'HOME'CAST: Shaping the Built Environment through Data-Driven Innovation

In a rapidly changing world, the future of housing is increasingly entangled with the complexities of a transforming energy landscape. 'HOME'CAST, a student-run Doctor of Design conference at the Harvard Graduate School of Design, explores how AI, predictive analytics, and climate finance are converging to shape housing systems that are both resilient and responsive to change.

This interdisciplinary conference investigates how intermittent renewable energy sources—like wind and solar—complicates both energy supply and building design. How do we plan housing systems when we can’t guarantee 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 volatile energy inputs?

Through thought-provoking panel discussions, 'HOME'CAST will spotlight innovations in fault detection, AI-driven energy modeling, and climate-adaptive infrastructure—alongside broader conversations about equity, design, and predictive governance. From real estate forecasting to distributed energy coordination, the conference will forward perspectives from design, data science, policy, and urban development to imagine new forms of shelter in a climate-constrained world.

Free and open to the public; will also be livestreamed. 

Harvard GSD Gund Hall, Stubbins 112

Register to attend