News Room

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

On a rich blue background lies several elaborate white letters below which is the text "The Franz Edelman Award Achievement in Operations Research" within two horizontal white lines.
News Release

The finalists for the 2026 Franz Edelman Award innovate in supply-chain replenishment, food distribution, cloud fulfillment and carbon-aware high-performance computing.

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A silhouette of a young man looking at a phone in a dark room.
Media Coverage

Spending lots of scrolling through social media videos is a habit that many people often fall into. While it can be entertaining, mental health experts say it also can be harmful.

In journal Information System Research, researchers posted a model they created that uses AI to detect which videos can affect mental health, or even spark suicidal thoughts.

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A line of school busses, front to back, curving across the image.
News Release

In a new study, advanced analytics demonstrates that healthier school schedules are not only achievable but can also improve district operations and reduce costs.

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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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Analytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.

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