Awards

The Section on Statistics in Marketing offers an annual Doctoral Dissertation Research Award. The competition is open to qualified doctoral students worldwide whose dissertation research is at the intersection of marketing and statistical methods. Doctoral students should submit a research paper that is based upon their dissertation.

An award committee appointed by the American Statistical Association's Section on Marketing Committee will judge submissions on their potential contribution to the application of statistics in marketing. This contribution may be theoretical, methodological, or substantive in nature. Important factors in assessing the research will be the quality of the conceptual development, creativity, rigor, and clarity of the paper. The deadline for the paper is during December, finalists are notified in January, and JSM occurs in August.

Past recipients and finalists are listed below (the University which granted the PhD is in parentheses, a link to the person's current website, and a link to the current working or published paper):

• 2023
  • Recipient: Yingkang Xie (Northwestern), Platform Leakage: Incentive Conflicts in Two-Sided Markets
  • Ozge Demirici (Univ of Warwick), "Can Gender-Blind Algorithmic Pricing Eliminate the Gender Gap?"
  • George Gui (Stanford), "Designing Promises with Reference-Dependent Customers: The Case of Online Grocery Delivery Time"
  • Ankit Sisodia (Yale), "Quantifying Visual Characteristics of Products: An Application to Visual Conjoint Analysis and Market Structure Maps"
  • Mohsen Foroughifar (Toronto), "The Challenges of Deploying an Algorithmic Pricing Tool: Evidence from Airbnb"
• 2022
  • Recipient: Hortense Fong (Yale), “A Theory-Based Interpretable Deep Learning Architecture for Music Emotion”
  • Fanglin Chen (NYU Stern School of Business), "Product2Vec: Understanding Product-Level Competition Using Representation Learning"
  • Madhav Kumar (MIT Sloan School of Management), "Scalable Bundling via Dense Product Embeddings"
  • Maximilian Matthe (Goethe University Frankfurt), "Mapping Market Structure Evolution"
  • Yuting Zhu (MIT Sloan School of Management), "Zero to One: Sales Prospecting with Augmented Recommendation"
• 2021
  • Recipient: Jeremy Yang (MIT), “Targeting for Long-Term Outcomes”
  • Ziwei Cong (HKUST), "Monetizing User-Generated Content: Design and Incentive"
  • Olivia Natan (Univ. of Chicago), "Choice Frictions in Large Assortments"
  • Prashant Rajaram (Univ. of Michigan), "Modeling Viewer and Influencer Behavior on Streaming Platforms"
  • Isamar Troncoso (Univ. of Southern California), "Look the Part? The Role of Profile Pictures in Online Labor Markets"
• 2020
  • Recipient: Min Kim (Maryland), “Discovering Online Shopping Preference Structures in Large and Frequently Changing Assortments”
  • Recipient: Omid Rafieian (Univ of Washington), “Adaptive Ad Sequencing”
• 2018
  • Recipient: Liu Liu (NYU Stern), “Visual Listening in: Extract Brand Image Portrayed in Social Media”
  • Recipient: Ryan Dew (Columbia), “Gaussian Processes for Customer Purchasing Dynamics”
• 2017 (given jointly with MSI)
  • Recipient: Daniel McCarthy (Univ of Pennsylvania), "Customer-Based Corporate Valuation: Modeling with Limited, Aggregated, Missing Data"
  • Recipient: Andrey Simnov (Univ of Chicago), "Demand for (Un)Biased News"