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Brooks Ambrose is a visiting doctoral candidate from the Department of Sociology at UCLA and a member of the D-Lab Services Team. His work focuses on the measurement of boundaries in social and cultural organizations using relational data from the arts and sciences and from the entertainment industry. His dissertation applies network community detection and survival analysis methods to a century's worth of citation data to study the stratification and longevity of research fields in the social sciences in the 20th century. His interests include classical sociological theory and social science pedagogy.

Consulting

R: Network analysis and network visualization, text analysis, regular expressions, data and code management including for big data.
Not currently available.

Guidance for beginners or experienced users on efficient design and management of both data and code, including specialized formats like string, network, and survival data. Debugging and diagnostics to increase memory and computational efficiency. Nuts and bolts of writing custom functions in R to facilitate reproducible results. Descriptive and exploratory analysis of network and survival data.

If you'd like to request a consultation with Brooks, please include the following: a brief description of your project, data and what you are at in the research process.