Analyse de l'application Street Sentinel pour le 12 janvier

Street Sentinel is a NSF-funded project that uses off-the-shelf hardware and custom deep learning algorithms to recognize gunshots in real-time, including where and when they occur. Community intervention workers control the placement of detectors in the community and use a smartphone-based alert system, developed by the research team, to support their violence prevention efforts. Current evidence suggests that community intervention workers can stop violent retaliations if they are able to respond quickly when violence occurs. This mobile app therefore allows the research team uses controlled experiments and causal inference methods to assess the impact of the gunshot detection network on community-led violence prevention.