Research shows that limited diffusion of knowledge predicts abrupt collapses in the use of scientific ideas, like bursting market bubbles.
James Evans
James Evans is the Max Palevsky Professor of Sociology and Data Science, Director of the Knowledge Lab, and Founding Faculty Director of Computational Social Science at the University of Chicago. His research uses large-scale data, machine learning, and generative models to study how human and machine collectives think and what they know, focusing on the emergence of ideas, reasoning patterns, and processes of attention, communication, and agreement. Supported by the NSF, NIH, and DOD, Evans’ work is published in Nature, Science, and PNAS, and covered by The New Yorker, The New York Times, The Economist, and more.