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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The Biden administration’s response has made key mistakes in handling the emerging threat. We hope this situation serves as a wake-up call to rethink and re-tool emergency response policies and practices.
In the middle of the ongoing coronavirus pandemic, we're facing a second global, viral crisis: monkeypox.
If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes? In times that continue to defy our ability to predict them, the words of famous statistician George Box have never been more right: “All models are wrong, but some are useful.” So what can we do to make models more useful? Artificial intelligence and machine learning (AI/ML) can improve forecast accuracy, but a bigger problem is the failure to set accurate expectations around forecasting models, not the accuracy of the models themselves. For supply chains to get more use from their models, we need to “trust the box;” recognize that models are not the holy grail; and remember that a forecast is an input into making better decisions, not an end in and of itself.
It seems like we’re waiting now more than ever. The COVID-19 pandemic, which we were initially told would take just a few weeks to get under control, is now in its third year. Getting back to life as we knew it was more challenging than expected. Supply chain issues have extended lead times and severely disrupted operations across vital industries, including retail, travel, and healthcare.
In late July, South Korean electronics giant Samsung revealed plans to construct 11 new semiconductor manufacturing plants in Texas. This development is good news for America on a number of levels and represents a nearly $200 billion investment in U.S.-based chip manufacturing.
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