Uploaded October 2025 | Updated September 2026, 23 hours ago
In a constantly evolving urban landscape, the future of housing is increasingly intertwined with the complexities of a rapidly advancing technological sphere. The ‘HOME’CAST conference explores how AI, predictive analytics, and adaptive climate modeling are converging to shape housing systems that are both resilient and responsive to change. How do intermittent renewable energy sources like wind and solar complicate energy supply and building design? Can emerging technologies unravel these complexities when we can’t reliably forecast how much sun we’ll get or when the wind will blow? On the demand side, how do smart buildings, zero-energy homes, and community-scale energy systems adapt in real time to precarious energy inputs?
‘HOME’CAST brings together a curated group of experts—industry leaders, scholars, and practitioners—for a series of analytical panel discussions. These will highlight innovations in fault detection, AI-driven energy modeling, and climate-adaptive infrastructure, alongside broader conversations about urban planning, equity, design, and predictive governance.
From sustainability and climate resilience to data-driven, technology-enabled approaches and intelligent infrastructure, the conference offers multidisciplinary perspectives from design, data science, policy, and urban development—envisioning new forms of shelter in a climate-constrained world.
Panel 3, Innovating Urban Planning: AI Applications for Climate Resilience and Public Health
Thomas Sanchez, Texas A&M
Juan Palacios, MIT & Maastricht University
00:00 Introduction by Lyna
02:10 Presentation by Thomas Sanchez
26:01 Presentation by Juan Palacios
52:47 Panel Discussion
In a constantly evolving urban landscape, the future of housing is increasingly intertwined with the complexities of a rapidly advancing technological sphere. The ‘HOME’CAST conference explores how AI, predictive analytics, and adaptive climate modeling are converging to shape housing systems that are both resilient and responsive to change. How do intermittent renewable energy sources like wind and solar complicate energy supply and building design? Can emerging technologies unravel these complexities when we can’t reliably forecast how much sun we’ll get or when the wind will blow? On the demand side, how do smart buildings, zero-energy homes, and community-scale energy systems adapt in real time to precarious energy inputs?
‘HOME’CAST brings together a curated group of experts—industry leaders, scholars, and practitioners—for a series of analytical panel discussions. These will highlight innovations in fault detection, AI-driven energy modeling, and climate-adaptive infrastructure, alongside broader conversations about urban planning, equity, design, and predictive governance.
From sustainability and climate resilience to data-driven, technology-enabled approaches and intelligent infrastructure, the conference offers multidisciplinary perspectives from design, data science, policy, and urban development—envisioning new forms of shelter in a climate-constrained world.
Panel 3, Innovating Urban Planning: AI Applications for Climate Resilience and Public Health
Thomas Sanchez, Texas A&M
Juan Palacios, MIT & Maastricht University
00:00 Introduction by Lyna
02:10 Presentation by Thomas Sanchez
26:01 Presentation by Juan Palacios
52:47 Panel Discussion
