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Stokes Viz Hub

The Stokes Visualization Hub is a space and service, that responds to the evolving digital research, data visualization, and qualitative analysis needs of the Princeton Students and Faculty, with a focus on SPIA and the related social sciences.

Data Visualization Consultants

Derek Wenning

Software:
  • Stata
  • Julia
  • Python
Background: Derek is a PhD candidate in the Economics department. His work is predominantly in macroeconomics, with a focus on the role of economic networks in facilitating macroeconomic fluctuations. He employs a variety of statistical and computational techniques in his research. Previously, he received a BA in Economics and a BS in Mathematics at Indiana University.
Languages: English

Kathleen Donnelly

Software:
  • R
  • MaxQDA
  • Python
  • Java
Background: Katie is a doctoral candidate in Sociology and Public Policy. Her work lies at the intersection of medical sociology, sociology of gender, and science and technologies studies, with a specific focus on reproductive technologies. She employs both quantitative and qualitative approaches in her work, including in-depth interviews, computational text analysis, and traditional statistical analyses.
Languages: English

Eric M. Manning

Software:
  • R
Background: Eric is a Ph.D. candidate in the Department of Politics. His research focuses on campaign finance, campaign messaging, and inequalities in political participation in the United States. His R skills include data cleaning, scraping, and visualization (incl. mapping), as well as large data management, probabilistic record linkage, and a variety of statistical analysis tools. Eric holds a B.A. in Government from Cornell University.
Languages: English

Jialiang Lin

Software:
  • R
Background: Jialiang is a PhD candidate in Economics. His research interest lies in the intersection between finance and macroeconomics with emphasis on banking, household/corporate finance, and labor markets. He has particular experience in constructing relational databases for storing complex hand-collected research data, and in developing online app for interactive data visualization with R.
Languages: English, Mandarin Chinese, Cantonese

Federico Tiberti

Software:
  • R
Background: Federico is a PhD candidate in the Department of Politics. His research focuses on the political economy of development, state formation and the historical emergence of patronage in bureaucracies. His R skills include data cleaning, wrangling, manipulation, statistical analysis/modelling, and a variety of visualization techniques, including maps and animations, as well as the use of RStudio for producing documents (RMarkdown), websites and web apps.
Languages: English and Spanish