News Room

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

AI Traffic Enforcement Minimizes Crashes Without Shifting Risk, Study Finds
News Release

BALTIMORE, MD, May 20, 2025 – As cities worldwide seek effective strategies to address rising traffic fatalities, a new study published in the INFORMS journal Management Science reveals AI-powered traffic cameras offer a breakthrough solution – not only catching violations, but meaningfully improving overall road safety. 

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Why Congress May Push Back on State AI Regulations
Media Coverage

House Republicans proposed a 10-year pause on state rules for artificial intelligence. What that could mean for consumer protections.

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Has flying become more dangerous? We speak to a Professor of statistics and a Director of aerospace engineering
Media Coverage

From the Jeju Airline tragedy to the Washington DC plane and helicopter collision, it makes you wonder whether flight safety standards have dropped.

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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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INFORMS in the News

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Machines know when someone’s about to attempt suicide. How should we use that information?

Machines know when someone’s about to attempt suicide. How should we use that information?

Quartz, September 5, 2018

A patient goes into the emergency room for a broken toe, is given a series of standardized tests, has their data fed into an algorithm, and—though they haven’t mentioned feeling depressed or having any suicidal thoughts—the machine identifies them as at high risk of suicide in the next week. Though the patient didn’t ask for help, medical professionals must now broach the subject of suicide and find some way of intervening. This scenario, where an actionable diagnosis comes not from a doctor’s evaluation or family member’s concern, but an algorithm, is an imminent reality.

Innovative kidney matching process can improve success rates of kidney transplants

Innovative kidney matching process can improve success rates of kidney transplants

News Medical, September 6, 2018

A new study has sought to address the challenges of the kidney exchange program and introduced the concept of "failure-aware" algorithmic matching to improve success rates. The study, "Failure-Aware Kidney Exchange," was conducted by John Dickerson of the University of Maryland, and Ariel Procaccia and Tuomas Sandholm of Carnegie Mellon University, and published in the INFORMS journal Management Science.

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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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