INFORMS Open Forum

Deadline extended to June 20th: Call for Submissions for the SOLA Dissertation Award

  • 1.  Deadline extended to June 20th: Call for Submissions for the SOLA Dissertation Award

    Posted 06-14-2022 22:08
    This is a friendly reminder that the INFORMS Section on Location Analysis (SOLA) is accepting applications for the SOLA Dissertation Award. The deadline is approaching, but we have extended it to "June 20th."

    Membership in SOLA is not a prerequisite, and we widely accept applications!

    The INFORMS Section on Location Analysis (SOLA) announces the biennial "SOLA Dissertation Award" given to the best dissertation in the area of Location Analysis. Dissertation eligibility is as follows:

    - written in English
    - completed between January 1, 2020 and December 31, 2021
    - primary focus on substantive, theoretical or methodological issues in location analysis and modeling

    Completed dissertations from all disciplines, including management science, industrial engineering, transportation science, geography, and economics, will be considered. Applicants are required to submit a dissertation package that includes the following as a single PDF file:

    1. a cover letter stating the name of their supervisor(s)
    2. a letter from their supervisor supporting their submission
    3. a two-page summary of their dissertation research
    4. a copy of the dissertation

    Complete packages should be submitted via e-mail no later than June 15st 20th, 2022 to the Chair, SOLA Dissertation Award at the following address.

    Yudai HONMA
    Institute of Industrial Science
    The University of Tokyo

    Competition results and awards will be announced at the INFORMS 2022 Annual Conference.
    If you have any questions related to the competition, please ask by emailing to

    2022 SOLA Dissertation Award Committee
    Yudai Honma (Chair), The University of Tokyo
    Michael Kuby, Arizona State University
    Xiaofeng Nie, Texas A&M University

    Yudai Honma
    Associate Professor
    The University of Tokyo