Samuel Arbesman is a senior scholar in Research and Policy at the Ewing Marion Kauffman Foundation. Prior to joining the Kauffman Foundation, Arbesman was a research fellow in the Department of Health Care Policy at Harvard Medical School where he used network science and applied mathematics to study innovation, scientific discovery, and prosocial behavior. He also was a research fellow at the Institute for Quantitative Social Science at Harvard University and an instructor in biostatistics at the Harvard School of Public Health.
Arbesman is the author of several journal articles, including articles in the Proceedings of the National Academy of Sciences, PLoS Computational Biology, and Scientometrics. His research and writings have appeared in numerous major media outlets, including the Wall Street Journal, New York Times, The Atlantic, New Scientist, and The Economist, and he is a contributor to Wired. He has been invited to speak at organizations and universities across the United States and is the recipient of several awards, fellowships, and grants, including the National Science Foundation IGERT Fellowship in Nonlinear Systems. He is the author of the book The Half-Life of Facts, which is about how knowledge changes over time.
Arbesman earned a BA in computer science and biology from Brandeis University and a PhD in computational biology with a minor in ecology and evolutionary biology from Cornell University.