We've just completed a short, 10 day sprint to prototype a brand new criminal intelligence and analytics application for a US based law enforcement agency. Together we wanted to see how search could assist with criminal profiling, identification and trend spotting.
The prototype is based on Twigkit's SIA (Secure Intelligence and Analytics) stack, and uses Open Source data supplied by the Dallas Police Department. Here's how we got on.
Our prototype brings together data from many different locations for the first time, but essentially consists of information about
(victims, witnesses, police officers, reporters, suspects and perpetrators),
(incident locations, addresses of individuals) and
We wanted to go a little deeper than a traditional, text and facet led search application. Such applications are valuable, but can lack the contextualising layer of insight which is so critical to effective law enforcement. We wanted our tool to seek out and present that context to officers - both in the field and in the office (so our prototype needed to work perfectly on mobile as well as desktop).
The prototype that we built over the course of the sprint is exactly that: a prototype. It isn’t fully featured or deployment ready (we didn’t quite get around to delivering the big red ‘Whodunnit’ button), but we hope that by showing how far we got you’ll see how quickly Twigkit applications can come together, and how our technology can help make a positive difference to something as important as crime prevention.
Please note: We take data protection seriously. All information shown in screen grabs has been anonymised. The data used for the purpose of the prototype is open source, and taken from www.dallasopendata.com.