Announcements

Student Paper Competition - JSM 2023

Sponsored by: ASA Section on Statistical Learning and Data Science (SLDS)

Key date: December 15th, 2022 (11:59 pm EST)

The Section on Statistical Learning and Data Science (SLDS) of the American Statistical Association (ASA) is sponsoring a student paper competition for the 2023 Joint Statistical Meetings to be held in Toronto, Ontario, Canada, on August 5th - 10th, 2023. The paper should be original theoretical, methodological, or applied research that uses principles of statistical learning and data science. Papers that have been accepted for publication are NOT eligible for the competition. Student winners will present their papers in a designated topic-contributed session at the 2023 JSM organized by the award committee. In this session, they will be presented with a monetary prize ($1000) and an award certificate. Additionally, several honorable mentions may be awarded.

Eligibility:

  • The student (graduate or undergraduate) must be enrolled in a degree-granting institution on December 1, 2022.

  • The student must be the first author of the paper (joint first authorships are not allowed).  

  • The paper must NOT be accepted for publication at the time of submission.

  • The student must be a member of the ASA SLDS section.

  • The student must be willing to attend and present the paper at the 2023 JSM.

  • Students may submit the same paper to be considered for student paper competitions to at most two ASA sections. If and when students win and accept an award from one section, they must inform the other sections involved, thereby removing them from the competition for the other section.

  • Each student may only submit one paper to this competition.

Applications: 

Please use this form (https://forms.gle/GddBdzsT37kBdzJQ8) to submit the paper by December 15th, 2022, at 11:59 PM EST. This form will ask you to upload a blinded manuscript that removes any author-identifying information. The submitted manuscript can follow any style and formatting, but the length of the paper is limited to at most 30 pages double-spaced (excluding references and appendices). The form will also ask for a letter from the applicant’s faculty advisor. The letter should include a verification of the applicant’s student status and, in the case of joint authorship, should indicate what fraction of the contribution is attributable to the applicant. All materials must be in English. Please submit the manuscript and the letter as PDF files.

Selection Criterion:

Submissions will be reviewed by the SLDS Student Paper Competition Award committee. The selection criteria used will include statistical novelty, innovation and significance, relevance to statistical learning and data science, and the professional quality of the manuscript.

For questions, please contact the SLDS 2023 Student Paper Competition Co-chairs, Xingye Qiao (qiao@math.binghamton.edu) and Kean Ming Tan (keanming@umich.edu).

Archived Events and Announcements

Call for Papers

Student Paper Competition - JSM 2022
Sponsored by: ASA Section on Statistical Learning and Data Science (SLDS)
Key dates: December 15th, 2021 (11:59pm EST)

The Section on Statistical Learning and Data Science (SLDS) of the American Statistical Association (ASA) is sponsoring a student paper competition for the 2022 Joint Statistical Meetings to be held in Washington DC on August 6th - 11th, 2022. The paper should be original theoretical, methodological, or applied research that uses principles of statistical learning and data science. Papers that have been accepted for publication are NOT eligible for the competition. Student winners will present their papers in a designated topic-contributed session at the 2022 JSM organized by the award committee. In this session, they will be presented with a monetary prize ($1000) and an award certificate. Additionally, several honorable mentions may be awarded.

Eligibility:

  • The student (graduate or undergraduate) must be enrolled in a degree-granting institution on December 1, 2021.
  • The student must be the first author of the paper (joint first authorships are not allowed).  
  • The paper must NOT be accepted for publication at the time of submission.
  • The student must be a member of the ASA SLDS section.
  • The student must be willing to attend and present the paper at the 2022 JSM.
  • Students may submit the same paper to be considered for student paper competitions to at most two ASA sections. If and when students win and accept an award from one section, they must inform the other sections involved, thereby removing them from the competition for the other section.
  • Each student may only submit one paper to this competition.

Applications: 

Please use this form (https://forms.gle/nR1rJaSznjveTWNP7) to submit the paper by December 15th, 2021, at 11:59 PM EST. This form will ask you to upload a blinded manuscript that removes any author identifying information. The submitted manuscript can follow any style and formatting, but the length of the paper is limited to be at most 30 pages double spaced (excluding reference and appendices). All materials must be in English. Please submit the manuscript as a PDF file.

Selection Criterion:

Submissions will be reviewed by the SLDS Student Paper Competition Award committee. The selection criteria used will include statistical novelty, innovation and significance, relevance to statistical learning and data science, and the professional quality of the manuscript.

For questions, please contact the SLDS 2022 Student Paper Award Co-chairs, Xingye Qiao (qiao@math.binghamton.edu) and Jacob Bien (jbien@usc.edu).


