The INFORMS Revenue Management and Pricing (RMP) Section announces the 2025 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:
- The entrant must have been a student on or after January 1, 2025, and the research presented in the paper must have been conducted while the entrant was a student.
- 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%.
- Entrants must be a member of the RMP Section on the date of submission.
- The paper must not have won a prize (1st-2nd) in a previous student paper competition.
- A student may submit at most one paper.
Submission Requirements:
A complete entry consists of:
- 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.
- 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 form available at:
https://docs.google.com/forms/d/e/1FAIpQLScpEqnBaCHM6170FLp1EuZGZx80Ek68kaaCmhNTrPCEvR7yAA/viewform.
Complete entries must be received on or before August 3rd, 2025.
2025 Organizers:
- Negin Golrezaei, Associate Professor of Operations Management, MIT Sloan School of Management
- Victor Martínez de Albéniz, Professor in the Operations, Information and Technology Department, IESE Business School
2025 Winners and Finalists
- First Place (/Winners):
- “Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions” by Sourav Sahoo (MIT)
- Second Place:
- “Saving Kermit: Dynamic Assortment Planning in a Boiling Market” by Eneko Ciro Clemente (University of Zurich)
- “Validating Counterfactual Estimations Under General Network Interference” by Sadegh Shirani (Stanford)
- Finalist:
- “Differences-in-Neighbors for Network Interference in Experiments” by Naimeng Ye (Columbia)
- “Managing Tail Risk in Online Learning: Efficiency, Safety, Robustness, and Relationship to AlphaGo” by Feng Zhu (MIT)
2024 Winners and Finalists
- First Place (/Winners):
- “Feature-Based Dynamic Pricing” by Akshit Kumar (Columbia)
- “Strategically-Robust Learning Algorithms for Bidding in First-Price Auctions” by Rachitesh Kumar (Columbia)
- Second Place:
- “Optimizing Adaptive Experiments: A Unified Approach to Regret Minimization and Best-Arm Identification” by Chao Qin (Columbia)
- Finalist:
- “Bayesian Online Multiple Testing: A Resource Allocation Approach” by Feng Zhu (MIT)
2023 Winners and Finalists
- First Place:
- “Food Subsidies at the Base-of-the-Pyramid: Take-up, Substitution Effects and Nutrition” by Alp Sungu (London Business School)
- Second Place:
- “Signaling Competition In Two-Sided Markets” by Yuri Fonseca (Columbia)
- Finalist:
- “Causal Inference under Network Interference using a Mixture of Randomized Experiments” by Yiming Jiang (Georgia Tech)
- “Dynamic Resource Allocation: Algorithmic Design Principles and Spectrum of Achievable Performances” by Akshit Kumar (Columbia)
2022 Winners and Finalists
- First Place:
- “Markovian Interference in Experiments” by Tianyi Peng & Andrew Zheng (MIT)
- Second Place:
- “Designing Layouts for Sequential Experiences: Application to Cultural Institutions” by Abishek Deshmane (IESE)
- Finalist:
- “Multi-Item Order Fulfillment Revisited: LP Formulation and Prophet Inequality” by Ayoub Amil (Duke)
- “Feature-based Dynamic Pricing with Online Learning and Offline Data” by Yunzong Xu & Sabrina Zhai (MIT)
- “Model-Free Assortment Pricing with Transaction Data” by Saman Lagzi (University of Toronto)
- “Price Discrimination with Fairness Constraints” by Xiao Lei (Columbia)
- “Data-Driven Asset Selling” by Puping (Phil) Jiang (Washington University)
- “Dynamic Learning in Large Matching Markets” by Anand Kalvit (Columbia)
- “UMOTEM: Upper Bounding Method for Optimizing over Tree Ensemble Models” by Leann Thayaparan (MIT)
- “Joint Product Design and Dynamic Assortment Optimization: Integrating Strategic and Tactical Revenue Management” by Mengxin Wang (UC Berkeley)
2021 Winners and Finalists
- 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:
2020 Winners and Finalists
- 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)
2019 Winners and Finalists
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First Place:
- “Dynamic Pricing of Relocating Resources in Large Networks” by Chen Chen (Duke)
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Second Place:
- “Decision Forest: A Nonparametric Approach to Modeling Irrational Choice” by Yi-Chun Chen (UCLA)
- “Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising” by Raghav Singal (Columbia)
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Finalist:
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“The Value of Price Discrimination in Large Random Networks” by Jiali Huang (Minnesota)
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“Sequential Procurement with Contractual and Experimental Learning” by Gregory Macnamara (Stanford)
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“Matching in Online Marketplaces when Talent is Difficult to Discern” by Jiding Zhang (Upenn)