Crowdsourced Incident Detection
Detecting emergencies from noisy crowdsourced reports, from Bayesian fusion to practitioner-centric multi-objective models and the tool that puts them in responders’ hands.
- 2020
Emergency Incident Detection from Crowdsourced Waze Data Using Bayesian Information Fusion
Bayesian fusion of noisy Waze reports detects crashes ~5.9 min before official records
IEEE/WIC/ACM WI-IAT · First author - 2021
Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services
CNN + Pareto optimization trades F1 vs. localization; F1 41 vs 0.6, ~40% crashes caught early
IEEE ICDM · First author - 2024
Designing a Human-Centered AI Tool for Proactive Incident Detection Using Crowdsourced Data Sources to Support Emergency Response
Interactive tool for practitioners to pick Pareto-optimal crash detectors; CNN 2× KNN F1
ACM DGOV · First author