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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

Rachel Brown-Weinstock

Software:
  • MaxQDA

  • ATLAS.ti

Background: Rachel is a doctoral candidate in Sociology and Social Policy. Her research explores mechanisms that reproduce American racial and class inequality. She is especially interested in white politics and the contextual, institutional, and intergenerational socialization of racial and political ideologies. She employs qualitative methods, including ethnography, in-depth interviews, and text-analysis of historical material.

Languages:

English

Ren Mueller

Software:
  • R/R Studio

  • LaTeX (Overleaf)

Background: Ren is a Ph.D. student in the Department of Politics. He is interested primarily in American politics and political economy using a broad variety of quantitative and analytical methodology. Before coming to Princeton, he received a B.S. in Mathematics and a B.A. in Political Science from Michigan State University.

Languages:

English

Huseyin Emre Ceyhun

Software:
  • Stata

  • R/RStudio

  • Python

Background: Emre is a PhD candidate in the Department of Politics and also a fellow at the Center for Statistics and Machine Learning. Broadly, his research interests lie in comparative politics of authoritarian institutions, historical legacies, and public opinion with a focus on the Middle East and North Africa. In his research, he employs a variety of quantitative techniques, including causal inference, text-analysis and machine learning.

Languages:

English, Turkish, German