Doctoral Consortium submissions due – September 18, 2013 [DEADLINE EXTENDED]
The WSDM 2014 Doctoral Consortium will provide doctoral students with a
unique opportunity to have substantive interaction with other researchers
regarding their proposed dissertation research.
The objectives of the Doctoral Consortium are:
- To provide a forum where doctoral students can present and discuss their research with experienced Web, Search and Data Mining researchers who are members of the Doctoral Consortium Committee.
- To provide students with an opportunity to establish a supportive community, including other doctoral students at a similar stage of their dissertation research.
The Consortium will take place on Mon Feb 24, the same day as the Tutorials.
The format will include student presentations with plenary discussions,
individual meetings with experienced researchers, and discussions over lunch
Candidates for the Doctoral Consortium will be selected based on the
potential of their research for future impact on the field of Web Search and
Data Mining and the likely benefit to the student of participating in the
Consortium. Prospective attendees should have written, or be close to
completing, a thesis proposal (or equivalent). It is desirable that the
student is not so close to completion that the event would have little
impact on their work.
This selection will be based in part on a written paper, singly authored by
the student. For students who are selected to participate in the Consortium,
an updated version of the submitted paper will be published in the WSDM
Doctoral students who submit to the Consortium are permitted to have
previously published on their research, and are encouraged to submit papers
or posters to WSDM and associated workshops.
The submitted paper (up to five pages) will be the basis for detailed discussions at the Consortium. It should include:
- Motivation for the proposed research.
- Background and related work (including key references).
- Description of the proposed research, including main research questions.
- Research methodology and proposed experiments (where appropriate).
- Description of results which have already been obtained for the proposed research.
- Specific research issues for discussion at the Doctoral Consortium.
In addition, a one page appendix to the paper describing benefits that would be obtained by attending the Consortium. It should include:
- A statement by the student saying why they want to attend the Consortium.
- A statement by their advisor saying how the student would benefit by attending the Consortium. Advisors should also specifically state whether the student has written, or is close to completing, a thesis proposal (or equivalent), and when they expect the student would defend their dissertation if they progress at a typical rate.
Submissions must be written in English and submitted in the ACM Conference
style (for LaTeX, use the “Option 2″ style). The paper should be no more
than 5 pages in length including all figures and references, but not
including the one page appendix. The first page must contain the title of
the paper, full author name, affiliation and contact details, an abstract of
up to 250 words, ACM Computing Reviews categories, and up to 3 keywords
describing the topic areas. Information about categories and keywords can
be found in the ACM Web pages on the computing classification system and in
the LaTeX and Word templates.
Note: An updated version of the Doctoral Consortium submission (excluding
the appendix), will be published in the WSDM Conference Proceedings.
Consortium submissions must be in PDF format and submitted via
Submissions will be reviewed by the members of the Doctoral Consortium
September 18, 2013 - Doctoral Consortium submissions due September 9, 2013 - Doctoral Consortium submissions due November 25, 2013 - Notification of decisions January 5, 2014 - Camera-ready version is due Feb 24, 2014 - Doctoral Consortium at WSDM 2014 (New York City)
- Susan Dumais, Microsoft Research (USA)
- Oren Kurland, Technion (Israel)
- Eytan Adar , University of Michigan
- Ricardo Baeza-Yates , Yahoo! Labs
- Brian Davison , Lehigh University
- Maarten de Rijke, University of Amsterdam
- Evgeniy Gabrilovich, Google
- Vanja Josifovski, Google
- Yehuda Koren, Google
- Alice Oh, KAIST
- Jaime Teevan, Microsoft Research
- ChengXiang Zhai, University of Illinois