EduRanker

You can find the source code at this Project Repository. Additionally, if you’d like to read about the results you can do so at this Paper Link.

Brief Description

Institutional admissions are profoundly impactful, particularly when it comes to education. From shaping students’ academic trajectories to influencing their future career opportunities, the admissions process holds immense sway over the lives of millions. Hence it is of paramount importance that such a process takes place in a fair manner and yields beneficial outcomes. Despite this, existing methods often fall short on both these axes - perpetuating disparities and limiting the potential of many talented individuals. To mitigate this issue, we present EduRanker: an interface that educates users on the inner workings of New York City’s (NYC) high school admissions process and simulates admissions outcomes. Through an application of the Gale-Shapley algorithm, EduRanker brings to light the population-level effects of student and school ranking strategies.

Overview

Developed an interactive interface that teaches students & parents about high school admissions and simulates their placement. Explored augmentations of Gale-Shapley and other matching algorithms in admissions simulations. Partnered with NYU, Politecnico di Milano, Rutgers, and NYC Hall of Science to improve NYC public high school admissions outcomes.