The Vaccine Data Challenge has finished and winners have been declared. Thank you very much to everyone who participated!
- Carrie Tam, Benjamin Fox, and Margaret Morehead
- Namrata Ray, Sanjna Ray, and Sach Nehal
- Justin Miller and Paxton Howard
- Jigesh Maurya, Abhinav Shah, and Monika Pawar
- Roger Meng
- Visualize where virus hotspots and distribution centers are
- Visualize or Analyze vaccine distribution policies and its effect on cases/mortality rate
- Suggest how vaccine distribution can be improved in the US to combat COVID-19 and how impactful your solution will be
Your final submission will be in the form of an 8 minute video, two-paragraph abstract on your findings, and all visualizations used (pdfs, notebooks, etc.). In the video, you should present your visualizations, analysis, and your plan on how to improve COVID-19 vaccine distribution. Be sure to quantify the impact that your plan will have on vaccine distribution and mortality/infection rates
- https://www.cdc.gov/nchs/covid19/index.htm under ‘Access Dataset on Data.CDC.gov’
Note: Starter Datasets – participants are allowed to use any public dataset they can find.
- 1st place: $300
- 2nd place: $200
- 3rd place: $100
Undergraduates and Graduates will be judged and receive awards in separate groups, meaning there will be 6 awards total.
How to win?
- Problem Addressed – does the project accurately and understandably convey COVID-19’s prevalence and the impact of vaccine distribution centers
- Creativity – does the project educate the viewer through unique and engaging displays?
- Usefulness- does the project allow for viewers to obtain novel and impactful insights?
- Learning – is the methodology well explained such that the project can be reproduced?
- Originality- does the team go beyond the “out of the box” options that the project framework provides? Is the information presented in a new or uncommon but effective form?