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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Two marketing researchers produced a study that reveals that a consumer’s decision on how much to buy in each shopping trip depends on their current inventory and what they expect prices to look like in the near future.
Univ. of Illinois computer science professor Sheldon Jacobson discusses aviation security in the midst of the pandemic.
The rapid spread of the Covid-19 virus is already having a huge impact on the global economy, which is rippling around the world via the long supply chains of major industries.
We live in a time of unprecedented access to information. And in this era of sheltering-in-place around the nation and the globe, the desire for news may be higher than ever—at least for some people. But do we really want all this information, all the time? Some may indeed prefer to think happier thoughts and maintain an (overly) optimistic outlook about the health threat we face. On the other hand, others may prefer not to know what the swings in the market are doing to their retirement savings.
Social distancing is working, but timing and discipline are everything. Those are the takeaways of new research emerging into the effectiveness of mitigation measures aimed at the spreading novel coronavirus that demonstrates communities that acted more quickly and aggressively had better results than those that implemented partial, or gradual measures.
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