The 3rd IEEE Workshop on
Human-in-the-loop Methods and
Human Machine Collaboration in BigData
(IEEE HMData 2019)

co-located with IEEE Bigdata 2019
Los Angeles, Dec. 9th (Planned)


Photo courtesy of wikimedia commons
About Keynotes Dates and Submission Student Travel Support Organization HMData 2018 IEEE Bigdata 2019

About IEEE HMData 2019

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.

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.

Keynotes

TBA

Important Dates

  • Oct 7 (Mon), 2019: Due date for workshop papers submission
  • 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 the submission page (to appear 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

Student Travel Support

The IEEE BigData 2019 will offer student travel awards to student authors of not only main confernece papers but also workshop papers. Details will be given at IEEE Bigdata 2019 site later.

Organization

Chairs

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

Program Committee

TBA

Contact

hmdata.chairs@gmail.com