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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The secret indicator of a bad CEO: His golf game

The Fiscal Times, August 8, 2016

Any investor wants an edge — knowledge about how a specific company will do. Insider trading could leave you confined in jail. Instead, take a walk out to the golf course. According to a recent report in the [INFORMS] journal Management Science, when the CEO plays too many rounds, corporate performance drops. 

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. 

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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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