John T. Murphy



John T. Murphy is a Computational Social Scientist in the Center for Complex Adaptive Agent Systems Simulation within the Decision and Information Sciences Division at Argonne National Laboratory and a Fellow at the Computation Institute at the University of Chicago. His focus is on computational approaches to social phenomena, including the origins of complexity and cooperation, self-organization in social systems, and resilient and robust resource management institutions. His major research focus is the U.S. Southwest, especially the management and consumption of water in central Arizona in both prehistoric and contemporary periods.

Dr. Murphy specializes in agent-based modeling, and has designed or contributed to agent-based models in an array of social and ecological fields including archaeology, biology, ecology, education, genetics, economics, cultural anthropology, and demography. He is a lead developer for the Repast HPC toolkit for Agent-Based Modeling on High-Performance Computing Systems, which allows rapid construction of agent-based models that can be executed on Top-500 computing systems. He additionally works with data mining and natural language processing, commonly using texts to assemble and analyze meaningful networks among extracted entities. He also has a strong background in database theory and design, and has developed databases for both business and academic research contexts.

Dr. Murphy received his Ph.D. in Anthropology from the University of Arizona, and also holds a Master of Arts in Education from The Ohio State University. He has participated in archaeological fieldwork in India, Central America, the Mediterranean, and the U.S. Southwest. He is a member of the Society for American Archaeology, the American Anthropological Association, and the American Geophysical Union, and serves on the Interim Executive Board of the Community of Modelers in the Social and Ecological Sciences (CoMSES). He is the editor of the CoMSES Digest, and additionally serves as the Communications Officer for the Computational Social Science Society of the Americas (CSSSA).