BALTIMORE, MD, November 12, 2024 – New research in the INFORMS journal Manufacturing & Service Operations Management is guiding the development of more inclusive and efficient electricity markets. The work demonstrates how aggregating small-scale, distributed energy resources (DERs) like solar panels can effectively balance the power of large utility companies.
During the holiday season, a late delivery can sometimes feel like the end of the world. You’ve been there: you order a highly anticipated gadget, new clothes, or a last-minute gift, only to find out that your delivery is delayed. While many blame shipping companies or delivery drivers, the true culprit often lies deeper in the supply chain — at the heart of it all: forecasting.
Catastrophic weather events, wars in Ukraine and the Middle East, trade conflicts, global pandemics—the forces disrupting supply chains are multiplying at a rate few could have anticipated.
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A new study in the INFORMS journal Operations Research on the conflict in Syria using existing attrition models, found that certain factors were lacking, leading to the creation of a new predictive model for multilateral war, which is called the Lanchester multiduel.
Three researchers have conducted a study of war, specifically the current conflict in Syria that's been raging since 2011, to arrive at the creation of a new predictive model for multilateral war, which is called the Lanchester multiduel. The research, published in the August edition of the INFORMS journal Operations Research, is titled "The Attrition Dynamics of Multilateral War."
CATONSVILLE, MD, September 12, 2018 – New research has found a way to identify extremists, such as those associated with the terrorist group ISIS, by monitoring their social media accounts, and can identify them even before they post threatening content.
CATONSVILLE, MD, September 10, 2018 – Three researchers have conducted a study of war, specifically the current conflict in Syria that’s been raging since 2011, to arrive at the creation of a new predictive model for multilateral war, which is called the Lanchester multiduel.
A patient goes into the emergency room for a broken toe, is given a series of standardized tests, has their data fed into an algorithm, and—though they haven’t mentioned feeling depressed or having any suicidal thoughts—the machine identifies them as at high risk of suicide in the next week. Though the patient didn’t ask for help, medical professionals must now broach the subject of suicide and find some way of intervening. This scenario, where an actionable diagnosis comes not from a doctor’s evaluation or family member’s concern, but an algorithm, is an imminent reality.
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