Researchers from Northwestern University and Facebook 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.
The New York Police Department (NYPD) recently unveiled a new digital tool that it says can sift through police reports to help officers spot patterns of crimes potentially committed by the same criminals.
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.
Ashley Smith
Public Affairs Coordinator
INFORMS
Catonsville, MD
[email protected]
443-757-3578
An audio journey of how data and analytics save lives, save money and solve problems.
Something remarkable is happening in Washington. Tech executives who once shunned the political spotlight now make regular pilgrimages to Capitol Hill, and artificial intelligence — a field that traces back to the 1950s — has become the talk of the town.
The company will no longer let people hang out or use its restrooms without making a purchase. It's a business move that some say could come with unintended consequences of racial bias reminiscent of an incident that thrust one Philadelphia Starbucks into the national spotlight.
Tariffs could raise the cost of medical care and prescription drugs for people in the U.S.
New findings from a team of renowned researchers calls for transparency and rigorous oversight of the U.S. Medicare Advantage (MA) program, the United States' largest healthcare capitation program.
A groundbreaking new study in the INFORMS journal Transportation Science reveals the severe and far-reaching consequences of Russia’s full-scale invasion of Ukraine on global food security. The research highlights an urgent need to address disruptions in the transportation of Ukrainian grains, which have caused dramatic price spikes and worsened food insecurity worldwide, particularly in vulnerable regions such as the Middle East and North Africa.
Dockworkers on the East and Gulf coasts could go on strike again in less than two weeks if they don’t reach a contract agreement with ports and shippers. Talks are set to resume next week, according to Bloomberg. The main sticking point between the two sides? Automation.
Billionaire investor Mark Cuban's question to Representative Matt Gaetz, a Florida Republican, on energy costs took off on social media on Saturday.
Florida lawmakers have banned wind turbines off its shores and near the coast, saying the bill is meant to protect wildlife and prevent noise.