Have you found yourself wondering how you can play a part in combating COVID-19 recently, all from the comforts of your home? Ponder no more! In response to the current events, the University of Washington’s MSDS students and alumni proudly present the first ever online Data Science Hackathon, sponsored by UW MSDS. Come join us and help the efforts of the open source community and ongoing research by putting your Data Science caps on!
When and where?
June 13th and 14th, 2020.
This is a virtual event. Teams will work together throughout the 2-day event using tools such as Github, Zoom, and Slack.
Online zoom meeting ID: 940 8345 1381
Zoom link: https://washington.zoom.us/j/94083451381
Steps to participate in the hackathon
- Register here
- You will receive an email to join the hackathon’s slack workspace. Teams will be formed organically through conversations in this workspace.
Registrations open until 5:00 pm PST on 12th June.
In the spirit of open ended research and creativity, you may bring datasets of your interest as long as they are publicly available. Here are a few that we think might be interesting -
- Intro to NLP by Grishma Jena, Data Scientist at IBM
- Intro to Time-series by Stanislav Panev, Project Scientist at CMU
- Best Data-Science Process/Storytelling
- Best Prediction Model
- Best Interactive Visualization/Dashboard
Prizes upto $1500 to be won!!
- Anna Talman Rapp, Program Officer at Bill & Melinda Gates Foundation
- Duncan Wadsworth, Data Scientist at Microsoft
- Tim Randolph, Associate Member at Fred Hutchinson Cancer Research Center
- Ying Li, Chief Scientist at Giving Tech Labs
- You can participate either individually or in teams of 2-4 members.
- One person cannot participate in more than one team.
- Each team can only make one submission as a single github link. All contents of submission should be within the repository.
Submissions should be in the form of a link to the github repository containing all submission files including a README and a short presentation focussing on insights and take-aways of the project.
Best Data-Science Process/Storytelling
|Clear hypotheses and assumptions||20|
|Exploratory Data Analysis||20|
Best Prediction Model
|Problem setup and metric definition||20|
|Quality of features||20|
|Explanation of choice of model||20|
|Explainability and model interpretation||20|
Best Interactive Visualization/Dashboard
|Simplicity and ease of navigation||20|
|Choice of encodings and colors||20|
|Ease of understanding||20|
|Impact and take-aways||20|
Day 1 (Saturday June 13th):
- 10:00 am - 11:00 am: Event kickoff
- 11:00 am - 12:00 pm: Intro to NLP (optional)
- 12:00 pm - 12:45 pm: Intro to Time-Series (optional)
- 5:00 pm: Virtual dinner and dialogue
Day 2 (Sunday June 14th):
- 10.30 am: Check-in
- 1:30 pm: Submission deadline
- 5:30 pm: Award ceremony and closing
All times are Pacific Standard Time
Sepideh(Sepi) Dibay: firstname.lastname@example.org
Deepthi Hegde: email@example.com
Please contact us if you have any questions regarding this event.
Hackathon Project Repositories
- COVID Ninjas
- Kush Tekriwal
- Mansi Rathod
- Ankita Pal
- Vikas Kini
- Java’s Just Coffee
- Apoorv Sharma
- Sai Muktevi
- Juhi Choubey
- Sandeep Tiwari
- Vishwa Pardeshi
- Varun Nair
- Emma Lanier
- Tommy Chen
- Wanyu Guan
- Weekend Warriors
- Himanshu Chandra
- Taufeeq Rahmani
- Samarth Raizada
- Yanran Cui
- Yanran Cui
- Liem Luong
- Liem Luong
- MASC off
- Marc Mascarenhas
- Aaron Alphonsus
- Shashwati Shradha
- Chang Xu
- Xiaolu Qian
- Jeffrey Lai
- Jiyu Wang
- Mayur Gupta
- Harini Ram Prasad
- Preetham Paul
- the unpredictables
- Sam Sarmad
- Andrew Zhou
- Nalani Chun
- The Doctors
- Vishwas Uppoor
- Sumit Banik