Research Area 04 · Construction Decision Intelligence Lab
Projects fail for reasons practitioners can name, and the next generation learns from what the curriculum includes. This area studies delivery outcomes and brings AI and sustainability into how construction is taught.
Projects fail for reasons practitioners can name, and the people they hurt most are rarely the people who chose the method. Meanwhile the next generation of construction managers learns from a curriculum that is only beginning to include AI, sensing, and sustainability, and often learns it abstractly, far from the decisions they will actually face.
Empirical work on why projects fail and what that failure costs the people around them, and education research on bringing AI and sustainability knowledge into construction programs through real cases and working instruments. The Field Instruments double as teaching modules: students change an input, watch the consequence, and explain why the result changed.
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Research → Think Tank → Field Instruments
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Construction management educators, owners with project-outcome data to share, and students who want to build the next module.
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