SIAM SDM 2022: Call for Tutorials
SIAM SDM Publicity Chairs
April 28 -- April 30, 2022
Alexandria Old Town, Virginia
https://www.siam.org/conferences/cm/conference/sdm22
------------------------- CALL FOR TUTORIALS -------------------------
Tutorial Proposals: October
15, 2021, 11:59pm (US Pacific time)
Tutorial Notification: November 2021
DESCRIPTION
------------------------------------------------------------
The 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). 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 SIAM conferences:
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 attendee in a tutorial.
PROPOSAL FORMAT
------------------------------------------------------------
Proposals should include the following:
- 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.
- Target Audience: Proposals must clearly identify the intended audience for the tutorial (e.g., novice, intermediate, expert).
- What background will be required of the audience?
- Why is this topic important/interesting to the SIAM data mining community?
- What is the benefit to participants?
- Provide some informal evidence that people would attend (e.g., related workshops).
- Tutors: Name, affiliation, email address per tutor
- Tutors’ Bios: Provide brief biographical information on each tutor, including qualifications with respect to the tutorial's topic.
- List of in-person presenters (i.e., the tutors who will attend)
- List of contributors (i.e., the tutors who will only help prepare the tutorial material)
- 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.
- 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).
- Optional: Video snippet of you teaching a tutorial or giving a talk.
SUBMISSION GUIDELINES
------------------------------------------------------------
Tutorial proposals must be submitted to Arthur Zimek <zi...@imada.sdu.dk>. Proposals must be submitted in PDF format.
Submissions must be received by October 15, 2021, 11:59 p.m. (U.S. Pacific Time)
QuestionS must be sent directly to: Tutorials Chair Arthur Zimek <zi...@imada.sdu.dk>