The selected works reflect a broad commitment to environmental and social responsibility across multiple scales and disciplines, addressing pressing urban challenges such as climate change, energy use, building operations, water management, and socioeconomic concerns. Experimenting with diverse research methodologies and design practices, these projects seek to advance sustainable solutions within the built environment. Recent research has been focused on integrating data-driven machine learning approaches with sensor-based IoT systems to develop environmentally responsive applications that mediate interactions among human, architecture, and their urban surroundings.