News Room

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

New Research Showcases Pivotal Shift Toward Energy Democracy
News Release

BALTIMORE, MD, November 12, 2024 – New research in the INFORMS journal Manufacturing & Service Operations Management is guiding the development of more inclusive and efficient electricity markets. The work demonstrates how aggregating small-scale, distributed energy resources (DERs) like solar panels can effectively balance the power of large utility companies.

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Why Santa Claus Does Best When he Overestimates Demand
Media Coverage

During the holiday season, a late delivery can sometimes feel like the end of the world. You’ve been there: you order a highly anticipated gadget, new clothes, or a last-minute gift, only to find out that your delivery is delayed. While many blame shipping companies or delivery drivers, the true culprit often lies deeper in the supply chain — at the heart of it all: forecasting.

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Will AI Reboot Supply Chains?
Media Coverage

Catastrophic weather events, wars in Ukraine and the Middle East, trade conflicts, global pandemics—the forces disrupting supply chains are multiplying at a rate few could have anticipated.

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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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Ashley Smith
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INFORMS
Catonsville, MD
[email protected]
443-757-3578

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Tweets better than Google Trends at forecasting TV program ratings

Tweets better than Google Trends at forecasting TV program ratings

News Release, August 1, 2016

CATONSVILLE, MD, August 1, 2016 – How well does the emotional and instantaneous content in tweets perform relative to the more deliberate searches recorded in Google Trends in forecasting future TV ratings? In a massive big data analysis using data from Twitter, Google Trends and other widely used websites for entertainment information, a forthcoming article in the INFORMS journal Marketing Science finds that mining Twitter content is significantly more effective than Google Trends in its ability to predict future TV ratings. 

Employing the traveling salesman problem to optimize Pokémon Go

University of Waterloo, Faculty of Mathematics, The Traveling Salesman Problem, July 13, 2016

With the location-based augmented reality game Pokémon Go exploding in popularity, [INFORMS Fellow] William Cook, professor at the University of Waterloo, applies the traveling salesman problem to create the most efficient routes in several U.S. cities and universities for Pokémon players to reach all the game stops in that area. 

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