2023 Spring Columbia Data Science Hackathon
About
The Columbia Data Science Society is proud to host its eighth annual Columbia Data Science Hackathon. Come work with novel datasets, engage with sponsors, and present your findings to a panel of judges from academia and the industry! This hackathon is open to all Columbia students, though prior experience with data science or computer programming is recommended.
The Hackathon will run from 9:00 am to 10:00 pm on Saturday, February 11th.
Further information, as well as the submission portal, can be found on Devpost.
Sponsors
Hudson river trading
Patient safety technology challenge
Wolfram research
IEOR
dsi
CS@CU
Where
Lerner Auditorium
Opening Ceremony:
Presentations and Closing: |
WhenSaturday, February 11, 2023 |
Opening Ceremony
Attend the Opening Ceremony from 9:00-9:30 am for a full welcome.
Welcome to the 8th annual Data Science Hackathon!
2023 Hackathon Winners
NIST-MST Data Privacy
Grand Winner
Team Members: Shubham Kaushal, Fred Cunningham, Daniel Young
Prevent reconstruction attacks on our dataset using the NIST-MST method and the ε - differential privacy standard.
Boosting patient Safety
Patient Safety Track Winner
Team Members: Sai Rithvik Kanakamedala, Saili Myana, Shreya Oak, Vedangi Wagh
Understanding the reasons for adverse drug reactions is crucial for patient safety and it motivated us to work on developing a solution for this problem.
Gaming Track Winner
Team Members: Elvin Ko, Chrstine Lam, Kevin Ma, Max Zhang
Identify if there are any anomalies in the Genshin Impact user wishing data, which point to non-disclosed features.
ML for Differential Privacy
Popular Choice Award
Team Members: Prahlad Koratamaddi, Prateek Jain, Suchit Sahoo, Nikhil Balwani
To analyze an existing differential privacy scheme called the Laplacian Mechanism. To explore novel approaches to make categorical variables differentially private.
