- Undergraduate
- Research
- About the Program
- News & Events
- People
Back to Top Nav
Back to Top Nav
Back to Top Nav
On March 6, 2023, students in QSS 20, Modern Statistical Computing, a core class in the Program in Quantitative Social Science, presented their final projects. Each group of students in the course selected a data source to investigate, developed a focused research question, and carried out a scientific analysis that applied the programming skills developed through a quarter of dynamic, hands-on learning.
These are the student groups and their research topics:
Topics |
Student Names |
SIP: Medical training |
Emma Elsbecker |
Sabin Hart |
|
Alexandra Ma |
|
Spencer Allen |
|
SIP: Medical training |
Akshay Kelshiker |
Shawn Yoon |
|
Jeremy Rodriguez |
|
Edgar Ozuzun |
|
SIP: SIRS |
Mei Xu |
Chloe Terestchenko |
|
John D'avanzo |
|
Ryan Wu |
|
SIP: SIRS |
Aimen Abdulaziz |
Bernardo Burnes Garza |
|
Esmeralda Abreu-Jerez |
|
Charles Knight |
|
SIP: SIRS |
Leyla Jacoby |
Jessica Wang |
|
Isabel Pantle |
|
Keren Luo |
|
Independent project: Undergraduate religiosity @ Dartmouth |
William Bryant |
Independent project: Education finance |
Alexander Craig |
Aaron Xie |
|
Felony sentencing data |
Samson ODonnell |
Samuel Winchester |
|
Adin McAuliffe |
|
Jordan Miller |
SIP: Social Impact Practicum
SIRS: START Information Reporting System