News Room

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

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Media Coverage

The INFORMS Analytics+ Conference showcased how companies are turning advanced analytics and AI into measurable operational results

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Media Coverage

Museums take this educational role seriously, and many institutions understand the need to sustain and broaden their appeal. “They used to be these big ivory towers of knowledge and history and thought and art,” said Hilary Knight, director of Change& in London and former director of digital at Tate. “Museums themselves are changing their role to be centers for discussion and encounter and to be much more participatory.”

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Media Coverage

American teenagers start their school day too early.

Medical experts have been clear for years: sleep cycle changes during puberty make it hard for teenagers to learn in the early morning. Later school start times have been linked to better sleep, improved mental health, stronger academic performance and even safer driving.

Most school district leaders know about this problem and care about fixing it. But changing the schedule can feel operationally impossible.

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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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Jeff Cohen
Chief Strategy Officer
INFORMS
Catonsville, MD
[email protected]
443-757-3565

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A caucasian man rides a red tractor to the right of the picture. He looks around and back to his field which has some green flora showing but is thoroughly tilled. A blue sky with a cloud hovers above him.

OSU professor says changing tariffs means more uncertainty for farmers

Brownfield Ag News, March 9, 2026

Sunderesh Heragu with OSU’s Institute of Industrial and Systems Engineers tells Brownfield U.S. ag exports are north of 175 billion dollars but margins are tight and farmers are hesitating to invest in their operations. “Farmers are not willing to put a lot of capital in at this point because they want to adopt a wait-and-see approach, of course, they’ve been doing this for the past year, almost.”

Green cranes and green and orange metal constructs take up the center of the composition, framed by a blue sky above and shipping crates below.

Tariff Whiplash and Trade Flow Volatility: What Shippers Should Expect Next

Parcel magazine, March 4, 2026

There is much uncertainty with respect to global trade. While geopolitical factors, war, weather, and demographic shifts have an impact, the factor with the largest near-term and possibly long-term impact is the uncertainty caused by unilateral trade conditions imposed by the US since April 2025. Since then, trade policy has shifted rapidly. Most recently – on February 20, 2206 – the U.S. Supreme Court struck down most of the Trump administration’s tariffs. The administration swiftly announced a new set of tariffs under a new law provision and set it at 10% across the board with all countries. A day or so later, the administration raised it from 10% to 15%.

A desert backdrop with a giant fire and billowing black smoke in the back.

Detroit automakers brace for ripple effects from U.S.-Iran war strikes

Detroit Free Press, March 3, 2026

Detroit automakers are monitoring the conflict in Iran for potential impacts on Middle East operations and U.S. vehicle sales. Analysts predict a prolonged conflict could disrupt oil supplies and cause gasoline prices to soar, potentially increasing demand for electric vehicles. The primary threat to automakers is not direct sales in Iran, but potential supply chain disruptions and rising oil prices. INFORMS member Sunderesh Heragu lends his voice to the article.

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Want to Improve Worker Performance With AI? Start by Helping Staff Understand Their Own Strengths and Weaknesses

News Release, March 3, 2026

Managers looking to improve worker performance are increasingly turning to AI tools to boost productivity and decision quality. But new research published in the INFORMS journal Management Science suggests technology alone won’t determine results. The biggest gains come when workers understand their own strengths and limitations, which helps them know when to rely on AI.

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