The Data Science for Social Good summer program trains aspiring researchers to work on data science projects with social impact. Working closely with governments and nonprofits, participants take on real-world problems in education, health, energy, public safety, transportation, economic development, international development, and more. Participants include a diverse and inclusive cohort of students who spend the summer on campus working with the program.
This sixth summer of the Stanford Data Science for Social Good (DSSG) program ran from June 24th to August 30th, 2024.
Projects this year included:
1) Machine Learning-Augmented Prediction for Labor Exploitation Detection
2) Free to Feed: Food Reactivity in Children
Participants included Enkhjin Munkhbayar, Kyler Shu, Leon Reilly, Sean Nesamoney, Amira Mahmedjan.
The program was led by Shilaan Alzahawi, PhD Candidate, Annie K. Lamar, PhD, and Balasubramanian Narasimhan (faculty advisor).