News Room

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

USA Cycling Awarded the 2025 INFORMS Edelman Award for Data-Driven Olympic Gold Strategy
News Release

BALTIMORE, MD, April 7, 2025 – INFORMS, the world’s largest association for professionals and students in operations research (O.R.), AI, analytics and data science, announced it has awarded USA Cycling its 2025 Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science, for its use of operations research (O.R.) and analytics in elite sports performance. With Project 4:05, USA Cycling transformed race strategy and athlete preparation, enabling the Women’s Team Pursuit to win gold at the 2024 Paris Olympics.

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Trump Vows to Veto Bill Blocking Tariffs as Markets Reel
Media Coverage

A bipartisan push in Congress would return the power to impose tariffs to the legislature.

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The Hidden Threat in America’s Defense: Our Energy Grid
Media Coverage

The threat of a terrorist attack on America’s energy grid is growing, with attempts being reported at increasing rates. If it’s not terrorism, it could be adversarial nation-states. This all increases the likelihood that a significant attack on the grid could succeed, leaving large swaths of the U.S. in the dark.

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Resoundingly Human Podcast

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

Media Contact

Ashley Smith
Public Affairs Coordinator
INFORMS
Catonsville, MD
[email protected]
443-757-3578

INFORMS in the News

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Real estate and workplace optimization requires more than sensors and IoT

Real estate and workplace optimization requires more than sensors and IoT

Propmodo, February 24, 2019

Jane Mather, INFORMS member and Founder and Principal of Critical Core, encourages businesses looking to improve space usage and management to look beyond new workplace software and tools, especially in complex situations, or they could be looking at millions of dollars lost. 

In the fight against human trafficking, industrial engineers can help

In the fight against human trafficking, industrial engineers can help

News @ Northeastern, February 8, 2019

Kayse Lee Maass, an INFORMS member and assistant professor of mechanical and industrial engineering at Northeastern University, believes engineers have tools that can help fight human trafficking. The same techniques used to model supply chains or plan media campaigns can be adapted to find ways to disrupt trafficking networks or organize support services for survivors.

Machine learning can improve the process for identifying consumer needs

Machine learning can improve the process for identifying consumer needs

Market Business News, February 8, 2019

New research in the INFORMS journal Marketing Science has found that machine learning can really improve the process of identifying consumer needs. Consumer brands globally have long used old-fashioned focus groups. They have also used surveys and interviews to gauge consumer needs, wants, and desires. They have used them as part of the processes that include marketing, sales, and product development.

Can machine learning deliver critical market insights on consumer needs faster and cheaper?

Can machine learning deliver critical market insights on consumer needs faster and cheaper?

News Release, February 7, 2019

CATONSVILLE, MD, February 7, 2019 – Consumer brands have long used old-fashioned focus groups, interviews and surveys to best gauge consumer wants, desires and needs as part of processes that range from product development, to marketing and sales. As machine learning and artificial intelligence (AI) have emerged, there is an increasing interest in the ability to harness these solutions to save time and money, and to yield more reliable consumer insights.

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INFORMS Magazines

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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