Call for papers

Student Paper Competition - JSM 2021
Sponsored by: ASA Section on Statistical Learning and Data Science
Key dates: December 15th, 2020 (11:59pm EST)

The Section on Statistical Learning and Data Science (SLDS) of the American Statistical Association (ASA) is sponsoring a student paper competition for the 2021 Joint Statistical Meetings in Seattle, Washington, on August 7th - 12th, 2021.  The paper should be original theoretical, methodological, or applied research that uses principles of statistical learning and data science.  Papers that have been accepted for publication are NOT eligible for the competition.  Student winners will present their papers in a designated topic-contributed session at the 2021 JSM organized by the award committee. In this session, they will be presented with a monetary prize ($1000) and an award certificate.   Additionally, several honorable mentions may be awarded.
 
Eligibility:
  • The student (graduate or undergraduate) must be enrolled in a degree-granting institution on December 1, 2020.
  • The student must be the first author of the paper (joint first authorships are not allowed).  
  • The paper must NOT be accepted for publication at the time of submission.
  • The student must be a member of the ASA SLDS section.
  • The student must be willing to attend and present his or her paper at the 2021 JSM.
  • Students may only submit a manuscript to be considered for student paper competitions to at most two ASA sections. Students must inform both sections applied to when he or she wins and accepts an award, thereby removing the student from the award competition for the second section. 

Applications:
 
Please use this form to submit your paper by December 15th, 2020, at 11:59 PM EST.  This form will ask you to upload a blinded manuscript that removes any author identifying information.  The submitted manuscript can follow any style and formatting.  All materials must be in English.
Selection Criterion:
 
Submissions will be reviewed by the SLDS Student Paper Competition Award committee. The selection criteria used will include statistical novelty, innovation and significance, relevance to statistical learning and data science, and the professional quality of the manuscript.

For questions, please contact Dr. Irina Gaynanova, SLDS 2021 Student Paper Award Chair,  irinag@stat.tamu.edu



Data Science in Action in Response to the Outbreak of COVID-19



Archived Webinars





New SLDS Webinar

Title: Introductory Overview Lectures in Social Network
Presenters: Daniel Sewell, University of Iowa, Tianxi Li, University of Virginia, and Purnamrita Sarkar, University of Texas at Austin
Date and Time: Friday, April 3, 2020, 2:30pm-4:00pm. Eastern Time
Sponsor: Statistical Learning and Data Science Section

Registration Deadline: Wednesday, April 1, at 12:00 p.m. Eastern time

Description:
The vision for social network analysis is to characterize networked structures of individuals. As we are entering a big-data era when rich information about individual behavior is collected, analyzing the connection and dependence among individuals is drawing great attention, especially in the fields of social media networks, knowledge transmission, organizational studies and even anomaly detection. In this webinar, we will introduce exploratory network data analysis, visualization, static network modeling, and optimization for network based inference. Three experts will illustrate their experiences and knowledge from different perspectives. Practical examples will be discussed. The webinar aims at providing an introduction of modern social network analysis to non-statisticians, statisticians and data scientists with varying statistical knowledge.

Registration:
SLDS Section Members: $0
ASA Members: $15
Nonmembers: $30

Each registration is allowed one web connection. Sound is received via audio streaming from your computer’s speakers. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).


Registration Link: https://www.amstat.org/ASA/Education/Web-Based-Lectures.aspx








ASA Statistical Learning and Data Science Section Breiman Award Nominations Sought

The Breiman Award Committee of the Statistical Learning and Data Science Section, chaired by Professor David Madigan, invites nominations for the senior and junior awards in honor of Professor Leo Breiman (1928-2005).

Breiman's work helped to bridge the gap between statistics and computer science, particularly in the field of machine learning. His most important contributions were his work on classification and regression trees, ensemble estimators, and random forests.

The Breiman Award Committee selects the Breiman senior scholar and junior scholar based on outstanding theoretical or methodological contributions to machine learning and/or computational statistics, contributions which have made a substantial, sustained impact on the subject and on practical applications.  Nominations are accepted in odd-numbered years.

The award includes a monetary prize, a plaque, and an invited lecture at JSM two years later.

The Breiman junior scholar must have received a doctoral degree no earlier than 2007, and been a SLDS section member at least for two years, as of December 15, 2019.

