As an urban conservation scholar, my work orbits the pivotal task of preserving urban heritage and identity. My research delves into the intricate balance of conserving both the visual characteristics and the intangible, emotional attachments residents have with historic cities. This dual focus—respecting the 'city in the eyes' and cherishing the 'city in the mind'—guides my inquiry into the delicate fabric of urban heritage. At the core of my research is a novel approach to managing change in historic settings. Recognizing that traditional methods fall short in grappling with the complex dynamics of urban conservation, I employ big data analytics and machine learning techniques. These tools enable me to uncover the non-linear and threshold effects inherent in urban conservation, offering fresh perspectives and robust solutions. This innovative blend of technology and traditional conservation principles positions my work at the forefront of the field. It not only enriches our understanding of urban heritage but also equips policymakers with data-driven insights for sustainable decision-making. In essence, my research endeavors to bridge the gap between historical reverence and contemporary urban development, ensuring that our urban past is not just remembered, but also integrated into our future.