ASA Section on Statistical Learning and Data Mining Student Paper Competition

The Section on Statistical Learning and Data Mining (SLDM) of the American Statistical Association is sponsoring a student paper competition for the 2014 Joint Statistical Meetings.

The paper might be an original methodological research or analysis of data (from various fields including but not limited to marketing, pharmaceutical, genomics, bioinformatics, imaging, defense, business, public health) that uses principles and methods in statistical learning and data mining.

Papers that have been accepted for publication are not eligible for the competition. Selected winners will present their papers in an organized session at the 2014 JSM in Boston, MA. At the session, they will be presented a monetary prize and an award certificate. Winning papers will be recommended for submission to Statistical Analysis and Data Mining: The ASA Data Science Journal, which is the flagship journal of the SLDM Section.

Graduate or undergraduate students who are enrolled in Fall 2013 or Winter/Spring 2014 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 sent to Professor Hernando Ombao at by noon EST, January 6, 2014.

All entries must include the following:

  • A List of authors and contact information
  • An abstract with no more than 200 words
  • A manuscript – double-spaced with no more than 25 pages including figures, tables, references and appendix
  • A blinded versions of the abstract and manuscript (with no authors nor references that could easily lead to author identification)
  • 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.

All materials must be in English.

Entries will be reviewed by the Student Paper Competition Award committee. The selection criteria used by the committee will include statistical novelty, innovation and significance of the contribution to the field of application as well as the professional quality of the manuscript.

Award announcements will be made in mid-January 2014.

For inquiries, please contact Hernando Ombao