Dr. Rob Axtell, full professor in the Department of Computational Data Science, earned an interdisciplinary Ph.D. at Carnegie Mellon University, where he studied computing, social science, and public policy. His teaching and research involves computational and mathematical modeling of social and economic processes. Specifically, he works at the intersection of multi-agent systems computer science and the social sciences, building so-called agent-based models of a variety of marketand non-market phenomena.
His work has been published in “Science,” the “Proceedings of the National Academy of Sciences, USA,” and been reprised in “Nature,” as well as appearing in leading field journals. His research has been supported by private foundations and governmental organizations. Stories about his research have appeared in many major magazines and newspapers. He is co-author of “Growing Artificial Societies: Social Science from the Bottom Up” (MIT Press).
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