News Room

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

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

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An illustration of people in an art gallery. Cartoon characters visit contemporary paintings and sculptures.
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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A cargo ship with colorful boxes sails from the bottom to the top of the photo. The sea around it is a cerulean blue and there are clouds obscuring the ship slightly from below.
Media Coverage

'Ghost ships' are vessels that disappear from public tracking systems, their location manipulated or their digital record misleading. An estimated 65% of outbound tankers crossing the Strait of Hormuz operate in dark mode, reducing visibility and increasing supply chain uncertainty. Misinformation in vessel tracking can cause manufacturing delays, compliance risks and financial losses. Layered verification processes, combining AIS data with other sources and escalation triggers for handling uncertain shipments, can help mitigate risk.

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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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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.

Bracketology isn't just for March Madness. It can save lives, save money and solve problems

Bracketology isn't just for March Madness. It can save lives, save money and solve problems

Fox News, March 17, 2019

In a new editorial, Sheldon Jacobson, INFORMS member and professor at the University of Illinois at Urbana-Champaign, discusses how the sophisticated mathematical modeling that is used to increase the odds of having a perfect – or even good – basketball bracket is the same technique used to solve the most complex challenges in both industry and government. 

Modern policing: Algorithm helps NYPD spot crime patterns

Modern policing: Algorithm helps NYPD spot crime patterns

AP News, March 10, 2019

When a syringe-wielding drill thief tried sticking up a Home Depot near Yankee Stadium, police figured out quickly that the crime seemed familiar, and matched it to an identical crime that occurred miles away in Manhattan. The match, though, wasn’t made by an officer looking through files. It was done using Patternizr, pattern-recognition computer software developed by the New York Police Department that allows crime analysts stationed in each of the department’s 77 precincts to compare robberies, larcenies and thefts to hundreds of thousands of crimes logged in the NYPD’s database, transforming their hunt for crime patterns with the click of a button.

New study carefully explores the challenges and current concepts in measuring the success of online advertising

New study carefully explores the challenges and current concepts in measuring the success of online advertising

Graphic Arts Magazine, March 7, 2019

A comprehensive new research study from the INFORMS journal Marketing Science identifies challenges for current measurement practices for online advertising, while calling for better ways to address so-called “unobservable” factors. The key takeaway, according to its authors, is that current “observational” approaches to digital advertising measurement may not be as effective as large-scale randomized control trials.

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INFORMS Magazines

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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