The First IEEE Workshop on
|About||Keynotes||Dates||Submission||Student Travel Support||Organization|
About HMData 2017
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. 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.
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.
Panos Ipeirotis (NYU Stern School of Business)
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 Best Paper 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.
SubmissionAll submissions must be submitted electorically through CyberChair. 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.
FormatPapers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines in the IEEE Bigdata 2017 CFP page
Student Travel SupportWe plan to provide student travel support to a selected student (MAX 115,000JPY which is about 1000USD, and paid after the conference). You could apply for student travel support by Oct. 27 if you are a student, and you are both the primary author and presenter of an HMData paper in case it is accepted. The Student Travel support provides support for students to present their work.
The eligibility criteria are:
ChairsAtsuyuki Morihsima (Univesity of Tsukuba)
Senjuti Basu Roy (NJIT)
Lei Chen (HKUST)
Program CommitteeSihem Amer-Yahia (CNRS/LIG)
Wolf-Tilo Balke (Technische Universitat Braunschweig)
Adam Bradley (Amazon)
Jay Byungkyu Kang (Nokia Technologies)
Reynold Cheng (University of Hong Kong)
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)
Nobuyuki 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)