"Patrol officers are assigned to sit in computer-generated boxes produced by predictive policing software..."
This is very misleading. Refer to my explanation above about how the Koper Curve Principal is applied.
"In response to a public records request for contracts between L.A. and PredPol, the LAPD says no such agreements exist."
Perhaps the LAPD is being disingenuous if not outright just lying about this. In the previously mentioned video (http://vimeo.com/50315082) Mohler describes how the 6 month study couldn't have gone on longer because it required the LAPD crime analysts to generate a hot spot map on a daily basis rather than the usual weekly report. This was, apparently, much more time consuming that it took PredPol's software to generate daily prediction boxes based on the same data.
"...'In L.A. I heard that many officers were only patrolling the red boxes, not other areas,' says Merritt."
This doesn't make sense. Using the Koper Curve a single patrol can cover 8 different prediction boxes within a shift. The Foothill Division was generating only 20 prediction boxes total. 3 separate patrols that were dedicated to only these red boxes, could handle all of them. Even if the patrols spent 16 minutes per box that would mean they could each cover 6 per shift. Doesn't a division the size of S.F. have more than 3 or 4 patrols out per shift? What that may mean is that the LAPD was not implementing predictive policing correctly.
"Crockford believes that relying on for-profit companies to deliver effective crime-fighting solutions poses serious risks. 'There's a danger in overlap of the private sector and public sector. Policing shouldn't be influenced by corporate interests that profit from Big Data and that have an obvious interest in promoting these new technologies.'"
Crockford brings up an important consideration, but it is a general consideration and I don't believe there should be any concern here. Predictive policing doesn't require a police department to, somehow, put all its eggs in one basket. It is only a tool that will influence the placement of patrol time that already must take a back seat to responding to calls. What does concern me is the price that PredPol is charging. Not only is it high but it is recurring year to year because they are using a Software As a Service (SAAS) business model. There is, as far as I can see, no intellectual property in question. The equations the algorithm is based on are public and easily implemented in software. The tie in to GIS to generate maps is now commonplace. This field is ripe for competition and that should drive the price way way down. There is no valid reason, other than profit, this has to be a SAAS application. The software can be sold as a package and run on the police department's own computers. There needn't be an ongoing contractual relationship with a private company. A final point about Crockford's comment. Predictive Policing does not use or require "Big Data". The number of data points needed per type of crime is on the order of 1200-2000. It seems that the phrase "Big Data" is in vogue in the media and is used outside of situations where it is applicable. This is one of them.