News Room

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

New Research Shows How Inclusive Workplaces Can Empower Black Employees to Thrive
News Release

BALTIMORE, MD, February 19, 2025 – A groundbreaking study in the INFORMS journal Organization Science has revealed how workplaces can better support Black employees, ensuring they feel empowered to express their true selves. Conducted by a team of researchers from leading universities, the study highlights the transformative power of inclusive environments where authenticity and mutual understanding are valued.

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OpenAI’s New Stargate Project and China’s DeepSeek: Goliath vs. David
Media Coverage

On Jan. 21, OpenAI launched the $500 billion Stargate Project with partners like Arm, Microsoft, NVIDIA, and Oracle. This initiative aimed to secure American AI leadership, create jobs, and boost the economy. Initially, this boosted the stock prices of these companies.

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Resign or stay? Federal workers are on the clock — Here’s how decision-analysis tools can help
Media Coverage

Living in limbo: An estimated 2 million U. S. federal employees were thrust into a decision they did not seek to make. A deadline from the Trump Administration was halted last week, and is now in the hands of a judge. When a deadline is set those employees will have to make a high-stakes choice: Take a buyout and resign, or they can choose to stay in an uncertain job environment, including the possibility of being laid-off or having significant changes in work duties or leave with a buyout. This current reprieve gives these federal employees a little more time, but the fundamental question for each of them remains: What’s the right move for your career and future?

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Resoundingly Human Podcast

An audio journey of how data and analytics save lives, save money and solve problems.

Media Contact

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

INFORMS in the News

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Got junk?

Los Angeles Times, August 19, 2016

The LA Times explores garbage orbiting earth and how to clean it up, including a 2009 paper by INFORMS member Lawrence Wein and coauthor Andrew Bradley, both researchers at Stanford University.

Optimizing Monday Night Football

Science 2.0, July 26, 2016

Two INFORMS members from the University of Iowa’s Tippie College of Business, doctoral student Bhupesh Shetty and Associate Professor Jeffrey Ohlmann, in conjunction with Professor Gary Gaeth, developed an optimization model to improve Monday Night Football schedules. By analyzing every Monday night game played between 1993 and 2008, the researchers discovered three factors that have the greatest impact on generating high ratings: games played by Super Bowl champions, teams with high profile players or coaches joining the team, and teams with high-powered offenses.

Smart technology, not body cameras, leads to less lethal force by police

Security Magazine, August 1, 2016

Using data from a Washington Post comprehensive report, two INFORMS members investigated the impact of technology on police performance and practice. Professors Min-Seok Pang and Paul Pavlou, both from Temple University’s Fox School of Business, found that the use of analytics and smartphones to access intelligence led to decreased instances of lethal force by police, whereas wearable video cameras were linked to an increase in lethal force on civilians by police. 

Kuwaiti healthcare reforms maximize efficiency

Kuwait Daily News, August 1, 2016

According to Nicos Savva, INFORMS member and associate professor at the London Business School, the reforms to the Kuwaiti healthcare system outlined in the Kuwait Development Plan for 2015-2020 could result in one of the most efficient healthcare systems in the world. In particular, investments in specialization and preventative care hold the key to improving both patient outcomes and hospital productivity.

Using Twitter to predict TV program ratings

Science Newsline, August 2, 2016

INFORMS members Professor Xiao Liu of New York University and Professors Param Vir Singh and Kannan Srinivasan of Carnegie Mellon University conducted a study on which digital platforms are the most effective at gauging the success of a TV program. The study, which will be published in the INFORMS journal Marketing Science, found that Twitter is significantly more effective than other platforms, including Google Trends, Wikipedia, IMDB, and the Huffington Post, at predicting TV ratings.

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