The result is an 8 percent decline in thefts in the first nine months of 2013.
[...]
"This is the wave of the future," he said. "It is my hope this relationship with Dr. Parker will continue throughout my tenure with this department, not only on this project, but with others as well."
Parker began working with the Indio Police Department in 2010 to determine if a computer model could predict by census block group — the smallest geographic unit the Census Bureau uses — where burglaries were most likely to occur.
"Thefts overall had been rising, and I was concerned that we were on a course to exceed last year," Twiss said.
Using crime data and truancy records — truants account for a significant number of daytime burglaries — Parker discovered patterns of crime over time and space. Most computer models account for changes over time or a variety of places, but not both.
"This is still cutting-edge and experimental," Parker explained. "Big data gives you statistical power to make these kinds of predictions. It makes it possible for us to anticipate crime patterns, especially hot spots of crime, which allows law enforcement agencies to engage in targeted prevention activities that could disrupt the cause of crime before the crime happens." (emphasis added)