Fair Matching Systems Can Still Produce Unequal Outcomes, New Research Finds
A computerized matching system can be designed to be fair and still produce unequal outcomes if the people using it do not understand how it works.
In the run-up to the 2026 midterm elections, the political parties in many states are working to redefine their congressional district maps to gain every possible edge. From California and Texas to Tennessee and Virginia, redistricting efforts have taken center stage. The Supreme Court has sanctioned partisan gerrymandering, and the system has evolved to one in which state legislature majorities get to determine who is most likely to fill those seats in Congress.
In short, gerrymandering has become a central feature of the system, not a bug. But what if we rethink the structure entirely?
Fake Hermès Birkin bags and other counterfeit luxury goods are popular not only with people on a budget, but also with those with deeper pockets, a new study suggests.
Researchers from the National University of Singapore analyzed millions of counterfeit purchases by American consumers from more than 24,000 U.S. zip codes on a major cross-border, e-commerce platform. They found that both lower- and higher-income individuals are “significantly more likely” to buy fake luxury items than middle-income consumers, according to a press release by INFORMS on Monday.
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A computerized matching system can be designed to be fair and still produce unequal outcomes if the people using it do not understand how it works.
We are drowning in numbers, and we no longer understand what they mean. Every day, headlines bombard us with figures meant to inform: billions in spending, trillions in debt, percentages signaling growth or decline. But for most of us, these numbers blur together. They register as “large” or “small,” but almost never as real. And that is more than a math problem. It is a civic one.
Big data, artificial intelligence and advanced pricing algorithms make it easier than ever for companies to fine-tune prices for individual products to closely reflect their unique value and cost. The conventional wisdom is straightforward: better data, better algorithms and sharper segmentation should produce better profits. But new research suggests that the most profitable answer isn’t always more fine-grained pricing across a product line. In fact, it is fewer, better-chosen price points.
INFORMS has awarded Microsoft (NASDAQ: MSFT) its 2026 Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science, for reengineering how global cloud infrastructure is planned and delivered, applying advanced analytics and AI to orchestrate complex fulfillment decisions across its rapidly expanding data center network.
INFORMS has awarded Microsoft, a global leader in cloud computing and technology solutions, the 2026 INFORMS Prize. This prestigious award recognizes Microsoft’s use of advanced analytics and O.R. to optimize its end-to-end cloud infrastructure and capacity management to deliver best-in-class efficiency, scalability and reliability.

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