The INFORMS Analytics+ Conference showcased how companies are turning advanced analytics and AI into measurable operational results
Museums take this educational role seriously, and many institutions understand the need to sustain and broaden their appeal. “They used to be these big ivory towers of knowledge and history and thought and art,” said Hilary Knight, director of Change& in London and former director of digital at Tate. “Museums themselves are changing their role to be centers for discussion and encounter and to be much more participatory.”
American teenagers start their school day too early.
Medical experts have been clear for years: sleep cycle changes during puberty make it hard for teenagers to learn in the early morning. Later school start times have been linked to better sleep, improved mental health, stronger academic performance and even safer driving.
Most school district leaders know about this problem and care about fixing it. But changing the schedule can feel operationally impossible.
An audio journey of how data and analytics save lives, save money and solve problems.
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CATONSVILLE, MD, March 20, 2019 – Researchers from Northwestern University and Facebook in March published new research in the INFORMS journal Marketing Science that sheds light on whether common approaches for online advertising measurement are as reliable and accurate as the “gold standard” of large-scale, randomized experiments.
INFORMS is saddened to learn of the passing of INFORMS Fellow and esteemed member of the Carnegie Mellon University faculty, Egon Balas, who overcame an early life in the shadow of the volatile political dynamic of World War II-era Romania to become a leader in the field of operations research.
The New York Police Department has touted the successful use of its homegrown crime analysis tool to identify potential criminals, but while the pattern recognition tool highlights the widespread potential for advanced analytics, it also raises questions around AI bias. Patternizr, a set of machine learning models developed in-house at the NYPD, is the first crime analysis tool of its kind to be used in law enforcement. It searches through hundreds of thousands of crimes across all 77 precincts in the department's database to find patterns.
In a new editorial, Sheldon Jacobson, INFORMS member and professor at the University of Illinois at Urbana-Champaign, discusses how the sophisticated mathematical modeling that is used to increase the odds of having a perfect – or even good – basketball bracket is the same technique used to solve the most complex challenges in both industry and government.
When a syringe-wielding drill thief tried sticking up a Home Depot near Yankee Stadium, police figured out quickly that the crime seemed familiar, and matched it to an identical crime that occurred miles away in Manhattan. The match, though, wasn’t made by an officer looking through files. It was done using Patternizr, pattern-recognition computer software developed by the New York Police Department that allows crime analysts stationed in each of the department’s 77 precincts to compare robberies, larcenies and thefts to hundreds of thousands of crimes logged in the NYPD’s database, transforming their hunt for crime patterns with the click of a button.
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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