[agents] [Mycolleagues] CALL FOR TUTORIALS of IEEE/ACM/ASA DSAA'2020

Satoshi Kurihara via Mycolleagues mycolleagues at mailman.ufsc.br
Wed Feb 12 07:23:07 EST 2020


======================================================================
IEEE/ACM/ASA DSAA'2020
CALL FOR TUTORIALS
06-09 Oct. 2020
Sydney, Australia
http://dsaa2020.dsaa.co
======================================================================


Important Dates
--------------------------------------------------------------------------------------
* Tutorial Proposal Due: 27 Apr. 2020
* Tutorial Notification: 11 May 2020


Highlights of DSAA'2020
--------------------------------------------------------------------------------------
* 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.
* Technically sponsored and supported by IEEE CIS, ACM SIGKDD and ASA,
proceedings by IEEE
  Xplore and EI indexed.


About DSAA'2020
--------------------------------------------------------------------------------------
The 7th IEEE/ACM/ASA 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.


About Tutorials
--------------------------------------------------------------------------------------
We solicit proposals for tutorials at the 2020 IEEE International
Conference on Data Science
and Advanced Analytics (DSAA’2020) on systematic lectures related to
the theoretical foundations,
algorithms and models, and better/hands-on practice of data science
and analytics.

A tutorial proposal should be no more than five pages in length (+1
cover sheet), single
column, and fonts should be 11pt. The recommended duration of a
tutorial is half-day (about 2-3 hours).

The tutorial proposal should addrress the following aspects:

* A cover sheet with the presenters’ names, affiliations, addresses,
emails, and phones
  (not counted in the 5 pages).
* The proposed lecture/tutorial title.
* An abstract about the summary of the tutorial.
* Specific objectives and main field category (statistics/computer
science/other).
* A table of contents with enough details to provide a sense of both
the scope of material to
  be covered and the depth to which it will be covered.
* A short description of the intended audience and any prerequisite
knowledge for attendees.
* Each presenter’s name, affiliation, country, email and a short
biographical sketch, describing
  relevant qualifications and lecturing experience; and identify at
least one organizer as the contact person.
* If (part of) the tutorial material or an earlier version of it has
been presented elsewhere,
  the proposal should indicate those respective events (and dates),
and describe how the current
  proposal differs from the previous editions (if at all).
* Audio-visual equipment needs for the presentation.

We will consider all proposals for both introductory, advanced topics
and hands-on practice.

Each accepted tutorial will receive one free registration to DSAA’2020.

Presenters will be required to provide comprehensive lecture/tutorial
slides and references
and a webpage if possible at least one week before the event, which
will then be published
on the DSAA’2020 website and thus be made available to the conference
attendees free of charge.
Accepted tutorials will be presented during the main DSAA conference
as parallel sessions.


Submission
--------------------------------------------------------------------------------------
Tutorial proposals and enquiries should be submitted to the DSAA’2020
Tutorial chairs at tc_dsaa2020 at dsaa.co.

---

-------------------------------------------------------
We love you. We are sorry. Please forgive us. Thank you.
_______________________________________________
Mycolleagues mailing list
Mycolleagues at mailman.ufsc.br
https://mailman.ufsc.br/mailman/listinfo/mycolleagues

- Through this links above you can "subscribe", "unsubscribe", or change your settings in the list.
OR
- Easy unsubscribe: https://mailman.ufsc.br/mailman/options/mycolleagues



More information about the agents mailing list