Assistant Research Scientist, Survey Research Center, Institute for Social Research
University of Michigan
Felix Kabo obtained his professional architecture degree and Ph.D. from the University of Michigan. His primary research interest is how physical and social contexts shape outcomes related to collaboration and team science, entrepreneurship and innovation, and aging and health. Addressing these issues entails applying computational social science and Big Data approaches including sociospatial network science and machine learning. Dr. Kabo examines these issues using large-scale datasets and complex survey data.