Summary
Brian Keegan is an associate professor of information science at the University of Colorado Boulder and a computational social scientist who studies online collaboration, networks, and public-interest data science. With a PhD from Northwestern and prior research roles at Harvard Business School and Northeastern, he blends network analysis, agent-based modeling, and large-scale data mining to explain how groups coordinate in high-tempo settings like Wikipedia and social media. He directs work at the intersection of CSCW and collective intelligence, applying methods from hierarchical models to simulation to topics as diverse as cannabis informatics and covert networks. Known for translating scholarly insight into reproducible data science, he combines rigorous empirical work with open-source engagement and a background in mechanical engineering that informs his systems-oriented approach.
12 years of coding experience
11 years of employment as a software developer
S.B., Mechanical Engineering; Science, Technology, & Society, S.B., Mechanical Engineering; Science, Technology, & Society at Massachusetts Institute of Technology
IB Diploma, IB Diploma at Green Valley High School
Ph.D., Media, Technology, Society, Ph.D., Media, Technology, Society at Northwestern University
English, Spanish