| Betreff: | [AISWorld] CFP: Symposium on Data Science for Healthcare |
|---|---|
| Datum: | Tue, 18 Jul 2017 15:43:21 +0000 |
| Von: | Chen, Yi <yi.chen@njit.edu> |
| An: | aisworld@lists.aisnet.org |
| Kopie (CC): | Yi Chen <yi.chen@njit.edu> |
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CALL FOR PAPERS
DaSH 2017: Symposium on Data Science for Healthcare
October 19-20, 2017, Leir Retreat Center, CT, USA
https://web.njit.edu/~ychen/DaSH
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OVERVIEW
The Symposium on Data Science for Healthcare (DaSH) is a premium forum that
gathers leading researchers, practitioners, policy makers and thought
leaders in
related fields to discuss the latest innovative and visionary ideas, grand
challenges,
and future directions in leveraging big data for healthcare revolution.
DaSH also
provides valuable opportunities for scholars to disseminate their work, and
fosters
collaboration in a multi-disciplinary setting across different sectors for
cross-fertilization.
After two successful events, the third DaSH symposium will be held on
October 19 noon
- October 20 1:30PM at the Leir Retreat Center, Ridgefield, CT, USA. The
DaSH
symposium is sponsored by the Leir Charitable Foundations, and is supported
by New Jersey Institute of Technology.
We invite extended abstracts on novel data science approaches to address
healthcare
issues in a broad spectrum, aiming for improving healthcare quality,
reducing cost
and improving accessibility. We encourage both contributions about
system-building
experiences, experimental studies, new applications, as well as visionary
statements.
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TOPICS
Papers are solicited on a wide range of topics, including, but not limited
to:
* Health economics
* Information systems for healthcare
* Health data sharing, exchange and integration
* Health data quality
* Healthcare analytics and predictive modeling
* Natural language processing and text mining for healthcare
* Health service delivery and workflows
* Social media, mobile and Internet of Things for healthcare
* Health information visualization and system usability
* Privacy and security of health data
We especially welcome papers that address data quality issues in healthcare
this year.
All submissions will be reviewed by the program committee for novelty,
soundness and significance.
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IMPORTANT DATES
(All deadlines are 11:59pm Eastern Time)
July 31, 2017 Submission of papers
August 21, 2017 Notification of acceptance
August 31, 2017 Camera-ready papers and author registration
October 19-20 DaSH symposium
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SUBMISSIONS
Papers should be electronically submitted in pdf format to
https://easychair.org/conferences/?conf=dash2017.
Submissions are to be formatted according to the DaSH's camera-ready
format, as
embodied in the provided templates: either latex style file or word sample
template
file. These template files were adapted from the ACM templates. The
submission must
not exceed FOUR pages.
Authors who are willing to present a demonstration of their developed
system, can mark their paper title as "Demo Proposal:" followed by the
paper title in the
first page of the paper.
Besides research papers, a one-page description of poster/exhibition to be
presented in the conference is also welcome.
Final versions of accepted submissions will be published in the electronic
proceedings of the DaSH symposium. DaSH uses the Creative Commons license
policy
that allows authors to retain copyright while allowing DaSH to distribute
their
work broadly through modern media.
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PARTICIPATION
As a forum for leading researchers and practitioners to discuss the
challenges and
directions of Data Science for Healthcare, a senior author (e.g. a faculty
member, a
researcher or an experienced practitioner) of an accepted paper will be
expected to
attend the conference and present the paper. For accepted papers with
several co-authors, the program committee reserves the right to select the
co-author who should present the paper at the conference as a condition of
acceptance. Participants are expected to attend the symposium at its
entirety.
DaSH is an invitation-only conference, where participation is limited to
authors of
accepted papers based on the above requirements and attendees by
invitation.
Participants are expected to attend and actively engage during the entire
event.
Thanks to the generous support of Leir Charitable Foundations and The Leir
Retreat
Center, the symposium registration, meals in the symposium, and one night
hotel stay
on October 19th will be covered and arranged by The Center
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ORGANIZATION
PROGRAM CHAIR:
Yi Chen Martin Tuchman School of Management, NJIT
Email: dash.symposium@gmail.com
ADVISORY BOARD:
Susan Davidson Computer & Info. Science, UPenn
Kathy Grise Big Data Initiatives, Future Directions, IEEE
Bradford Hesse National Cancer Institute, National Institute of Health
Cheickna Sylla Martin Tuchman School of Management, NJIT
PROGRAM COMMITTEE
David G. Belanger Howe School of Tech. Management, Stevens Institute of
Tech.
Soon Ae Chun School of Business, The City University of New York
Gordon Gao Robert H. Smith School of Business, University of Maryland
James Geller Ying Wu College of Computing Sciences, NJIT
Ketan Mane Health Informatics, Kaiser Permanente
Rao Praveen Dept of CSEE, University of Missouri-Kansas City
Fei Wang Weill Cornell Medical School, Cornell University
Christopher Yang College of Computing & Informatics, Drexel University
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--
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Yi Chen
Director, PhD program in Business Data Science, NJIT
http://web.njit.edu/~ychen/
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