Bridging Computational Design to Sustainability. A Computational-Based Biophilic Design Framework

This paper proposes a Computational-Based Biophilic Design Framework that addresses the ecological and social imperatives of the contemporary built environment. Rooted in the principles of Biophilia and guided by the twin transition—digitalization and sustainability—the framework seeks to operationalize Biophilic Design through computational approaches. It leverages data-driven, parametric, and adaptive tools to translate qualitative human-nature relationships into responsive design strategies. Grounded in a systematic literature review, the framework emphasizes ecological integration, emotional resonance, and cultural relevance, positioning design as a transformative agent that restores the human-nature bond while enhancing biodiversity, resilience, and well-being. Computational Design is conceptualized not merely as a technical process, but as a means of embedding complex environmental data and behavioral patterns into iterative, context-sensitive workflows. The framework critiques potential risks, such as design homogenization and technological determinism, and underscores the necessity of maintaining human- and nature-centered priorities. Equity and inclusiveness are integral, promoting culturally sensitive and socially responsive design practices. By aligning Biophilic Design with sustainability and digital innovation, the framework offers a robust interdisciplinary foundation for designing ecologically intelligent, health-promoting environments, and calls for continued exploration of how computational tools can support regenerative, adaptive, and emotionally meaningful design futures.