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

Can Police Be Trained to Be Fairer? A Groundbreaking Study Says Yes
News Release

BALTIMORE, MD, May 19, 2025 – Can a few days of training transform how police interact with communities? A new study in the INFORMS journal Management Science says yes – and the results could reshape law enforcement training around the globe.

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Why Congress May Push Back on State AI Regulations
Media Coverage

House Republicans proposed a 10-year pause on state rules for artificial intelligence. What that could mean for consumer protections.

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Has flying become more dangerous? We speak to a Professor of statistics and a Director of aerospace engineering
Media Coverage

From the Jeju Airline tragedy to the Washington DC plane and helicopter collision, it makes you wonder whether flight safety standards have dropped.

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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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Decision Science Digest: September 30, 2024

Decision Science Digest: September 30, 2024

News Release, September 30, 2024

BALTIMORE, MD, September 30, 2024 –

EDITOR’S NOTE: Decision Science Digest is a periodic communique highlighting recent peer-reviewed research published by INFORMS, the largest association for the decision and data sciences, across its 17 journals. This issue highlights four press releases based on the findings of new peer-reviewed articles.

  • Focusing on the Family: A Breakthrough in Genetic Testing that Provides Health Information to Everyone, Not Just One Person (INFORMS journal Manufacturing & Service Operations Management)
  • Utilizing Drones to Save Lives and Fight the Opioid Epidemic: New Model Can Save up to 33 Lives per Year (INFORMS journal Operations Research)
  • Generative AI Interprets Reactions to Polarizing Content: Social Media vs. Email (INFORMS journal Management Science)
  • Identifying Depression and Preventing Suicide: New Model Utilizes Social Media Data to Save Lives (INFORMS journal Information Systems Research)

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