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