Decision Engineering Lab

We study the engineering design and decision making process for infrastructure systems and creatively apply insights from behavioral, cognitive, and data science to encourge less carbon intensive and more user-centered outcomes.

Recent Publications

Blog

Cognitive barriers during monitoring-based commissioning

Cognitive biases, such as risk aversion, social norms, choice overload, and status quo reduce the effect of monitoring based commissioning.

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Blog

Using a case study to bridge engineering and behavioral science

The module teaches students the role that cognitive barriers such as choice overload, bounded rationality, and satisficing play in decision making for sustainability.

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Blog

Beyond rationality in engineering design for sustainability

This paper illuminates needs and future research at the convergence of decision science and engineering design for sustainability.

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Recent News

Motivation for Our Research

Global sustainability challenges such as rapid urbanization and climate change create a less predictable future with reduced warning times and compressed decision cycles for those responsible for maintaining and constructing our built environment. Therefore, our goal is to improve decision making under uncertainty to encourage more sustainable infrastructure systems. More specifically, to create a shared discipline and language between civil engineering, cognitive psychology and data science that leads to more informed and sustainable engineering solutions. Our focus on decision making uniquely complements what are often costlier investments in technology and holds promise for less intrusive solutions compared to legal and economic policies.

- DE Lab Group