SAFETI is the first Mason–DOLI Innovation Lab initiative that turns more than 15 years of detailed Virginia workplace-accident records into forward-looking, preventive insights. Using predictive models, the computational approach developed for SAFETI estimates the likelihood of a fatality occurring within a specific time frame and sector, along with its associated probability. This shift from reactive to preventive measures is enabled by advanced spatio-temporal and predictive analytics. By replacing after-the-fact investigations with proactive, data-guided interventions, SAFETI lays the groundwork for regulators, employers, and researchers to target inspections, refine safety practices, and explore new solution spaces that keep Virginia’s workers safer.
* We are grateful for the generous support from the Virginia Department of Labor and Industry (DOLI). Also, we are grateful for the support of AI-in-Gov council and Dr. Amarda Shehu for supporting this initiative.
* PIs: Myeong Lee & Kevin Laybarge