Revolutionizing Experiments with Computational Social Science - James He, Data Scientist
Join this engaging interview with a computational social scientist whose diverse background in psychology, data science, education, and physics fuels groundbreaking research. Discover how this expert merges data science and social science, using chatbots to simulate societies and exploring the possibilities of adaptive sampling algorithms in experiments. Learn about their current paper, which tackles the challenge of conducting experiments more efficiently while minimizing participant waste. Find out how they successfully applied a math solution to dynamically allocate participants and optimize learning in drug trials and policy simulations. Don't miss this insightful conversation with an exceptional researcher making a difference in computational social science.
James He is currently a data scientist at Yonder Technology Limited, and an independent researcher affiliated with the University of Cambridge. His research ranges from big data social science, biostatistics, to LLM-based simulations of social dynamics.
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