News Room

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

AI Thinks Like Us – Flaws and All: New Study Finds ChatGPT Mirrors Human Decision Biases in Half the Tests
News Release

BALTIMORE, MD, April 1, 2025 – Can we really trust AI to make better decisions than humans? A new study says … not always. Researchers have discovered that OpenAI’s ChatGPT, one of the most advanced and popular AI models, makes the same kinds of decision-making mistakes as humans in some situations – showing biases like overconfidence of hot-hand (gambler’s) fallacy – yet acting inhuman in others (e.g., not suffering from base-rate neglect or sunk cost fallacies).

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In 2025, you can’t have an effective democracy without data literacy
Media Coverage

You are swimming in an ocean of data and don’t even realize it. All around you are invisible amounts of data that would be staggering to try to comprehend. Thousands of smartphones and smart devices are talking to, sending and downloading vast amounts of data, video, audio, words, numbers, images, you name it. Everything from the latest movie on Netflix to someone’s radiology results from a cancer screening.

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Shell Shocked: How Small Eateries Are Dealing With Record Egg Prices
Media Coverage

Mom-and-pop businesses are trying to adapt to the soaring cost of eggs. The owners of four egg-centric restaurants across the country show how they are coping with this threat to their livelihoods.

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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. 

Understanding sports analytics

Insights Weekly, June 30, 2016

An article in the June issue of OR/MS Today, by [INFORMS members] Gary Cokins, Walt DeGrange, Stephen Chambal and Russell Walker, was highlighted for demonstrating that sports analytics can be more easily understood by applying classification techniques. This includes analytics for major league players and managers, as well as individual and amateur sports, and franchise and venue management.

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