Using big data to predict crime might be a flawed approach
Police departments across the nation are using new methods to try to predict where crime is likely to happen and who is more likely to be a victim of crime or become a criminal element. Predictive policing is already being used. There are many approaches.
It is not without its critics, for a variety of reasons.
William Isaac is a Ph.D. candidate in political science at Michigan State University and he, along with Andi Dixon, wrote an article published in The Conversation about using big-data analysis for predictive policing. The article is entitled "Why big-data analysis of police activity is inherently biased"
Isaac joined Stateside to talk about predictive policing, and if it's the right approach for law enforcement. Listen to the full interview above.