News Room

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

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Media Coverage

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?

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A woman stands in front of a standing desk, her back to the camera. She is dressed casually. She is walking on an under the desk treadmill and looks at a video conferencing call on one of her monitors. She has very long dark hair in a ponytail down her back. A tv sits in the lefthand side of the composition and there is a window in the back behind the desk.
News Release

For years, remote work has been viewed as one of the most important drivers of employee satisfaction. New research suggests that assumption may be giving remote work too much credit.

A study published in the INFORMS journal Management Science found that while remote employees often report higher job satisfaction, much of that advantage disappears when researchers account for factors such as workplace culture, trust in management, communication and opportunities for professional development.

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Media Coverage

A new study from INFORMS suggests warehouse robots perform better when they work together instead of operating independently.

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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

INFORMS in the News

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Researchers identify method to prioritize treatment strategies in hepatitis C in U.S. prison system

Researchers identify method to prioritize treatment strategies in hepatitis C in U.S. prison system

News Release, March 21, 2019

CATONSVILLE, MD, March 21, 2019 – There are currently more than three million people in the United States with hepatitis C, a condition that can lead to serious and even deadly liver complications. In the U.S. prison system, the prevalence of hepatitis C virus (HCV) infection is currently 10 times higher than the national average. And while new HCV treatment drugs are very effective, their high cost along with very limited healthcare budget in prisons impedes universal treatment in prisons. However, new research in the INFORMS journal Operations Research, has identified new protocols that could substantially decrease HCV infection in the U.S. prison system.

How measurable is online advertising?

How measurable is online advertising?

News Release, March 20, 2019

CATONSVILLE, MD, March 20, 2019 – Researchers from Northwestern University and Facebook in March published new research in the INFORMS journal Marketing Science that sheds light on whether common approaches for online advertising measurement are as reliable and accurate as the “gold standard” of large-scale, randomized experiments.

Egon Balas: 1922–2019

Egon Balas: 1922–2019

News Release, March 19, 2019

INFORMS is saddened to learn of the passing of INFORMS Fellow and esteemed member of the Carnegie Mellon University faculty, Egon Balas, who overcame an early life in the shadow of the volatile political dynamic of World War II-era Romania to become a leader in the field of operations research.

NYPD's Patternizr crime analysis tool raises AI bias concerns

NYPD's Patternizr crime analysis tool raises AI bias concerns

Search Business Analytics , March 14, 2019

The New York Police Department has touted the successful use of its homegrown crime analysis tool to identify potential criminals, but while the pattern recognition tool highlights the widespread potential for advanced analytics, it also raises questions around AI bias. Patternizr, a set of machine learning models developed in-house at the NYPD, is the first crime analysis tool of its kind to be used in law enforcement. It searches through hundreds of thousands of crimes across all 77 precincts in the department's database to find patterns.

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