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innovation agency. Project partners include White Frog Publishing Ltd and the University of Westminster.
Project Leadership

Project Lead
The highly experienced team will lead the project, develop optimization algorithm API, facilitate stakeholder engagement and support the project with real-life testing of the AI-DOWEP prototype.

Lead Researcher
Researchers in BIM and Construction informatics, will lead the research work packages, use big data-analytics and machine-learning to develop and integrate the AI-DOWEP system.
Mission Statement
To optimize construction design by delivering innovative AI-driven tools that minimize material waste,
increase efficiency, and promote sustainability.
Background
The construction industry generates 137.8 million tonnes of waste annually in the UK, costing £11 billion per year. Despite regulations promoting waste reduction, manual design processes and existing tools fail to effectively address waste efficiency, leading to significant environmental and financial impacts.
Challenge
Avoidable waste arises from inefficient designs, time-consuming manual methods, and gaps in existing tools like BIM platforms and waste management systems. There's a critical need for scalable, AI-powered solutions that address waste at the design stage.