Selecting Building Materials Using Recommender Systems and Embodied Carbon
Program: Data Science Master's Degree
Location: Not Specified (remote)
Student: Douglas Elliot Neri
My capstone measured the viability of a content recommender system using two tools that are prevalent within the architecture, engineering, and construction industry. The focus was surrounding embodied carbon, as the way buildings are designed and constructed is one of the major contributors to this greenhouse gas.