New methods for Geotechnical Engineering, centred around the application of machine learning methods or advanced statistical analysis, are being developed by our research team. Several strands of our work now include the use of surrogate models, with applications in (near) real-time back analysis, design optimisation and development of early warning systems.

In the period 2023-25, we ran project SIDeTools, which produced a series of surrogate models for use in Geotechnical Engineering, as well as a number of publications detailing their creation and application. An event was held at Imperial College in June 2025 - the recordings are available in the project's webpage.