Revenue Management and Pricing 2024 Jeff McGill Student Paper Award

The INFORMS Revenue Management and Pricing (RMP) Section announces the 2024 Jeff McGill Student Paper Award. The awards are given annually for student papers judged to be the best in the field of revenue management and pricing.

The first prize is accompanied by a $500 honorarium. The second prize is accompanied by a $300 honorarium. All other finalists, if any, will be awarded $100. The number of finalists will depend on the number of entries. All prizes, including finalists, are accompanied by a plaque in addition to the cash award. 

Eligibility Conditions:

There are five conditions for eligibility:

1. The entrant must have been a student on or after January 1, 2024, and the research presented in the paper must have been conducted while the entrant was a student.
2. The submitted paper must present original research conducted primarily by the student entrant. Some assistance from other individuals (such as the student's faculty advisor) is permitted; however, the entrant's primary research advisor must certify that the student's share of contribution to the paper exceeds 50%.
3. Entrants must be a member of the RMP Section on the date of submission.
4. The paper must not have won a prize (1st-2nd) in a previous student paper competition.
5. A student may submit at most one paper.

Submission Requirements:

 A complete entry consists of:

1. The paper in completely anonymous form and PDF file format, with a length of at most 32 pages including the appendix, tables, figures, and references, and strictly compliant with all submission formatting standards of the journal Operations Research or Management Science. There could be appendices beyond the 32-page limit, but the judges are not responsible for covering those materials. The file name should be the short title of the paper.
2. An electronic PDF file of a letter signed by a faculty advisor and the entrant attesting that the entrant and the paper satisfy the eligibility conditions. The letter should state the entrant's contact information, the contact information of the entrant's primary research advisor and all co-authors, the paper title, and appropriate keywords for the submitted paper.

The above documents should be submitted by the entrant using the INFORMS Award System: https://informs-awards.secure-platform.com/a/solicitations/246/home. Complete entries must be received on or before July 10th, 2024. It is the entrant's responsibility to allow for the appropriate time to enroll as a new member of the RMP section (approximately five business days). If you want to join RMP, please email Eileen Francis at efrancis@informs.org.

Please email Beth West at bwest@informs.org with any submission problems.

2024 RMP Student Paper Award Committee:

• Andres Cristi, EPFL
• Antoine Désir, INSEAD
• Can Küçükgül, Rutgers University
• Chamsi Hssaine, University of Southern California
• Daniel Freund, Massachusetts Institute of Technology
• Divya Singhvi, New York University
• Francisco Castro, UCLA
• Hannah Li, Columbia University
• Jackie Baek, New York University
• Jiashuo Jiang, Hong Kong University of Science and Technology
• Jinglong Zhao, Boston University
• Lennart Baardman, University of Michigan
• Mika Sumida, University of Southern California
• Murray Lei, Queen's University
• Pengyu Qian, Purdue University
• Raghav Singal, Dartmouth College
• Santiago Balseiro (chair), Columbia University
• Somya Singhvi, University of Southern California
• Tianyi Peng, Columbia University
• Wang Chi Cheung, National University of Singapore
• Zhe Liu, Imperial College London

• First Place:
  • “How Big Should Your Data Really Be? Data Driven Newsvendor and the Transient of Learning” by Omar Mouchtaki (Columbia)
• Second Place:
  • “Experimental Design in Two-Sided Platforms: An Analysis of Bias” by Hannah Li (Stanford)
• Finalist:
  • “Fair Exploration via Axiomatic Bargaining” by Jackie Baek (MIT)
  • “Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack” by Jiashuo Jiang (NYU)
  • “Labor Cost Free-Riding in the Gig Economy” by Zhen Lian (Cornell)
  • “Blind Dynamic Resource Allocation in Closed Networks via Mirror Backpressure” by Pengyu Qian (Columbia)

• First Place:
  • “Design and Analysis of Switchback Experiments” by Jinglong Zhao (MIT)
• Second Place:
  • “Engineering Social Learning: Information Design of Time-Locked Sales Campaigns for Online Platforms” by Can Küçükgül (UT Dallas)
• Honorable Mention:
  • “Optimizing Offer Sets in Sub-Linear Time” by Deeksha Sinha (MIT)
  • “Cold Start on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments” by Zikun Ye (UIUC)