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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In June 2019, then-presidential candidate Joe Biden tweeted: “Trump doesn’t get the basics. He thinks his tariffs are being paid by China. Any freshman econ student could tell you that the American people are paying his tariffs.”
In June 2019, then-presidential candidate Joe Biden tweeted: “Trump doesn’t get the basics. He thinks his tariffs are being paid by China. Any freshman econ student could tell you that the American people are paying his tariffs.”
In the current era of artificial intelligence (AI) reshaping industries worldwide, integrating AI in healthcare, public policy, and business is paramount. Dr. Soroush Saghafian, the visionary founder and director of the Public Impact Analytics Science Lab (PIAS-Lab) at Harvard, is a key figure at this intersection. His pioneering work as a Harvard professor involves developing, integrating, and using appropriate analytical tools in operations research, management science, machine learning and big data, decision-making, statistics, AI, and related fields has profoundly impacted societal outcomes.
Large language models (LLMs) have brought about advances in artificial intelligence that few researchers thought possible before, at least so soon. ChatGPT set records for its fastest-growing user base in internet history a mere two months after its release to the public. Now there’s frequent talk about the inevitability of artificial general intelligence, where machines have the same types of abilities as humans. Before we get too excited though, we must be mindful of both what LLMs can’t do and what they do that is undesirable.
BALTIMORE, MD, May 29, 2024 –
EDITOR’S NOTE: Decision Science Digest is a periodic communique highlighting recent peer-reviewed research published by INFORMS, the largest association for the decision and data sciences, across its 17 journals. This issue highlights four press releases based on the findings of new peer-reviewed articles.
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