Visualizing what’s missing: Using deep learning and Bow-Tie diagrams to identify and visualize missing leading indicators in industrial construction

This study, among a few other things, compared 633 incidents against >9 inspection reports with similar contexts to understand the overlap. Data was from a Canadian construction project over 3 years. E.g. They used multi-methods, including natural language processing, text mining, bow ties and more to evaluate if field inspections are looking at the same… Continue reading Visualizing what’s missing: Using deep learning and Bow-Tie diagrams to identify and visualize missing leading indicators in industrial construction