The finalists for the 2026 Franz Edelman Award innovate in supply-chain replenishment, food distribution, cloud fulfillment and carbon-aware high-performance computing.
AI technologies (or computer programs in general) automating price setting is, on the face of it, a straightforward application of the laws of demand and supply to the context of digital platforms. However, the potential for algorithmic collusion and antitrust implications are far from straightforward.
Zachary Collier, Assistant Professor of Management at Radford University, joins Shaye Ganam to talk about EVs in Canada and the inherent cybersecurity risk in operating them.
An audio journey of how data and analytics save lives, save money and solve problems.
Jeff Cohen
Chief Strategy Officer
INFORMS
Catonsville, MD
[email protected]
443-757-3565
Explore our resources for multiple topics including:
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.
OR/MS Today is the INFORMS member magazine that shares the latest research and best practices in operations research, analytics and the management sciences.
Access OR/MS Today Magazine
Analytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.
Access Analytics Magazine