News Room

A collection of press releases, audio content and media clips featuring INFORMS members and their research.

Court Backlogs Are Clogging the System – New Research Finds a Surprising Fix
News Release

BALTIMORE, MD, April 21, 2025 – Courts around the world are struggling to keep up with growing caseloads, leaving individuals and businesses waiting months – sometimes years – for resolution. But a new study in the INFORMS journal Manufacturing & Service Operations Management has uncovered a surprisingly simple way to speed up the system that doesn’t require hiring more judges.

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China’s rare earth minerals power the modern world. Banning their export could destroy it
Media Coverage

Beijing has a virtual monopoly on rare earth minerals—the materials that power everything from military planes to your electric toothbrush.

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Trump’s tech tariff confusion
Media Coverage
The Trump administration’s back-and-forth moves on tariffs for technology products are stirring confusion in a sector heavily reliant on global supply chains.  
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Resoundingly Human Podcast

An audio journey of how data and analytics save lives, save money and solve problems.

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INFORMS
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INFORMS in the News

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Tweets better than Google Trends at forecasting TV program ratings

Tweets better than Google Trends at forecasting TV program ratings

News Release, August 1, 2016

CATONSVILLE, MD, August 1, 2016 – How well does the emotional and instantaneous content in tweets perform relative to the more deliberate searches recorded in Google Trends in forecasting future TV ratings? In a massive big data analysis using data from Twitter, Google Trends and other widely used websites for entertainment information, a forthcoming article in the INFORMS journal Marketing Science finds that mining Twitter content is significantly more effective than Google Trends in its ability to predict future TV ratings. 

Employing the traveling salesman problem to optimize Pokémon Go

University of Waterloo, Faculty of Mathematics, The Traveling Salesman Problem, July 13, 2016

With the location-based augmented reality game Pokémon Go exploding in popularity, [INFORMS Fellow] William Cook, professor at the University of Waterloo, applies the traveling salesman problem to create the most efficient routes in several U.S. cities and universities for Pokémon players to reach all the game stops in that area. 

Understanding sports analytics

Insights Weekly, June 30, 2016

An article in the June issue of OR/MS Today, by [INFORMS members] Gary Cokins, Walt DeGrange, Stephen Chambal and Russell Walker, was highlighted for demonstrating that sports analytics can be more easily understood by applying classification techniques. This includes analytics for major league players and managers, as well as individual and amateur sports, and franchise and venue management.

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OR/MS Today is the INFORMS member magazine that shares the latest research and best practices in operations research, analytics and the management sciences.

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