The NASA-ERAU In-Time Aviation Safety Management System (IASMS) project is a multi-year research initiative aimed at improving aviation safety by developing tools to detect and support resilient performance in real time. Grounded in the Safety-II and Learning From All Operations (LFAO) frameworks, the project analyzes everyday pilot behavior to better understand how safety is maintained under varying operational conditions. The research involves the collection and analysis of over-the-shoulder (OTS) flight deck videos, combined with cued retrospective think-aloud sessions (CRTASs) to explore pilot decision-making and system interactions.

 

As Transcription Team Lead, I manage a cross-functional team of 9 student researchers, 3 subject matter experts, and 2 faculty advisors through the data preparation phase of the project. Our team is responsible for transcribing and coding flight deck audio and video data, ensuring accuracy and consistency to support downstream analysis. This role requires close coordination, attention to detail, and iterative refinement of transcription protocols to align with research goals. The IASMS project serves as a key example of how human factors research can support proactive, system-wide safety enhancements in commercial and cargo aviation.