The Importance of Computational Discoveries in Health
Maximizing the potential of our increasingly vast base of scientific knowledge More »
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Samuel Arbesman is an applied mathematician and network scientist. He is a senior scholar at the Kauffman Foundation and a fellow at the Institute for Quantitative Social Science at HarvardUniversity. His writing has appeared in The New York Times, The Atlantic, Wired, New Scientist, and The Boston Globe. He lives in Kansas City with his wife.
Maximizing the potential of our increasingly vast base of scientific knowledge More »
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Scribes of all types seem to make the same mistakes, which means we can analyze texts like DNA More »
