Publisher: Decibel (Austin PBS)
Date Published: July 2, 2026
Relevant To: Privacy-by-design alternative to commercial gunshot detection (ShotSpotter/SoundThinking); community-controlled model
Verification Status: Verified
Notes: Confirmed via full-text fetch. Austin PBS/Decibel profile of a community-built, privacy-preserving gunshot detection system in the Rundberg neighborhood (North Austin), developed by Vanderbilt University researchers (lead: Will Hedgecock) with the North Austin Civic Association (treasurer Brian La Cour) on a shoestring ~$10,000 annual budget. Devices use microphones, GPS, and a cellular modem to detect and geolocate “impulsive events,” with AI trained to distinguish gunshots from car backfires; alerts (including a 3-second audio clip for user verification) go out via a mobile app called CivicAlert. KEY DESIGN CHOICE relevant to BPA: the system deliberately does NOT integrate with police computer-aided dispatch (CAD) systems — both the researchers and Austin PD agreed on this — unlike commercial gunshot-detection systems (e.g. ShotSpotter/SoundThinking) that typically feed directly into police response systems. Users decide individually whether to call police, using a provided script designed to work even for non-native English speakers and to allow anonymous reporting. Explicitly framed by La Cour as “not a device that’s going to be used for mass surveillance… we’re not keeping records of your conversations.” Context: designed with awareness that Rundberg has a large undocumented population and that Texas state law (SB 4) mandates police cooperation with ICE, which has eroded community trust and willingness to call police directly. Project funding lapses August 2026; organizers seeking extension. Strong positive/model example for BPA’s advocacy toolkit — shows a privacy-by-design alternative to vendor-controlled acoustic surveillance systems, useful as a counterpoint when discussing ShotSpotter-style deployments.