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

AI-Powered Tech Supercharges Ocean Cleanup, Boosting Plastic Collection by 60%
News Release

BALTIMORE, MD, April 23, 2025 – As plastic pollution in the world’s oceans reaches critical levels, groundbreaking new research reveals how artificial intelligence-driven algorithms can dramatically accelerate plastic waste removal – boosting efficiency by more than 60%.

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China’s rare earth minerals power the modern world. Banning their export could destroy it
Media Coverage

Beijing has a virtual monopoly on rare earth minerals—the materials that power everything from military planes to your electric toothbrush.

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Trump’s tech tariff confusion
Media Coverage
The Trump administration’s back-and-forth moves on tariffs for technology products are stirring confusion in a sector heavily reliant on global supply chains.  
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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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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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