Nominations are due by December 15, 2019. A nomination packet including a nominating letter, up to three supporting letters (the nominator may also write one of the supporting letters), and curriculum vitae of the nominee should be sent to:

Breiman Award Committee Chair
David Madigan, Professor of Statistics
Columbia University
david.madigan AT columbia.edu


ASA SLDS 2020 Student Paper Competition
Call for papers


Student Paper Competition - JSM 2020
Sponsored by: ASA Section on Statistical Learning and Data Science

Key dates: December 15th, 2019 (11:59pm EST)

The Section on Statistical Learning and Data Science (SLDS) of the American Statistical Association (ASA) is sponsoring a student paper competition for the 2020 Joint Statistical Meetings in Philadelphia, Pennsylvania, on August 1st - 6th, 2020.  The paper should be original theoretical, methodological, or applied research that uses principles of statistical learning and data science.  Papers that have been accepted for publication are NOT eligible for the competition.  Student winners will present their papers in a designated topic-contributed session at the 2020 JSM organized by the award committee. In this session, they will be presented with a monetary prize ($1000) and an award certificate.   Additionally, several honorable mentions may be awarded.

 Eligibility:

  • The student (graduate or undergraduate) must be enrolled in a degree-granting institution on December 1, 2019.
  • The student must be the first author of the paper.  
  • The paper must NOT be accepted for publication at the time of submission.
  • The student must be a member of the ASA SLDS section.
  • The student must be willing to attend and present his or her paper at the 2020 JSM.
  • Students may only submit a manuscript to be considered for student paper competitions to at most two ASA sections.  

Applications:

 Please use this form to submit your paper by December 15th, 2019, at 11:59 PM EST.  This form will ask you to upload a blinded manuscript that removes any author identifying information.  The submitted manuscript can follow any style and formatting.  All materials must be in English.

Selection Criterion:

 Submissions will be reviewed by the SLDS Student Paper Competition Award committee. The selection criteria used will include statistical novelty, innovation and significance, relevance to statistical learning and data science, and the professional quality of the manuscript.


________________________________________
Previous Announcements
________________________________________
ASA SLDS 2019 Student Paper Competition
 
Call for papers
Student Paper Competition - JSM 2019
Sponsored by: ASA Section on Statistical Learning and Data Science

Key dates: December 15th, 2018 (11:59pm EST)

The Section on Statistical Learning and Data Science (SLDS) of the American Statistical Association (ASA) is sponsoring a student paper competition for the 2019 Joint Statistical Meetings in Denver, Colorado, on July 27th-August 1st, 2019.  The paper should be original theoretical, methodological, or applied research that uses principles of statistical learning and data science.  Papers that have been accepted for publication are NOT eligible for the competition.  Student winners will present their papers in a designated topic-contributed session at the 2019 JSM organized by the award committee. In this session, they will be presented a monetary prize ($1000) and an award certificate. 
 
Eligibility:
  • The student (graduate or undergraduate) must be enrolled in a degree granting institution on December 1, 2018.
  • The student must be the first author of the paper.  
  • The paper must NOT be accepted for publication at the time of submission.
  • The student must be a member of the ASA SLDS section.
  • The student must be willing to attend and present his or her paper at the 2019 JSM.
  • Students may only submit a manuscript to be considered for student paper competitions to at most two ASA sections.  

Applications:
 
Please use this form to submit your paper by December 15th, 2018, 11:59 EST.  This form will ask you to upload a blinded manuscript that removes any author identifying information.  The submitted manuscript can follow any style and formatting.  All materials must be in English.
Selection Criterion:
 
Submissions will be reviewed by the SLDS Student Paper Competition Award committee. The selection criteria used will include statistical novelty, innovation and significance, relevance to statistical learning and data science, and the professional quality of the manuscript.





The Conference on Statistical Learning and Data Science / Nonparametric Statistics
Monday, June 3 - Wednesday, June 6, 2018

Upcoming SLDS Conference!
Mark your calendars! The Conference on Statistical Learning and Data Science / Nonparametric Statistics, will be held June 3-6, 2018 at Columbia University.
The program will be chaired by SLDS' very own Annie Qu (anniequ@illinois.edu) and Cynthia Rudin (cynthia@cs.duke.edu).
Thank you, Annie and Cynthia, for putting together a great program!

Registration is now open!
Click HERE to register online.
The paper registration form is: SLDS2018_Reg_Form.pdf

If you are looking for the website for 4th International Symposium SLDS 2018 in Paris
Please see here.


ASA SLDS JSM 2018 Student Paper Competition
 
Call for papers
Student Paper Competition - JSM 2018
Sponsored by: ASA Section on Statistical Learning and Data Science

Key dates: December 15th, 2017 (11:59pm EST)

The Section on Statistical Learning and Data Science (SLDS) of the American Statistical Association (ASA) is sponsoring a student paper competition for the 2018 Joint Statistical Meetings in Vancouver, Canada, on July 28th-August 2nd, 2018.  The paper should be original theoretical, methodological, or applied research that uses principles of statistical learning and data science.  Papers that have been accepted for publication are NOT eligible for the competition. Student winners will present their papers in a designated topic-contributed session at the 2018 JSM organized by the award committee. In this session, they will be presented a monetary prize ($1000) and an award certificate. Winning papers will also be recommended for submission to Statistical Analysis and Data Mining: The ASA Data Science Journal, which is the flagship journal of the SLDS Section.

