Two master theses using IGLAD data published

16 October 2026

Two master theses have been published by Chalmers respectively Gothenburg Univerities of Sweden:

"Exploring the capabilities of LLMs in imputing missing industry-grade accident data for scenario generation"

investigates the capabilities of LLMs to infer missing values within industrial-grade accident databases, with a focus on variables deemed necessary for the reconstruction of the scenario, and:

"Harmonizing Insurance Crash Data with the IGLAD Common Data Scheme: Reconstruction and Digitization: A Weighted Compatibility Rating System for Assessing Crash Data"

which explored the feasibility of harmonizing car-to-VRU insurance crash data with the IGLAD common data scheme.

For more information, there are links to the theses papers on the publications page.