News Room

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

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News Release

A new AI model predicts which short-form videos triggering suicidal thoughts in vulnerable viewers pose higher risk before they reach large audiences, which can improve user safety.

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News Release

While generative AI (GenAI) can help define viable objectives for organizational and policy decision-making, the overall quality of those objectives falls short unless humans intervene.

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News Release

A new study finds that telling consumers their returned items will be “kept out of landfills” significantly increases participation in take-back programs; telling them they may be resold? Not so much.

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Temptation Bundling at the Gym

January 4, 2016

Lack of motivation may also play a large role in the reason why 68.8 percent of Americans are overweight or obese. 

So are we all screwed? Or is there a way to keep motivation consistently flowing?

The key may be a process called “temptation bundling,” according to a study in Management Science

The process pairs two activities—one you should do, but avoid; and one you enjoy, but isn’t necessarily productive, explains lead study author Katherine Milkman, associate professor of Operations, Information, and Decisions at The Wharton School.

2016 Analytics Trends to Watch For

December 28, 2015

My view of the world is shaped by where I stand, but from this spot the future of analytics for 2016 looks pretty exciting! Analytics has never been more needed or interesting.

Healthcare Analytics Trends for the New Year

Analytics continues to bring dramatic change to the healthcare industry in the United States and other countries, offering advances and challenges for the year ahead. Following are 10 trends to chart in 2016.

How to Improve Decision Making in Supply Chains

December 23, 2015

David Simchi-Levi, MIT Professor, INFORMS Fellow and Former Editor-in-Chief of Operations Research (INFORMS Journal) 

The ability to understand a combination of historical behavior, market conditions and future needs drives decision making. New analytic capabilities that combine machine learning and optimization can take into account historical characteristics and competitor behavior to determine future demand that will allow optimization for the best results - such as profit, market share or revenue.

Examples of decisions where this approach can be used is assortment, pricing, sourcing strategies for new products, predictive maintenance using process sensors.

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Healthcare

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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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