Data Analytics & Artificial Intelligence for Construction Management


About Us

The 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

Digital Project Delivery

The adoption of various advanced computerized technologies such as 3D modeling, LiDAR, Geographic Information System (GIS), E-Construction, and automated machine guidance (AMG) is making a transformative change in how project information is produced, exchanged, and managed throughout the life cycle of a construction project from an analog to a digital data based system. The significant improvement of data and information sharing between project participants and across various project development stages is possible with a model based project delivery process, and digital data transfer systems, which will, in turn, translate into increased productivity, efficiency in project delivery, accountability of decisions.

We are passionate about developing new theories, processes and implementable tools to accelerate the industry’s transition to digital data based project delivery.

Digital Data Workflow

Data handover still relies heavily on data workflow that was designed decades ago when projects were delivered on paper. Those project administration and management oriented data workflow poses a serious threat for streamlining digital data flow to the asset management (operation and maintenance) stage for minimizing resource waste and minimizing needs to recreate data that were generated or collected during the early project delivery stages. Restructuring data workflow and implementing it is a crucial piece for advancing digital project delivery

NLP Based Information Extraction

Most contractual requirements and project scope definitions are provided in text format. With the advancement of NLP techniques and artificial intelligence techniques, it is becoming possible to have computers extract and process specific information that meets the needs of designers and contractors for their proper decision making.

Unit Price Visualization

Visualized data is powerful for decision making and for better communication. Historical bid data in digital format can be used in Geographic Information System (GIS) to visualize the spatial pattern of the unit prices of work items and estimate the unit price of a new location using scientific interpolation techniques. Using the heat map concept, the distribution of unit prices of an work item in a region can be effectively visualized.

As-Built Schedule Visualization

As-built schedules prepared during and after construction are valuable tools for owner agencies to monitor construction progress, evaluate contractor’s schedule performance, ensure successful execution of a project, and defend against potential legal disputes. With digitally available daily work report data, the as-built schedule of a complete or an on-going project can be visualized for various purposes.

Industrial Integrated Project Delivery (I2PD)

Higher collaboration of project team members and higher integration of work processes are the key for project success. Use of many digital technologies in modern construction demands a better project delivery mechanism that can stimulate and promote better data and information sharing, collaboration and integration. I2PD is a project delivery method that can meet this demand for complex projects in the industrial sector