[Event at CIG] Call for Tutorial: SIAM International Conference on Data Mining 2023, Minneapolis, MN

[Arianna Dagliati]

Dear Colleagues,
Below is a reminder for the Call for Tutorials at SDM 2023.


SDM'23: THE 23rd SIAM INTERNATIONAL CONFERENCE ON DATA MINING

April 27 -- April 29, 2023

Graduate Minneapolis

Minneapolis, Minnesota

https://www.siam.org/conferences/cm/conference/sdm23

Call For Tutorials

Submission Deadline: October 14, 2022, 11:59 PM (PDT)

Decision Notification: Mid-November 2022

The SDM23 Organizing Committee invites proposals for tutorials to be held
in conjunction with the conference. Tutorials are an effective way to
educate and/or provide the necessary background to the intended audience,
enabling them to understand technical advances. They will typically cover
state-of-the-art research, development and tools in a specific data mining
related area, and stimulate and facilitate future work.

We are seeking proposals for tutorials on all topics related to data
mining. A tutorial may be a theme-oriented comprehensive survey, discuss
novel data mining techniques or focus on a successful and timely
application of data mining in important areas (e.g., public health,
medicine, security, urban computing, the web, scientific data analysis,
finance). Tutorials on interdisciplinary research topics, novel and
fast-growing directions, and innovative applications are highly encouraged.
We also encourage tutorials in areas that are different from the usual SDM
mainstream, but still related to the objectives of discovering valuable
knowledge from data. As examples of typical SIAM tutorials, see the set of
accepted tutorials at previous SDM conferences:

   -

   SDM16 <https://archive.siam.org/meetings/sdm16/tutorials.php>
   -

   SDM17 <https://archive.siam.org/meetings/sdm17/tutorials.php>
   -

   SDM18 <https://archive.siam.org/meetings/sdm18/tutorials.php>
   -

   SDM19
   <https://www.siam.org/Conferences/CM/Program/Minitutorials/sdm19-minitutorials>
   -

   SDM20
   <https://www.siam.org/conferences/cm/program/minitutorials/sdm20-minitutorials>
   (cancelled due to COVID-19)
   -

   SDM21
   <https://www.siam.org/conferences/cm/program/minitutorials/sdm21-minitutorials>
   -

   SDM22
   <https://www.siam.org/conferences/cm/program/minitutorials/sdm22-minitutorials>

Tutorials are open to all conference attendees without any extra fees. The
typical tutorial will be 2 hours long (longer tutorials will be
considered). Previous SDM conferences attracted up to 100 attendees in a
tutorial.

Proposal Format

Proposals should include the following:

   1.

   Basic information: Title, brief description (up to 300 words), length of
   the proposed tutorial. If the intended tutorial is expected to take longer
   than 2 hours a rationale is expected.
   2.

   Target Audience: Proposals must clearly identify the intended audience
   for the tutorial (e.g., novice, intermediate, expert).


   1.

   What background will be required of the audience?
   2.

   Why is this topic important/interesting to the SIAM data mining
   community?
   3.

   What is the benefit to participants?
   4.

   Provide some informal evidence that people would attend (e.g., related
   workshops).


   1.

   Tutors: Name, affiliation, email address per tutor
   2.

   Tutors’ Bios: Provide brief biographical information on each tutor,
   including qualifications with respect to the tutorial's topic.


   1.

   List of in-person presenters (i.e., the tutors who will attend)
   2.

   List of contributors (i.e., the tutors who will only help prepare the
   tutorial material)


   1.

   Outline and References: Enough material should be included to provide a
   sense of both the scope of material to be covered and the depth to which
   they will be covered. The more details that can be provided, the better (up
   to and including links to the actual slides). Note that the tutors should
   not focus mainly on their own research results. If, for certain parts of
   the tutorial, the material comes directly from the tutors' own research or
   product, please indicate this clearly in the proposal.
   2.

   Similar Tutorials: Identify any other venues in which the tutorial, or a
   similar/highly related tutorial by the same authors, has been or will be
   presented, and highlight the similarity/difference between those and the
   one proposed (up to 100 words for each entry).
   3.

   Optional: Video snippet of you teaching a tutorial or giving a talk.

Submission Instructions

Tutorial proposals should be submitted in PDF format to the Tutorials
Co-Chairs as described below. Please use the Subject Line: SDM23 Tutorial
Proposal Submission.

Submission Deadline

Submissions must be received by October 14, 2022, 11:59 PM (PDT)

Submissions and questions must be sent directly via email to:

Tutorials Co-Chairs

Han-Jia Ye, Nanjing University (yehj at nju.edu.cn)

Sheng Li, University of Virginia (shengli at virginia.edu)

FOLLOW SDM

https://twitter.com/SIAMDataMining

Twitter hashtag: #SIAMSDM23


--
Arianna Dagliati, PhD

Laboratory for Biomedical Informatics "Mario Stefanelli"
Department of Electrical, Computer and Biomedical Engineering
University of Pavia, Italy

e-mail: arianna.dagliati at unipv.it
http://www.labmedinfo.org/it/people/arianna-dagliati-phd/