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  • ISSN: 2632-6736 (Online)
  • Editors: Eleni Chatzi ETH Zürich, Switzerland, Mark Girolami University of Cambridge & The Alan Turing Institute, UK, and Kenichi Soga University of California Berkeley, USA
  • Editorial board
Transforming engineering sciences and practice

Data-Centric Engineering publishes research at the interface of data science and engineering - for example, civil, mechanical, aeronautical, materials, electrical, industrial, chemical. Papers will explore the benefits and implications of data science methods and models for improving the reliability, resilience, safety, efficiency and usability of engineered systems.

DCE is an open-access journal run by an international team of distinguished experts. All papers are peer-reviewed and for the benefit of readers will carry an impact statement summarising the context and significance of the work.

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Introducing DCE

Video interviews from the DCE workshop at MIT in 2019.