INFORMS Open Forum

Call for participation: INFORMS 2020 QSR Data Challenge

  • 1.  Call for participation: INFORMS 2020 QSR Data Challenge

    Posted 07-02-2020 16:45

    INFORMS Quality, Statistics, and Reliability Section

     

    Data Challenge Call for Participation

     

    The Quality, Statistics and Reliability (QSR) section of Institute for Operations Research and Management Sciences (INFORMS) announces the Data Challenge Award to recognize excellence in data modeling techniques among the submissions to the QSR Data Challenge. This award program brings prestige to the QSR Section as well as to the recipients honored.

     

    Conference dates: November 8-11, 2020

    Location: National Harbor, MD

    Conference website: http://meetings2.informs.org/wordpress/nationalharbor2020/  

     

    The topic of this year's Data Challenge is "CT Scan Diagnosis for COVID-19".

     

    Three to four finalists for the Data Challenge Award will be selected to make presentations at the INFORMS Annual Meeting in National Harbor, MD. The winner will be announced at the QSR business meeting later at the Annual Meeting. All finalists will receive an award certificate. The winner will also receive a plaque of recognition.

     

    Eligibility Requirements:

    • All finalists must be QSR members.
    • Team submission with no more than 4 members per team is encouraged.
    • At least one member of each finalist team must be committed to presenting their work at a special session during the INFORMS Annual Meeting. (In the unfortunate case that INFORMS is to be virtually held due to the COVID-19 pandemic, we will follow INFORMS guidelines and seek alternative presentation formats)

     

    Submission deadline: September 8, 2020 

    Finalist announcement: October 8, 2020.

    Please see attached document for full details. 

     

    Contacts:

    Trung (Tim) Le trung.q.le@ndsu.edu

    Weihong (Grace) Guo, wg152@rutgers.edu

     

    Attachment: Description_INFORMS 2020 QSR Data Challenge



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    Xiaochen Xian
    Assistant professor
    University of Florida
    Gainesville FL
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