2023 Fall Columbia Data Science Datathon

About

The Columbia Data Science Society is proud to host its ninth 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 begin October 7, 2023.

More information on our Devpost submission portal. Submissions due 10:00am, October 8. Hackathon deliverables guide can be found here.


Sponsors

Hudson River Trading

prhi PATIENT SAFETY TECHNOLOGY CHALLENGE

Google Cloud


Where

Lerner Auditorium
2920 Broadway, New York, NY 10027

When

Start: Saturday, October 7, 2023 12:30 pm
End: Sunday, October 8, 2023 2:00 pm


2023 Fall Datathon Winners

Decoding Devices

Patient Safety Track Winner

Team Members: Nikhil Reddy Varimalla, Arusarka Bose

We aimed to provide valuable information to patients, manufacturers, and hospitals, helping them analyze and address critical issues before they become problems.

Top NYC Schools

Education Track Winner

Team Members: Tianqi Liu, Yalong Zhang, Wenjie Bi

We aim to rank NYC's elementary schools based on a comprehensive set of factors, including students' test scores, attendance, safety, and more.

Bayes Eco-Fit

Environment Track Winner

Team Members: Alex Friedman, Pinqiao Wang, Eva Sharman, Geonhee Han

It is crucial to accurately spot energy inefficiency at a local building level in a time- and cost-economical manner. We provide a framework for practitioners to easily identify these targets.

Dynamic Pricing for New York Subway Fares

HRT Track Award

Team Members: Nghia Tri Nim, Cheryl Yan, Anik Dey, Tengyu Song

Revolutionizing NYC's MTA with dynamic pricing: smoother rides by spreading demand and boosting revenue. Making commutes efficient and comfortable for all.

Piercing Manhattan Skyline Responsibly

Popular Choice Award

Team Members: Jiawen Sim, Layanne El Assaad, Nicholas Ding Yang Choong, Tawab Safi

We use data collected in the implementation of the 'Greener, Greater Buildings Plan' laws to analyse the compliance of existing and upcoming buildings to building emissions caps.

Organized By