Project Overview

Data Science Collaboratory Developer

Faculty Sponsor

Will Cipolli (




Students will work to help develop R Shiny applications that provide standard and advanced statistical procedures for humanists, natural scientists, and social scientists who are increasingly using statistical models to analyze geospatial data, social networks, and textual corpora and evaluate hypotheses about the world. These development projects will coincide with research projects with other faculty on campus who use statistics to quantify their research questions. 

Student Qualifications

Number of Student Researchers

2 students

Project Length

10 weeks

Applications open on 10/03/2023 and close on 02/28/2024

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If you have questions, please contact Karyn Belanger (