News Room

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

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Media Coverage

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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In the foreground on a table is an analog alarm clock. A young woman places her hand on the top, as if to silence it. She is in bed behind the clock, eyes closed, wearing a bright marigold shirt. Her bedding is grey.
Media Coverage

American teenagers start their school day too early.

Medical experts have been clear for years: sleep cycle changes during puberty make it hard for teenagers to learn in the early morning. Later school start times have been linked to better sleep, improved mental health, stronger academic performance and even safer driving.

Most school district leaders know about this problem and care about fixing it. But changing the schedule can feel operationally impossible.

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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
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INFORMS
Catonsville, MD
[email protected]
443-757-3565

INFORMS in the News

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Using Twitter to predict TV program ratings

Science Newsline, August 2, 2016

INFORMS members Professor Xiao Liu of New York University and Professors Param Vir Singh and Kannan Srinivasan of Carnegie Mellon University conducted a study on which digital platforms are the most effective at gauging the success of a TV program. The study, which will be published in the INFORMS journal Marketing Science, found that Twitter is significantly more effective than other platforms, including Google Trends, Wikipedia, IMDB, and the Huffington Post, at predicting TV ratings.

Clarkson University recognized by INFORMS Rothkopf Rankings

North Country Now, August 6, 2016

The “Rothkopf Rankings,” published in May 2016 in the INFORMS journal Interfaces, recognized Clarkson University as a top U.S. school for contributions to operations research practice literature. 

Maximizing 2016 Olympics’ coverage

The New York Times, August 18, 2016

Press covering the Olympic Games in Rio this summer faced multiple challenges in their efforts to attend as many events as possible, including event timing and location, weather, and travel logistics. Carnegie Mellon professor and INFORMS member Michael Trick helps a New York Times reporter create a plan to approach his coverage of the 2016 games.

Why we ignore security alerts

Naked Security, August 19, 2016

Naked Security, the online news room for data security company Sophos, highlighted an article in the INFORMS journal, Information Systems Research, addressing the effectiveness of system-generated computer security warnings. As much as 87% of these warnings are simply ignored, due to a combination of badly timed interruptions and our inability to multitask.  

Using analytics to predict the 2016 elections

Fox Illinois, August 19, 2016

Starting with the 2000 presidential elections, INFORMS member Sheldon Jacobson, professor with the University of Illinois, and a team of fellow researchers and students, have used a combination of poll numbers, algorithms, and analysis to make a state-by-state assessment of who is most likely to be elected in the upcoming presidential and senate elections.

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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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