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Construction Information Technology Laboratory


The University of Cambridge’s CIT Lab is pleased to announce a new research project in partnership with nPlan and Kier Infrastucture and Overseas Ltd, following a successful grant application to InnovateUK.  The £846,753 grant for the project titled “AI-Optimised Pathways for Schedule Execution” is a result of their bid to the Sector Deal-sponsored CFP on “Increase productivity, performance and quality in UK construction”. The proposed project seeks to develop a novel automated 'schedule learning platform' that applies data science and machine learning to thousands of previous project schedules, offering a unique scalable solution for improved certainty and confidence in project planning for future projects. The solution is based on thousands of previous construction projects, allowing the platform to learn across projects what was planned to happen and what actually happened, thus reducing the effect of human bias, subjectivity and inaccuracy. Schedule data is analysed, similar tasks and relationships are automatically grouped, with patterns drawn using Artificial Intelligence, enabling the platform to predict the most likely outcome for every task and provide optimal paths/recommendations to mitigate risks/delays. For more details, please see our Research pages.

For more news about this project see:

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