News Room

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

Unmasking Human Trafficking: New AI Research Reveals Hidden Recruitment Networks
News Release

BALTIMORE, MD, May 24, 2025 – Most anti-human trafficking efforts focus on breaking up sex sales; however, new research in the INFORMS journal Manufacturing & Service Operations Management is turning its attention to where trafficking truly begins – recruitment. Using machine learning to analyze millions of online ads, researchers at the University of Pennsylvania have uncovered patterns that link deceptive job offers to sex trafficking networks. By mapping the connections between recruitment and sales locations, the study reveals a hidden supply chain – one that can now be exposed and interrupted earlier in the trafficking process.

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New U.S. drug prices doubled amid a shift toward treating rare diseases
Media Coverage

Drugs being explicitly developed to treat rare diseases are getting more expensive.

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Human air traffic controllers keep flyers safe. Should AI have a role?
Media Coverage

Old technology is behind the recent ongoing delays and cancellations at Newark Liberty International Airport, but newer technology will be an important part of the solution.

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

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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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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