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IEEE DSAA'2020
CALL FOR INDUSTRY & STUDENT POSTERS
06-09 Oct. 2020
Sydney, Australia
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Important Dates
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* Industry and Student Poster Submission Due: 3 Jul. 2020
* Industry and Student Poster Notification: 26 Jul. 2020
* Industry and Student Poster Camera Ready Due: 9 Aug. 2020
Highlights of IEEE DSAA'2020
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* Strong Research track and Applications track.
* Student Poster and Industry Poster sessions with lightning results highlighting student’s
research advances and industry’s best practices.
* One-day Industry Day with Data Science School for business.
* Special sessions on the foundations and emerging areas for data science.
* Special panel on the trends and controversies of data science and analytics.
* A strong interdisciplinary research program spanning the areas of data science, including
statistics, machine learning, computing, and analytics.
* Strong cross-domain interactions among researchers and industry and government policy-makers
and practitioners.
* Industry and research exhibits.
* Financially sponsored by IEEE CIS, proceedings by IEEE Xplore and EI indexed.
* Technically supported by ACM SIGKDD and ASA.
* Fully online! Due to ongoing uncertainty due to COVID-19, DSAA-20 commits
to a fully online format with a coresponding reduced registration rate.
About IEEE DSAA'2020
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The IEEE International Conference on Data Science and Advanced Analytics (DSAA)
features its strong interdisciplinary synergy between statistics (via ASA), computing
and information/intelligence sciences (IEEE and ACM), and cross-domain interactions
between academia and business for data science and analytics. DSAA sets up a high
standard for its organizing committee, keynote speeches, submissions to main conference
and special sessions, and a competitive rate for paper acceptance. DSAA has been widely
recognized as a dedicated flagship in data science and analytics such as by the Google
Metrics and China Computer Foundation as an influential event in the area.
The 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA’2020)
will provide a premier forum that brings together researchers, industry and government
practitioners, as well as developers and users in statistics, computing science, and
intelligence science for the exchange of the latest theoretical developments in Data
Science and Analytics and the best practice for a wide range of applications. The conference
invites submission of papers describing innovative research on all aspects of data science
and advanced analytics as well as application-oriented papers that make significant, original,
and reproducible contributions to improving the practice of data science and analytics in
real-world scenarios.
DSAA’2020 is a dual-track conference consisting of a Research Track and an Research Track.
DSAA’2020 will also feature a peer-reviewed Student Poster session and an Industry Poster session,
whose purpose is to showcase recent and early-stage research developments on topics that
are of interest to students and industry/government practitioners in data science and analytics.
Industry Poster
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DSAA’2020 will feature a peer-reviewed Industry Poster session to showcase state-of-the-art
and early-stage research developments by industry, government and NGO policy-makers and
practitioners in data science and analytics on topics that are of interest to either the
research or the application of data science and analytics. The Industry Poster caters for
the industry preference of sharing the case studies, experience and lessons, and insights
and impacts without a full-length presentation as for the main conference.
All accepted poster papers will be presented in the Industry Poster sessions, specifications
for preparing the posters for presenting at the conference poster sessions will be given separately,
please check the DSAA'2020 for update.
Student Poster
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DSAA’2020 will feature a peer-reviewed Student Poster session to showcase state-of-the-art
and early-stage research developments by students in data science and analytics disciplines
on topics that are of interest to either the research or the application of data science
and analytics.
All accepted poster papers will be presented in the Student Poster sessions, specifications
for preparing the posters for presenting at the conference poster sessions will be given separately,
please check the DSAA'2020 for update.
Poster Submission Formatting, Length, and Double-blind Reviewing
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The length for both Industry Poster and Student Poster papers is a maximum of two (2) pages.
The format for both Poster papers is the standard 2-column U.S. letter style IEEE Conference
template. See the IEEE Proceedings Author Guidelines:
information and instructions.
All submissions will be blind reviewed by the Program Committee on the basis of technical quality,
relevance to the conference’s topics of interest, originality, significance, and clarity.
Author names and affiliations must not appear in the submissions, and bibliographic references
must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting
and authors anonymity will be rejected without reviews.
Because of the double-blind review process, non-anonymous papers that have been issued as technical
reports or similar cannot be considered for DSAA’2020. An exception to this rule applies to arXiv
papers that were published in arXiv at least a month prior to DSAA’2020 submission deadline.
Authors can submit these arXiv papers to DSAA provided that the submitted paper’s title and abstract
are different from the one appearing in arXiv. Papers that appear in arXiv from the DSAA’2020
submission deadline until the review process has ended, are not allowed.
Proceedings, Indexing and Special Issues
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All accepted poster papers will be published by IEEE in the DSAA main conference proceedings
under the Industry and Student Poster schemes. All accepted poster papers will be submitted
for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted
for EI indexing through INSPEC by IEEE.
Submission
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Submissions to the DSAA’2020 Industry/Student Poster track are available from
Important Policies
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Reproducibility & supplementary: The advancement of data science depends heavily on reproducibility.
We strongly recommend that the authors release their code and data to the public. Authors can provide
an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF
file and start on page 11). This supplement can only be used to include (i) information necessary for
reproducing the experimental results reported in the paper (e.g., various algorithmic and model
parameters and configurations, hyper-parameter search spaces, details related to dataset filtering
and train/test splits, software versions, detailed hardware configuration, etc.), and (ii) any data,
pseudo-code and proofs that due to space limitations, could not be included in the main manuscript.
Papers entering into the Best Application Paper awards must show solid evidence for reproducibility.
Authorship: The list of authors at the time of submission is final and cannot be changed.
Dual submissions: DSAA is an archival publication venue as such submissions that have been previously
published, accepted, or are currently under-review at peer-review publication venues (i.e., journals,
conferences, workshops with published proceedings, etc.) are not permitted. DSAA has a strict no dual
submission policy.
Conflicts of interest (COI): COIs must be declared at the time of submission. COIs include employment
at the same institution at the time of submission or in the past three years, collaborations during
the past three years, advisor/advisee relationships, plus family and close friends. Program chairs,
poster chairs, special session chairs and tutorial chairs are not allowed to submit proposals to their
managed tracks and sessions.
Registration and presentation: At least one author of each accepted paper must register
in full and present the paper online. No-show papers will be removed from the
IEEE Xplore proceedings.
Enquiries
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