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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INFORMS in the News

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When it’s smart to copy your competitor’s brand promise

When it’s smart to copy your competitor’s brand promise

Harvard Business Review, March 23, 2017

Marketers know they should keep their messages simple if they want to cut through the noise and reach customers. The key question is then: Of your product’s attributes, which one should you focus on? New research in the INFORMS journal of Marketing Science suggests that companies may want to emphasize the same attribute that their rivals do.

Disney’s deep dive on personality research, and its potential implications for brand marketers

Disney’s deep dive on personality research, and its potential implications for brand marketers

Street Fight, April 12, 2017

A few of Mickey Mouse’s pals within a division of The Walt Disney Company have been working on a method to better target marketing by learning more about consumers’ personalities. Research scientist Maarten Bos has worked on ways to better understand audience personality and how ads can be tailored to them based on the images used, a topic he presented on at the recent 2017 INFORMS Business Analytics Conference.

Can tailoring ads help brands increase customer loyalty?

Can tailoring ads help brands increase customer loyalty?

Loyalty 360, April 11, 2017

Maarten Bos, a research scientist at Disney Research, helped conducted studies - which were the topic of his presentation at the 2017 INFORMS Business Analytics Conference - about tailoring ads that are both appealing and effective. Personality types vary, which suggests that tailored advertisements may be appealing and effective. In a series of studies, Bos helped investigated both the image preferences of individuals as well as responses to a personality questionnaire.

Nor1 to introduce innovative machine learning pricing methodology at INFORMS 2017 Business Analytics Conference

Nor1 to introduce innovative machine learning pricing methodology at INFORMS 2017 Business Analytics Conference

Hospitality Net, March 23, 2017

Nor1's Vice President, Technology, Kirby Bosch and Senior Vice President, Global Gaming, Pavan Kapur will illustrate this leading-edge approach during their presentation "Practical Approaches Using Customer Web Behavior to Maximize Hospitality and Gaming Revenue"  at the INFORMS 2017 Business Analytics Conference, Caesars Palace, Las Vegas. This informative session will focus on the business opportunity for individualized pricing as well as the technology stack needed to put the practice into production. It will also highlight the use of machine learning algorithms to calculate consumer price elasticity in real time to boost hotel room revenue.

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