Daniel Lobo

PhD Student, Department of Sociology, UC Berkeley
Berkeley Computational Social Science Fellow

Real name: 
Daniel Lobo

Daniel Lobo is a PhD student in the Department of Sociology at UC Berkeley. He believes that individuals make choices based on their preferences within a social context. Thus, his sociological project, like those of Émile Durkheim and Pierre Bourdieu, seeks to reveal the social in the apparently most individual forms of behavior. He is interested in how social conditions, both material and symbolic, shape the choices individuals make within our political economy–choices like where to live, who to build relationships with, whether and where to go to school, or where to work. Understanding the complex cognitive interaction between internalized dispositions and objective structures, including the digital structures of the 21st century, is core to this research project. Consequently, he draws most heavily on the work of Bourdieu, including his concepts of social reproduction, social fields, cultural and social capital, habitus, and symbolic power. Lobo aims to use the empirical power of computational social science to more precisely and comprehensively measure the effects of these theoretical concepts and others in his work. He holds a BA in Social Studies, with high honors, from Harvard College.


CSSTP - BIDS Project Page Banner blue bg

Berkeley Computational Social Science Training Program