2020 Columbia Data Science Hackathon
About
The Columbia Data Science Society is proud to host the sixth annual Columbia Data Science Hackathon, and the first virtual CDSS hackathon. The world has been shocked by COVID-19, so join us in the chance to work with COVID data and understand how the world is coping and how we can move forward. The hackathon allows your team to work with the datasets, present your findings to judges from the New York City Data Science Academy, and engage with our sponsors. This hackathon is open to students from all schools, though we recommend some experience with data analysis or computer programming. Please note that there will be a virtual kickoff meeting on Saturday evening and presentations followed by closing remarks on Sunday morning. From the kickoff, until 9:00 am Sunday morning, you are free to work on your presentation with your team, and we will have a forum setup for questions you have. Whether you want to build your portfolio or just learn how a hackathon works, we welcome anyone who wants to join. Happy hacking!
Sponsors
Two Sigma
NYC Data Science Academy
Where
Opening Ceremony:
Presentations and Closing: |
WhenSaturday, September 19, 2020 |
Opening Presentation Slides
Welcome to the 6th annual Data Science Hackathon!
Click for slides
2020 Hackathon Winners
Lemon Lin Reimer
1st Place
Team Members: Ranqing (Ellen) Lan, Bolim (Sydney) Son, Changwei (Wendy) Wang, Elliot Tran
Modeled the reopening of schools around the globe as a function of mobility and government action
Team Siege Lion
2nd Place
Team Members: Kelvin Jiang, Lilian Yang, Ran Cao
Modeled the impact of COVID-19 on different industries by predicting their performance in the absence of COVID-19
Team Bagel Inc.
3rd Place
Team Members: Laura Wang, Danrong Li
Predicted daily mobility as a function of previous mobility changes, previous confirmed cases, and day of the week, and tested the efficacy of twitter sentiments as a predictor
Changes in Travel Mobility Caused by COVID-19 Pandemic
Honorable Mention: Visualization
Team Members: Nan Tang, Liyuan Tang, Tianqi Lou, Chenxi Di
Examined the rate of mobility change across different regions as the pandemic progressed
COVID-19: Terrifying or Not?
Honorable Mention: Exploratory Data Analysis
Team Members: Guotian Zhu, Haichao Yi, Kenny Jin, Mingyan Zou, Wenjun Chen
Examined the effect of government policy changes on mobility across industries
2019 Hackathon Winners
The Night-Watch
1st Place
Team Members: Yinqing Liang, Lingrui Luo, Yinhe Lu, Xinyuan He
Visualized and modeled average daily traffic to grocery stores based on household and community features.
Lumos
2nd Place
Team Members: Hariz Johnson, Samrat Halder, Pritam Biswas, Jake Stamwell
Identified optimal locations for new store openings for grocery store chains based on existing stores and local income.
Oscar
3rd Place
Team Members: Kevin Christian Wibisono, Jonathan Irvin Santoso, Marsya Chairuna, Daniel Oscar Baskoro
Clustered store locations based on features of their customers, identified two major types of stores as a focus for chain expansion
