Teaching and Learning via Undergraduate Research: Notes from the Harvard Forestry Data Science Lab

Kelly McConville Co-Author
Harvard University
 
Grayson White First Author
 
Grayson White Presenting Author
 
Tuesday, Aug 6: 9:55 AM - 10:00 AM
3097 
Contributed Speed 
Oregon Convention Center 

The Harvard Undergraduate Forestry Data Science Lab (UFDS), in collaboration with the US Forest Service, provides undergraduates the opportunity to learn and apply statistical and data science skills to real-world research projects. The ten-week UFDS summer program provides collaborative research experiences that focus on: working with peers from different backgrounds, project stakeholders, and Forest Service Research Scientists; presenting science to technical and non-technical audiences; developing data science skills such as data visualization, model diagnostics, data wrangling, and code reviews; and reading and writing scientific documents and articles. This talk provides an overview of the training program, lessons learned about providing meaningful and impactful learning experiences to undergraduate students in data science, working withn undergraduates with diverse backgrounds and skills, and building environments in which students can strengthen their identity and confidence as a statistician, data scientist, and human.

Keywords

undergraduate research

collaboration

sense of belonging

code reviews

small area estimation

survey statistics 

Main Sponsor

Section on Statistics and Data Science Education