In the run-up to the 2026 midterm elections, the political parties in many states are working to redefine their congressional district maps to gain every possible edge. From California and Texas to Tennessee and Virginia, redistricting efforts have taken center stage. The Supreme Court has sanctioned partisan gerrymandering, and the system has evolved to one in which state legislature majorities get to determine who is most likely to fill those seats in Congress.
In short, gerrymandering has become a central feature of the system, not a bug. But what if we rethink the structure entirely?
For years, remote work has been viewed as one of the most important drivers of employee satisfaction. New research suggests that assumption may be giving remote work too much credit.
A study published in the INFORMS journal Management Science found that while remote employees often report higher job satisfaction, much of that advantage disappears when researchers account for factors such as workplace culture, trust in management, communication and opportunities for professional development.
A new study from INFORMS suggests warehouse robots perform better when they work together instead of operating independently.
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For years, social media platforms have wrestled with how to curb misinformation without inflaming debates over censorship. New research from INFORMS members suggests the answer may be hiding in plain sight: let the crowd speak and let transparency do the rest.
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.
A federal consumer protection law fundamentally changed how Americans review businesses online. After the Consumer Review Fairness Act took effect, online reviews became more negative, more detailed and more informative, suggesting that previously suppressed criticism finally surfaced.
New research published in the INFORMS journal Operations Research shows that healthcare systems can substantially reduce overtime, idle time and overall staffing costs by adopting a multilocation, dynamic staff-planning model for anesthesiologists. The study is based on the University of Pittsburgh Medical Center (UPMC), which cut daily overtime and idle time across 11 hospitals, generating over $800,000 in annual cost savings.
Conventional wisdom is that waiting in a queue online or in a physical line involves a certain cost for people and organizations. Rational analysis has largely based its queue management predictions on remaining wait time, or how long someone has left to wait. Much of the planning around the design of queues is based on this factor. New research examines other parameters that can play important roles in determining the “cost of queuing.”
OR/MS Today is the INFORMS member magazine that shares the latest research and best practices in operations research, analytics and the management sciences.
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Analytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.
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