Student Paper Competition on Statistical Learning and Data Mining
Due December 15, 2011 by 12 noon EST
The Section on Statistical Learning and Data Mining (SLDM) of the American Statistical Association
and Statistical Analysis and Data Mining (SAM) - which is a flagship journal of the SLDM - are jointly
sponsoring a student paper competition for the 2012 Joint Statistical Meetings (JSM). The paper might
be an original methodological research or analysis of data (from various fields including but not limited to
pharmaceutical, genomics, bioinformatics, imaging, defense, business, public health) that uses
principles and methods in statistical learning and data mining.
All manuscripts must be submitted through SAM, where they will undergo a thorough review process.
Papers that have been accepted for publication elsewhere or are currently being reviewed at another
journal are not eligible for the competition. Selected winners will present their papers in an organized
session at the JSM in San Diego, California from July 28-Aug 2 2012. At the session, they will be presented
a monetary prize and an award certificate.
In addition to these winners, several other submitted papers may be accepted for publication in SAM and
included in a special issue dedicated to the best papers in the competition. The whole review process is
expedited so that these papers will be published in the same year as the competition. Furthermore, this
special issue will be highly publicized in ASA publications, including summaries of each paper.
Graduate or undergraduate students who are enrolled in Autumn 2011 or Spring 2012 are eligible
to participate. The applicant must be the first author of the paper. All application materials must be
submitted electronically (in pdf) and must be uploaded on the SAM submission website—
wileyonlinelibrary.com/journal/sam by noon EST Thursday December 15, 2011. Please check “Author Guidelines”
at this site when preparing the entry.
All entries must include the following:
1. List of authors and contact information
2. Abstract with no more than 200 words
3. Manuscript - double-spaced with no more than 25 pages including figures, tables,
references and appendix
4. Blinded versions of the abstract and manuscript (with no authors nor references that
could easily lead to author identification)
5. C.V.
6. A reference letter from a faculty member familiar with the student’s work which
must include a verification of the applicant’s student status and, in the case of joint
authorship, should indicate the fraction of the applicant’s contribution to the manuscript.
For inquiries, please contact Hernando Ombao (Brown University and UC Irvine).
Email: [log in to unmask]
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