José Lobo
Associate Research Professor
Ph.D., Regional Sciences, Cornell University
SHESC Themes: Societies and their Natural Environments, Urban Societies
Field Specializations: metropolitan economic performance, location-specific economic growth, regions of innovation, social networks, urban size and scaling, machine learning, data mining, spatial statistics methods, socioeconomics
Regional Focus: International
Contact: José Lobo, TMPCT 151H
Research:
José Lobo is interested in determinants of metropolitan economic performance and location-specific economic growth; the application of machine learning, data mining and spatial statistics methods to the study of socioeconomic data; causes and consequences of urban size and scale; and how the characteristics of individuals, organizations, institutions and social networks interact to create "regions of innovation." Lobo has acted as visiting researcher at the Santa Fe Institute and Italy's Università di Modena e Reggio Emilia. Currently, he is on the faculty steering committee for ASU's Center for Social Dynamics and Complexity.
Research Projects:
Teaching:
Lobo has taught undergraduate courses in statistics, data analysis and econometrics. His graduate-level instruction includes microeconomics, spatial and urban economics, economic growth theory, data analysis and econometrics.
Select Publications:
Bettencourt, L., Lobo, J. & West, G. (in press). The self similarity of human social organization in cities. In D. Lane, D. Pumain, S. van der Leeuw & G. West (Eds.), Complexity perspectives in innovation and social change. Berlin: Springer-Verlag.
Bettencourt, L., Lobo, J. & West, G. (in press). Why are large cities faster? Universal scaling and self-similarity in urban organization and dynamics. European Journal of Physics B.
Lobo, J. & Strumsky, D. (2008). Metropolitan patenting, inventor agglomeration and social networks: A tale of two effects. Journal of Urban Economics, 63(3), 871-884.
Bettencourt, L., Lobo, J., Helbing, D., Kühnert, C. & West, G. (2007). Growth, innovation, scaling and the pace of life in cities. Proceedings of the National Academy of Sciences, 104, 7301-7306.
Pumain, D., Paulus, F., Vacchiani-Marcuzzo, C. & Lobo, J. (2006). An evolutionary theory for interpreting urban scaling laws. CyberGeo: Revue Européenne de Géographie, 343, 1-20.
Lobo, J., Drennan, M. & Strumsky, D. (2004). An application of the unit root test to the question of income convergence across U.S. metropolitan areas. Journal of Economic Geography, 4(5), 583-595.