The INFORMS Data Mining Society (DMS) is delighted to invite you to organize a session at the INFORMS 2023 Annual Meeting! The meeting will be held October 15-18, 2023 at the Phoenix Convention Center and Hyatt Regency in Phoenix, AZ, USA. You can check out the INFORMS 2023 website for more information.
If you are interested to organize a session in the 2023 INFORMS Annual Meeting, please send an email to informs.dms@gmail.com with the following information by April 11, 2023.
· Tentative title of your planned session
· A short abstract to describe the session topic briefly (within 100 words)
· Four tentative speakers (if you have difficulty to confirm 4 speakers, the DM Society may work with you to fill the session with related talks that match your session topic).
We will review your session proposal and create a session for you in the system. You will then receive an email with detailed instructions to invite and enter presenters in your session. Technical sessions will last 75 minutes (as opposed to 90 minutes as before), which is intented for 4 talks of 15 minutes + Q&A. Note that INFORMS limits speakers to ONE PRESENTATION at the Annual meeting. Each presenter may present only one talk in the Annual Meeting, but can be listed as co-author on multiple talks. As a session chair, you can organize or co-chair more than one session. We look for your active participation and hope you can organize a session at the 2022 INFORMS Annual Meeting. Below are the important deadlines:
· April 11: Deadline to indicate interest of being a Session Chair (with title/abstract)
· May 2: Deadline for Session Chairs to submit Presenters
· May 16: Deadline for Presenters to submit abstracts
· Aug 1: Deadline for Presenter's to register for INFORMS
If you have any questions regarding the session organization, just let me know. We also welcome your referrals of anyone who may be interested to organize a session in the DM cluster in INFORMS 2023.
We really appreciate your consideration and look forward to hearing from you soon!
Best regards,
________________________________________
Nathan Gaw
Assistant Professor of Data Science
Department of Operational Sciences
Air Force Institute of Technology
Email: Nathan.Gaw@afit.edu
Website: www.nathanbgaw.com