Project Overview
Data Science Collaboratory Developer
Department(s)
Mathematics
Library
Abstract
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
- R coding
- Preference for students who have taken MATH 240/MATH 354
Number of Student Researchers
2 students
Project Length
10 weeks
Applications open on 10/03/2023 and close on 02/28/2024