We combine the endowment effect and role models to help engineers set higher sustainability goals. We disclose the intervention and also test among groups.
Cognitive biases, such as risk aversion, social norms, choice overload, and status quo reduce the effect of monitoring based commissioning.
This paper illuminates needs and future research at the convergence of decision science and engineering design for sustainability.
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
Tripp Shealy • Department of Civil and Environmental Engineering • Virginia Tech