The New York City’s controversial “stop and frisk” program is the subject of a new visualization in Brooklyn-focused news site BKLYNR. “All the Stops,” which breaks down suspects by race, nature of the investigation and outcome, paints a stark picture of the program; in 2012, 53% of people stopped were black, and only 0.5% of those stops resulted in an arrest. The visualization was created by BKLYNR co-founder Thomas Rhiel from an open database that is populated by the reports officers fill out following every stop.
A Visual Guide to ‘Stop and Frisk’
Travis Korte is a research analyst at the Center for Data Innovation specializing in data science applications and open data. He has a background in journalism, computer science and statistics. Prior to joining the Center for Data Innovation, he launched the Science vertical of The Huffington Post and served as its Associate Editor, covering a wide range of science and technology topics. He has worked on data science projects with HuffPost and other organizations. Before this, he graduated with highest honors from the University of California, Berkeley, having studied critical theory and completed coursework in computer science and economics. His research interests are in computational social science and using data to engage with complex social systems. You can follow him on Twitter @traviskorte.
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