Perspective-Aware Computing is an emerging area of computational innovation in which users of the system can view and interact through each other’s points of view without the need for a centralized recommendation system. In this talk, we highlight our emerging research and show applications in city science, medicine, robotics and future of work. In the technical section, the speaker highlights a multi-modal Neuro-Symbolic graph generation AI approach to construct personalized models known as “Chronicles” from a user’s digital footprint, comprehending an individual’s cognitive and behavioral tendencies in diverse contexts. In summary, we allow individuals to lend their expertise to each other, and advance classic digital personalization techniques toward more participatory systems. This approach has potential in the design of less-biased recommendation systems in areas such as Digital Immortality, peer-to-peer learning, and in general, decentralized Ai and computational social systems.