The Wagner Prize recognizes and rewards quality and coherence of analysis used in practice.
Dr. Daniel H. Wagner strove for strong mathematics applied to practical problems, supported by clear and intelligible writing. This prize recognizes those principles by emphasizing strong analytical content, good writing, and verifiable practice successes. Past winners include: DiDi Research, DiDi Chuxing, Cornell University, Lyft, Uber, Pennsylvania Department of Corrections, Georgia Tech, Centers for Disease Control, Ford Motor Company, MIT, Duke University, University of Chile, United States Coast Guard, Intel Corporation, IBM, and Princeton University.
What is the Wagner Prize?
The Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research was established in 1998 to commemorate the life and work of Dr. Daniel H. Wagner, who strove for strong mathematics applications to practical problems and for these solutions to be supported by clear and intelligible writing. Previous and current judges are selected from highly skilled analytics professionals who will assess applicants on the following criteria:
Clear, Well-Written Papers
Finalists papers are published in the INFORMS Journal on Applied Analytics (formerly Interfaces). Your words will reach beyond the judges' table to the wider analytics profession so they need to be well communicated.
Strong Analytical Content
The quality and coherence of the analysis used in a submission is the whole reason we're here. You've done great work and it's time to highlight that effort. Time to show the world your mathematical development, solution, unique new algorithm, or series of coherent advances developed in conjunction with an application.
Success, No Matter the Size
Did your proposed mathematical solution to a practical problem work? Great! A successful application doesn't have to change an entire industry to be recognized as excellent work. What's important is the work you've accomplished, not necessarily it's quantitative impact.
Previous Wagner Finalists Share Their Work
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The Sort-Assemble-Blend Routing Problem and its Application to Semiconductors
For decades, the semiconductor industry norm was to pack all required capabilities (such as memory, compute, and graphics) into a single monolithic design that was printed onto one single large die, packaged, and sold.
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Interpretable O.R. for High-stakes Decisions: Designing the Greek COVID-19 Testing System
The paper describes the design, deployment, and impact of a reinforcement learning system for targeted COVID-19 testing of all visitors to Greece during summer 2020.
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Theory-driven Practical Approach to Integrate R&D and Production Planning for Portfolio Management in Agribusiness
The paper describes agribusiness firms with an eye toward increasing population & evolving weather patterns, investing heavily into developing new varieties of staple crops that can provide higher yields & are robust to weather fluctuations.
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Increasing Automobile Safety with Better Testing Procedures
Ford has performed over 20,000 crash tests since 1954. This number has increased substantially in recent years as the company launched more products and performed additional tests required by safety regulations.
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Primal-Dual Algorithms for Order Fulfillment at Urban Outfitters, Inc.
We formulate the omni-channel fulfillment problem as an online optimization problem. We propose a novel algorithm for this problem based on the primal-dual schema.
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Collaborative Human-UAV Search and Rescue
The use of unmanned aerial vehicles (UAVs) is becoming commonplace in search and rescue tasks in complex terrains. In the literature, there are a number of studies on UAV search with the objective of minimizing search time and/or maximizing detection probability.
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Centralized Admissions for Engineering Colleges in India
We designed and implemented a new joint seat allocation process for undergraduate admissions to over 500 programs spread across 80 technical universities in India, including the Indian Institutes of Technology (IITs).
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Analytics and Bikes
Bike-sharing systems are now ubiquitous across the U.S. We have worked with Motivate, the operator of the largest such systems, including in New York, Chicago and San Francisco, to innovate data-driven approaches for bike-sharing.
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Machine Learning Framework for Predicting Vaccine Immunogenicity
The ability to better predict how different individuals will respond to vaccination and to understand what best protects them from infection marks an important advance in developing next-generation vaccines.
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Going Beyond GPS to Identify Safe Routes for Heavy Truck Drivers
Every day millions of people rely on GPS to navigate to and from locations around the world. But what happens if you must frequently travel through an area that is accessed primarily by private roads, or you drive a vehicle that cannot safely navigate on certain routes?
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Combinatorial Exchanges for Trading Fishery Access Rights
Overfishing is a prime environmental concern. Catch share systems have recently been shown to be effective tools to combat overfishing. Yet, the allocation of catch shares has always been a challenging policy problem.
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What’s Wrong with My Dishwasher?
Miele, a leading appliance manufacturer, is looking to optimize the ways in which they solve customer problems quickly and efficiently. A crucial part of this task is precise diagnosis of faults, before and during technician visits.
Share Your Achievements
Math is your life. You’ve worked hard and you've made an impact. Share your success.
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