Dan Ryan is a senior lecturer in the Department of Computer Science at Johns Hopkins University. A social scientist with a computer science background, he takes a broadly interdisciplinary approach to thinking about humans and technology.
His research interests include AI safety and governance, the social theory of human intelligence alignment, applications of AI in education, and educating policymakers about AI. More generally, he researches the import and export of concepts, tools, and styles of thinking between computer science and the humanities and social, design, and policy sciences. His past work and teaching have dealt with social organization, multi-agent modeling, normative control of information sharing, policy modeling and simulation, human-centered design, geographic information systems, social theory, research methods, and legal innovation.
Ryan received a bachelor’s in mathematical, physical, and computer sciences from New College of Florida and a PhD in sociology from Yale University. Before joining Johns Hopkins, Ryan was a professor at the University of Toronto, the University of Southern California Iovine Young Academy, and Mills College.