Dr. Simona Mannucci is a researcher in the Department of Civil, Building, and Environmental Engineering DICEA, at Sapienza University of Rome. She holds a doctorate degree in Architectural Engineering and Urban Planning from Sapienza University. She teaches the Architectural Engineering course at the Rieti campus of Sapienza University. Her research interests include adaptive approaches to increase resilience in long-term planning for the built environment in case of uncertainties and mitigative short-term strategies for climate-exacerbated phenomena, specifically flooding. She is also involved in a project to produce a database of building archetypes for the Italian building stock for UBEM simulations. Furthermore, she is researching for the NRRP the role of Bio-based insulations for energy savings and machine learning approaches for determining the most performing solution between passive, active, and combined (ACP) strategies for improving the building stock.

• 1. Introduction.- 2. Framing the current practices.- 3. Supporting Decision-making under uncertainty.- 4. Case study description.- 5. Concluding Remarks and Future Outlook.

Dr. Simona Mannucci is a researcher in the Department of Civil, Building, and Environmental Engineering DICEA, at Sapienza University of Rome. She holds a doctorate degree in Architectural Engineering and Urban Planning from Sapienza University. She teaches the Architectural Engineering course at the Rieti campus of Sapienza University. Her research interests include adaptive approaches to increase resilience in long-term planning for the built environment in case of uncertainties and mitigative short-term strategies for climate-exacerbated phenomena, specifically flooding. She is also involved in a project to produce a database of building archetypes for the Italian building stock for UBEM simulations. Furthermore, she is researching for the NRRP the role of Bio-based insulations for energy savings and machine learning approaches for determining the most performing solution between passive, active, and combined (ACP) strategies for improving the building stock.

• 1. Introduction.- 2. Framing the current practices.- 3. Supporting Decision-making under uncertainty.- 4. Case study description.- 5. Concluding Remarks and Future Outlook.

Dr. Simona Mannucci is a researcher in the Department of Civil, Building, and Environmental Engineering DICEA, at Sapienza University of Rome. She holds a doctorate degree in Architectural Engineering and Urban Planning from Sapienza University. She teaches the Architectural Engineering course at the Rieti campus of Sapienza University. Her research interests include adaptive approaches to increase resilience in long-term planning for the built environment in case of uncertainties and mitigative short-term strategies for climate-exacerbated phenomena, specifically flooding. She is also involved in a project to produce a database of building archetypes for the Italian building stock for UBEM simulations. Furthermore, she is researching for the NRRP the role of Bio-based insulations for energy savings and machine learning approaches for determining the most performing solution between passive, active, and combined (ACP) strategies for improving the building stock.

• 1. Introduction.- 2. Framing the current practices.- 3. Supporting Decision-making under uncertainty.- 4. Case study description.- 5. Concluding Remarks and Future Outlook.