News Room

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

Masculinity Over Money? The Hidden Barrier Keeping Men Out of Top Occupations
News Release

BALTIMORE, MD, May 15, 2025 – As automation and globalization continue reshaping the workforce, high-paying jobs in traditionally male-dominated sectors are shrinking while demand for roles in healthcare, education and other “feminine” industries surges. But despite strong salaries and job security, men remain reluctant to enter these fields. Why? Groundbreaking new research in the INFORMS journal Organization Science has the answer – and a solution.

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New Research Reveals Concealed Carry ‘Shall Issue’ Laws Increase Handgun Purchases, While ‘Permitless Carry’ Shows No Effect
News Release

BALTIMORE, MD, May 13, 2025 – Researchers who took a close look at loosened concealed carry laws between 2010 and 2017 have found that “Shall Issue” regulations, which remove local authority discretion on the issuance of concealed carry gun permits, contribute to a significant increase in handgun purchases. At the same time, the researchers found that in states that adopted “Permitless Carry” policies, there was no noticeable change in gun purchases.

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Items to Stock Up on Before Trump's Tariffs Take Effect
Media Coverage

With sweeping new tariffs on Chinese-made products set to take effect this summer, Americans are being urged to prepare for price hikes on everyday goods. President Donald Trump's reinstated trade policies are expected to affect a wide swath of consumer imports, including electronics, furniture, appliances, and baby gear. Retail experts are advising shoppers to act before the tariffs hit and prices rise.

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

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

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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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