Shiyang is a Ph.D. student in the Department of Sociology at the University of Chicago. Before this, he held a visiting fellow position at Northwestern University's Kellogg School of Management and received an M.A. in Computational Social Science from the University of Chicago. His current research agenda broadly encompasses societal computing and collective intelligence. In societal computing, he is developing a new computational framework to model social entities and systems, drawing inspiration from quantum physics. This approach aims to introduce a new lens for understanding the social world and to improve inference and predictions of a wide range of social activities, with an initial focus on scientific and technological innovations. In the realm of collective intelligence, his work explores the emergence of the wisdom of crowds and how it can be more effectively harnessed in open environments with minimal regulations from an evolutionary perspective. Shiyang's scope extends beyond merely human entities to include artificial intelligence, acknowledging their increasing significance in the contemporary landscape of social learning.