Overview

Learning from railway accidents is a complex process that involves reviewing extensive documentation, sometimes across multiple languages, while addressing difficult operational issues. For early-career engineers, the challenge is compounded by the need to build foundational knowledge while working through a growing archive of incidents. This webinar, presented by Dr Wei-Ting Hong, Postdoctoral Research Associate at the John Grill Institute for Project Leadership, University of Sydney, will discuss how artificial intelligence can assist in processing accident data, support analysis, and provide insights for decision-making in railway safety. The session will also outline examples of how research approaches are being applied in practice, highlighting both opportunities and challenges in expert–AI collaboration.

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Learning outcomes

In this presentation, you will:

• consider how expert–AI collaboration can contribute to prioritisation, judgement, governance, and transparency in railway safety decision-making
• examine AI techniques for processing and analysing large volumes of multilingual accident reports
• explore approaches for connecting academic research with industry practice in AI-supported railway operations
• gain an understanding of potential applications of AI in supporting safer and more efficient railway systems.

Program

Online:

• 12:00 pm AEST: Webinar begins, followed by Q&A
• 13:00 pm AEST: Webinar ends

About the speaker

Wei-Ting Hong

Postdoctoral Research Associate in Project Analytics at John Grill Institute for Project Leadership, the University of Sydney