DAC explores various types of data in the construction industry. This lab seeks data-driven solutions for smarter decision making throughout the project life cycle.

The construction industry is behind the other industry sectors in taking advantage of ever growing digital data created from multiple sources at the departmental, organizational, and industry levels for intelligent business decisions. Statistics, simulation, data mining, machine learning, artificial intelligence, and natural language processing techniques are some of the representative methodologies used by the lab researchers.

Some specific applications include: a) Big data analytics for construction data, b) Application of NLP to define project requirements, c) Infrastructure asset management – asset deterioration pattern prediction models, d) Construction cost estimating and cost index models.