All Outputs (3)

Probabilistic inference of material quantities and embodied carbon in building structures (2024)
Journal Article
D’Amico, B., & Arehart, J. H. (2024). Probabilistic inference of material quantities and embodied carbon in building structures. Journal of Building Engineering, 94, Article 109891. https://doi.org/10.1016/j.jobe.2024.109891

In an effort to minimise the carbon footprint of building structures, a range of prediction tools and methods have been recently proposed, so to enable design practitioners evaluating how their design choices ultimately affect the carbon embodied in... Read More about Probabilistic inference of material quantities and embodied carbon in building structures.

Net Zero Emissions Buildings, Shifting the Focus from Energy Efficient to Whole Life Carbon Emission: A Review Study (2024)
Presentation / Conference Contribution
Obead, R., Khaddour, L., & D'Amico, B. (2024, April). Net Zero Emissions Buildings, Shifting the Focus from Energy Efficient to Whole Life Carbon Emission: A Review Study. Presented at Environmental Design, Material Science, and Engineering Technologies conference, Dubai, UAE

Building construction and operation are significant contributors to global world emissions. Therefore, reducing emissions in this sector is an essential step in global efforts toward a zero-emission economy. As a response to this need, many works hav... Read More about Net Zero Emissions Buildings, Shifting the Focus from Energy Efficient to Whole Life Carbon Emission: A Review Study.

MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics (2024)
Book Chapter
Arehart, C. H., Arehart, J. H., David, M. Z., D'Amico, B., Sozzi, E., Dukic, V., & Pomponi, F. (in press). MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics. In B. Sriraman (Ed.), Handbook of Visual, Experimental and Computational Mathematics - Bridges through Data (1-29). Springer. https://doi.org/10.1007/978-3-030-93954-0_2-1

During the global COVID-19 pandemic, policy makers, public health practitioners, medical experts, and laypersons have sought data that would enable evidence-based decisions about which interventions would be most effective at slowing the spread of SA... Read More about MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics.