News Room

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

Generative AI Is Upending Freelance Work – Even Top Performers Aren’t Safe
News Release

BALTIMORE, MD, March 4, 2025 – A groundbreaking study has uncovered a startling reality: generative AI tools like ChatGPT are already reshaping the freelance job market, slashing employment opportunities and pay for workers across all skill levels. Even top freelancers – those with the strongest track records – are suffering the greatest setbacks.

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The 3 biggest things to know about a potential U.S.-Ukraine minerals deal
Media Coverage

Contentious minerals deal has sparked a war of words between Trump and Zelensky, and could be announced later this week

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How tariffs can hurt American supply chains | GUEST COMMENTARY
Media Coverage

Americans have probably heard the word “tariffs” more in the past month than in the past four years — and for good reason. Tariffs are central to President Donald Trump’s economic playbook, despite opposition from mainstream economists and trade experts

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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
Public Affairs Coordinator
INFORMS
Catonsville, MD
[email protected]
443-757-3578

INFORMS in the News

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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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INFORMS Magazines

OR/MS Today is the INFORMS member magazine that shares the latest research and best practices in operations research, analytics and the management sciences.

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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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