{"id":643413,"date":"2013-02-21T18:36:28","date_gmt":"2013-02-21T23:36:28","guid":{"rendered":"http:\/\/gigaom.com\/?p=612917"},"modified":"2013-02-21T18:36:28","modified_gmt":"2013-02-21T23:36:28","slug":"new-crime-prediction-research-highlights-the-promise-of-big-data","status":"publish","type":"post","link":"https:\/\/mereja.media\/index\/643413","title":{"rendered":"New crime-prediction research highlights the promise of big data"},"content":{"rendered":"

I\u2019m taking a break from writing about the nitty gritty of Hadoop<\/a> to highlight yet another promising use case for big data \u2014 fighting crime. A new study by University of Michigan researchers details a method for using \u2014 according to a university press release<\/a> \u2014 \u201chigh-powered computers and loads of data\u201d to help police target neighborhoods most susceptible to high crime rates.<\/p>\n

However, it\u2019s not the idea of using data to predict or even solve crime that excites me. We\u2019ve seen those ideas floated before by IBM<\/a> and even other researchers<\/a>, and some police departments are already using them<\/a>. Rather, I\u2019m intrigued by the possibility that this new research could actually help prevent <\/em>crime by uncovering causes of crime that might have been ignored previously or were just too latent to actually take into account.<\/p>\n

\"Source:<\/p>\n

Source: University of Michigan<\/p>\n<\/div>\n

The researchers used myriad data sources \u2014 everything from demographic data to drug offenses to the types of alcohol served nearby \u2014 in order to create a crime heatmap of Boston. They even considered how the attributes of adjacent neighborhoods affect can affect crime rates in their neighbors. As they add in more data, the researchers think they\u2019ll be able to get a better idea of how those additional variables affect crime rates.<\/p>\n

The results, at least as described in the press release (the full paper is available for purchase<\/a>), are somewhat revelatory, but you can read them yourself.<\/p>\n

The bigger picture is one I outlined recently while discussing the promise of big data with regard to gun violence<\/a>. When we get creative and use the countless data sources now available to us, combined with unprecedented computing capabilities, we can start to analyze things in new ways and see relationships we might not have seen before. In the case of crime broadly or gun crime specifically, there might be geographic, socio-economic or public policy factors that could help governments fight the disease rather than just the symptoms.<\/p>\n

\"Structure:Data:<\/a>Of course, the areas that stand to benefit from big data techniques go far beyond crime. Among the ones we\u2019ll cover at Structure: Data<\/a> (March 20-21 in New York) alone are health care, medical research, personal finance, national security and commerce. The way I see it, the technology keeps improving and the data keeps proliferating, so it\u2019s up to us to figure out how to use them to solve some of our thorniest business and social problems.<\/p>\n

Feature image courtesy of Shutterstock user J.D.S.<\/a><\/em><\/p>\n

\"\"<\/p>\n

<\/a><\/p>\n

Related research and analysis from GigaOM Pro:<\/strong>
Subscriber content. Sign up for a free trial<\/a>.<\/p>\n