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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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In most emergency departments, beds are a hot commodity. But some patients don’t actually need a bed for their treatment – and accurately identifying those people is a low-lift but effective way to increase efficiency without sacrificing care quality, finds a study recently published in the journal Management Science.

The researchers developed a simple decision tree, informed by mathematical and machine learning models, to help staff decide whether a patient truly needs a bed or can be routed to a “vertical processing pathway” – that is, an area where they can be treated sitting up. Many hospitals already have such an area but don’t necessarily have a systematic way to decide which patients are treated there.

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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.
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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

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Jeff Cohen
Chief Strategy Officer
INFORMS
Catonsville, MD
[email protected]
443-757-3565

INFORMS in the News

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New Research Says Millions of Dollars Saved Daily When Scheduled Travel Providers Adapt to On-Demand Service Scheduling Based on Commuter and Traff...

New Research Says Millions of Dollars Saved Daily When Scheduled Travel Providers Adapt to On-Demand Service Scheduling Based on Commuter and Traff...

News Release, July 20, 2021

CATONSVILLE, MD, July 20, 2021 – Uber and Lyft are popular on-demand ways to travel, but does that mean trains and buses are a thing of the past? Travelers prefer different modes of transportation at different times. So how can all these modes co-exist and do so successfully? New research in the INFORMS Journal Transportation Science has created a model and an algorithm to redistribute transit resources based on commuter preferences resulting in millions in savings.

How neuromarketing helps us understand post-pandemic changes in consumer behavior

How neuromarketing helps us understand post-pandemic changes in consumer behavior

ZME Science, July 12, 2021

I feel, therefore I buy. Marketers have been aware of the connection between emotional drivers and purchasing decisions for many years now, and they haven’t hesitated to use these emotional drivers to create marketing experiences — in other words, to get you to buy things. While in classic economic theory, consumers are described as rational individuals who decide whether or not to buy a product based on objective factors such as price and utility, recent research points out that most of our purchasing decisions are much less rational than we believe and much more emotional. 

Q&A: Linking Supply Chain and Public Health Data

Q&A: Linking Supply Chain and Public Health Data

Johns Hopkins University, July 7, 2021

Dr. Tinglong Dai, a professor of Operations Management and Business Analytics at the Carey School of Business, has dedicated his career to investigating the interplay between supply chains and healthcare. He says the public should not be pessimistic about the U.S. response to COVID-19 given the incredible advances with vaccine development and an unprecedented level of global data collection. 

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