Data-centric modelling and analysis of sustainable geotechnical systems

The Editorial Board of Machine Learning and Data Science in Geotechnics is inviting new papers on Data-centric modelling and analysis of sustainable geotechnical systems. 

This Special Issue aims to serve as a repository of best-practice data-centric approaches to achieving sustainable geotechnical design and risk mitigation. While the scientific literature related to the use of data-driven approaches in geotechnics is rapidly increasing, there is a paucity of contributions specifically focusing on sustainability-related aspects. The inclusion of fundamental global issues such as climate change adaptivity provides additional value to the topic.

Examples of topics of papers may include, but are not limited to:

• modelling and assessing the adapting capacity of geotechnical systems to climate change
• modelling and assessing the environmental and financial sustainability of climate-proof geotechnical engineering projects
• fostering the development and diffusion of innovative design methods for sustainable geotechnical solutions such as nature-based solutions
• providing frameworks, guidelines, methods, and tools for the analysis, assessment, management, and zonation of geoenvironmental multi-risks stemming from anthropogenic and natural hazards including climate change, with special emphasis on the modelling of the effects of sustainable risk mitigation solutions
• providing concepts, frameworks, methods, and tools for the best-practice design and implementation of geoenvironmental monitoring systems.

To pursue these aims, this Special Issue will welcome State-of-the-Art, theoretical contributions as well as illustrations of best-practice case-study applications of a wide range of data-centric approaches relying on machine learning and artificial intelligence techniques.

Submitted papers will be anonymously commented upon by other members of the civil engineering profession (peer review) – a process which maintains the high technical quality of the journal. Not all submitted papers are accepted. 

• Submit your Paper by 28th February 2025.

For queries or late submissions, please e-mail. You can also read our Guidelines for Authors.