In the age of big data, machine learning technology has been effectively utilized in various fields such as image processing, genomics, engineering computing, macroeconomic forecasting, and medical diagnosis. However, despite its success, applying data-driven computing and machine learning in engineering analytics still presents many unresolved challenges.

With the aim of promoting research and the application of big data analysis, data-driven computing, and artificial intelligence in engineering, as well as fostering scientific exchanges among scientists, practitioners and engineers from related disciplines, the DACOMA conference series has been successfully held since 2019.

The 6th International Conference on Data-Driven Computing and Machine Learning in Engineering (DACOMA-26) will be held at Fudan University, 220 Handan Road, Yangpu District, Shanghai, China, from 16 to 18 October, 2026. The conference is guided by the Chinese Society of Theoretical and Applied Mechanics and hosted by Fudan University and Tongji University.

This edition is jointly organized by Tsinghua University, Leibniz University Hannover, Bauhaus University Weimar, Beijing Institute of Technology, and Hohai University. Prof. Timon Rabczuk, Prof. Hehua Zhu, and Prof. Zhuo Zhuang serve as the conference chairs, with Prof. Xu Guo serving as the conference honorary chair.

DACOMA-26 will continue to focus on machine learning and artificial intelligence across relevant topics in engineering and science.

We sincerely invite experts, scholars, and students in the fields of data-driven computational mechanics and machine learning to participate in this grand event. We look forward to welcoming you to the vibrant city of Shanghai for an inspiring and productive academic exchange.