On 15.10.2024, as part of the conference The 4th International Conference on Sustainable Development in Civil, Urban and Transportation Engineering 2024 (https://cute2024.pwr.edu.pl/), Special Session VI titled “Data-Driven Science in Civil Engineering Materials” took place.
The session focused on showcasing recent advancements in data analysis and machine learning techniques applied to materials science in civil engineering. With the increasing complexity of construction projects and the growing need for sustainable, durable materials, data science is emerging as a powerful tool to optimize material selection, design, and performance. The session explored various applications such as predictive modeling, decision support systems, and advanced computational simulations to better understand material behavior under different external conditions.
The session was organized by the IM4StEM project committee, including:
· Agnieszka Chowaniec, Wroclaw University of Science and Technology
· Slawomir Czarnecki, Wroclaw University of Science and Technology
· Lukasz Sadowski, Wroclaw University of Science and Technology
The session was chaired by Slawomir Czarnecki from Wroclaw University of Science and Technology and Damian Stefaniuk from the Massachusetts Institute of Technology (MIT).
A total of six presentations were delivered: five by researchers presenting their latest findings, and one by representatives from the industry — Dyckerhoff company — providing valuable insights into practical implementations of data science in material production and performance monitoring.
The session fostered an engaging exchange of ideas between academia and industry, emphasizing the potential of data-driven methods to revolutionize materials science in civil engineering.
