • Technology)
Yudian Zheng (Twitter)
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--
(CAUTION: I usually miss emails sent to mori [at] slis.tsukuba.ac.jp.)
(注意:mori [at] slis.tsukuba.ac.jp宛のメールは読み落としが多いです)
Faculty of Library, Information and Media Science
Center for Artificial Intelligence Research, University of Tsukuba
JST CREST CyborgCrowd Project
ISeee Project