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.
Drugs being explicitly developed to treat rare diseases are getting more expensive.
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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The disruption may cause price hikes, hurting the US economy in the near future, a supply chain expert warns.
BALTIMORE, MD, December 21, 2023 –
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.
At the height of the COVID-19 pandemic, supply chains became mainstream news when the Suez Canal was blocked by the Ever Given, and ports were clogged with countless vessels waiting to dock, resulting in the idling of 10% of the world’s container capacity. While most disruptions have dissipated, continued challenges led to the White House giving supply chains another bump in the news cycle with its inaugural meeting of the Council on Supply Chain Resilience.
From cancer care to communications, here’s where AI moved the needle in health care
As the FDA looks at whether a recent case of lead contamination in applesauce was economically motivated, a UCLA supply chain expert explains how to deter such suppliers.
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