The trouble is, that cop isn't there when a rookie patrolman tries to run a license plate from a drive-by shooting report. Or he's in a different department; criminals don't respect city limits.
"This is a super detective," says lead investigator Hsinchun Chen, founder of the University of Arizona's Artificial Intelligence Laboratory. "It knows every address, telephone number and license number in the department system, and their associations."
Launched in 1997 with a National Institute of Justice grant, COPLINK initially focused on Web-based database consolidation and warehousing for the Tucson Police Department.
"It was a leap of faith for me to get into the police domain," says Chen. "One of my students, who was a 25-year veteran in the Tucson police department, he talked me into it."
With the help of a National Science Foundation grant, Chen is exploring issues of intelligence analysis, human-computer interaction and multi-agent processing. The initial software module, called COPLINK Connectª, merges stand-alone databases, such as mugshot files, vehicle identifications and crime locations, within departments and enables information-sharing with neighboring jurisdictions. A second module, COPLINK Detectª, leverages artificial intelligence techniques to help police ferret out hidden links between people, organizations, locations, vehicles and weapons.
The system produces data in minutes in an easy-to-navigate, point-and-click display that an officer can master with minimal training. A secure intranet keeps highly sensitive and confidential intelligence away from prying eyes.
The results, according to its users, are amazing. In a preliminary test case, a federal agency asked Tucson police to help track down a homicide suspect. The feds didn't know the suspect's name; in fact, the only clue they had was a confidential informant's tip that the suspect had a sister living in Tucson who had been assaulted several years before by her boyfriend. The agency pulled the boyfriend's name from the complaint, and Tucson ran it through COPLINK. In less than a minute, the system returned the names of both the woman and her brother, the suspect.
"COPLINK allows you to define data, and see what the relationships might be," says Joseph Hindman, computer services administrator for the Phoenix Police Department. "For detectives to do that in a traditional records management system would take more time than they have."
Chen's faith in his project was renewed after the September 11 terrorist attacks, when he attended a meeting in Toronto of the International Association of Police Chiefs.
"The deputy commissioner of the New York Police Department was there, and he presented a vivid, emotional timeline of the events at the World Trade Center," says Chen, referring to the terrorist hijack attacks that destroyed the twin towers. "A lot of grown men were crying, including myselfÉThe deputy commissioner said the only way to prevent this kind of thing from happening is to share intelligence information between law enforcement agencies at different levels, local, state or federal."
COPLINK will cover police for 70 percent of Arizona's population by early 2002, but its potential is much broader, Chen says.
"L.A. and New York would be 10 or 20 times that, but our approach could apply very easily," Chen says. "Largeness is not an issue."
Some 20 to 30 agencies have approached Chen since 911 about using COPLINK in their jurisdictions, he said. He and his research team are working to extend its capacity by mining text from crime report narratives as well as the formatted data sections. Another new direction is to alert police, on their laptops, patrol car consoles, PDAs, cell phones or pagers, when new case information comes in, or a similar investigation emerges.
The Phoenix Police Department is coming on board in December; a group of suburban agencies from the surrounding valley will follow next year. In all, the system will serve law enforcement for 1. 5 million people. Hindman explains the agencies' eagerness to join the project this way:
"Historically, there's always been competitiveness between departments that made data-sharing not as prevalent as it should have been," Hindman says. "We're data rich but information poor."
Chen plans to push the crime analysis function even further, developing software to automatically warn police to watch out for a certain gang in a specific location, or even to predict new crime waves.
"It can be even more proactive, make decisions for you, but you still control it," Chen says.
Key to the program's success has been the close collaboration between police and scientists, Chen says. The Tucson department paid for a full-time officer on the COPLINK team.
"In most of the studies we have to pay the subjects or drag them in, but in our project, we even saw people bribe colleagues to get a copy" of the software, Chen says.
"They've been paying a great deal of attention to talking to detectives and getting their opinion of what type of tools they need, and that's really showing up in the software itself," Hindman says. "It's of value because they've had a hand in designing it."
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