Eligibility:
  • The student (graduate or undergraduate) must be enrolled in a degree granting institution in Fall 2017 or Winter / Spring 2018.
  • The student must be the first author of the paper.  
  • The paper must not be accepted for publication at the time of submission.
  • The student must be a member of the ASA SLDS section.
  • The student must be willing to attend and present his or her paper at the 2018 JSM.

Application Materials:
Please send the following application materials (as PDF attachments) to Genevera Allen (gallen@rice.edu) by December 15th, 2017, 11:59 EST:
  1. The email should be entitled "2018 SLDS student paper competition" and include (a) the paper title, (b) a list of all authors and their contact information, (c) the abstract (not to exceed 1000 characters), and (d) keywords.
  2. Unblinded manuscript.  The paper, including all figures and references, should be no more than 25 pages in double-spaced 11pt font with 1 inch margins. 
  3. Blinded manuscript.  Please remove author names and any other identifying information.
  4. A brief letter from a faculty advisor or co-author that includes (a) verification of the applicant's student status, (b) verification that the paper meets the eligibility requirements, and in the case of joint authorship, (c) the fraction of and (d) a brief outline of the applicant's contribution to the manuscript.
All materials must be in English.
Selection Criterion:
Complete submissions will be reviewed by the SLDS Student Paper Competition Award committee. The selection criteria used by the committee will include statistical novelty, innovation and significance, relevance to statistical learning and data science, and the professional quality of the manuscript.

This year’s student competition is sponsored ASA SLDS and is chaired by Professor Genevera Allen (Rice University). Award announcements will be made in mid-January 2018. For inquiries, please contact Genevera Allen (gallen@rice.edu).

 

 

Upcoming SLDS Conference!

Mark your calendars! The Conference on Statistical Learning and Data Science / Nonparametric Statistics, will be held June 4-6, 2018 at Columbia University.

Our three keynote speakers will be Michael I. Jordan, Liza Levina, and David Madigan, along with banquet speaker Cathy O'Neil.

The program will be chaired by SLDS' very own Annie Qu (anniequ@illinois.edu) and Cynthia Rudin (cynthia@cs.duke.edu).

Thank you, Annie and Cynthia, for putting together a great program!

 If you’re looking for the 2018 edition of the Symposium on Learning and Data Science, click here.

 

ASA SLDS JSM 2017 student paper competition

Call for papers
Student Paper Competition - JSM 2017 (July 29th-Aug 3rd, 2017, Baltimore, MD)
ASA Section on Statistical Learning and Data Science
Sponsored by SLDS

 Key dates:
• Abstracts due December 15th, 2016
• Full papers due January 4th, 2017

The Section on Statistical Learning and Data Science (SLDS) of the American Statistical Association (ASA) is sponsoring a student paper competition for the 2017 Joint Statistical Meetings in Baltimore, MD, on July 29th-August 3rd, 2017.

The paper might be an original methodological research or a real-world application (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 science.

Papers that have been accepted for publication are NOT eligible for the competition. Selected winners will present their papers in a designated topic-contributed session at the 2017 JSM in Chicago, IL organized by the award committee. In this 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 SLDS Section.

Graduate or undergraduate students who are enrolled in Fall 2016 or Winter/Spring 2017 are eligible to participate. The applicant MUST be the first author of the paper.

Abstracts (up to 1000 characters) are due 12:00 PM (noon) EST on December 15th, 2016 and shall be submitted via this Abstract submission form (https://goo.gl/forms/jkPrjVuRbeLUufGm2). ONLY students who submit their abstracts on time are eligible for submitting full papers after 12/15/2016.

Full papers and other application materials must be submitted electronically (in PDF, see instruction below) to Professor Tian Zheng (tian.zheng@columbia.edu) by 12:00 PM (noon) EST on Wednesday, January 4th, 2017. ONLY students who submit their abstracts by 12/15/2016 are eligible for submitting full papers.

All full paper email entries must include the following:
  1. An email message contains:
    • List of authors and contact information;
    • Abstract with no more than 1000 characters.
  2. Unblinded manuscript - double-spaced with no more than 25 pages including figures, tables, references and appendix. Please use 11pt fonts (preferably Arial or Helvetical) and 1 inch margins all around.
  3. Blinded versions of the abstract and manuscript (with no authors nor references that could easily lead to author identification).
  4. 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.

This year’s student competition is sponsored ASA SLDS and is chaired by Professor Tian Zheng (Columbia University). Award announcements will be made in mid-January 2017. For inquiries, please contact Professor Tian Zheng (tian.zheng@columbia.edu).