Alberta Innovates, together with Cybera, are holding a virtual open data science hackathon from April 10 to May 15. The goal is to: 1. Build data driven insights into "flattening the curve" of COVID-19 infections 2. Map the eventual economic recovery This online, sprint-like event will see data scientists, economists, students, and everyday citizens collaborate on a data science project specific to Alberta or Canada. This is about providing a better understanding of the story through data! Participants will collect and curate worldwide open data, and refine, transform, and link that data to provide visualizations, utilizing the Alberta Data Institute's data analytics platform. Ideally, these visualizations will assist health researchers with an understanding on how our efforts are working to “flatten the curve,” and/or provide leaders with a data-driven context for economic recovery for Alberta and Canada.
Welcome to Alberta Innovates/Cybera Flatten the Curve and Economic Recovery Data Science Sparkboard! - The Sparkboard is a tool for all hackathon participants in organizing interdisciplinary teams .
What problem would you like to solve? See what other people are working on, join a project, or create your own.
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Rules & Sparkboard Instructions
Check out our event rules, and tips on how to use Sparkboard.
#7
#16 RO
#19 Economic recovery dashboard
#18 Empowering decision makers with assessing the impact of their actions
#4 Hack Covid
#12 Share and Care Associates
#21 Using sentiment analysis on social media to see how Canadians are feeling as isolation and COVID-19 progresses
#28 Modelling the Spread of COVID-19 as a Function of Regional Features
Youreka Data Science
Hackathon Steps to Complete & Resources
How to participate in this virtual hackathon
#6 Application of a spatial stochastic SEIRD model to track the spread of COVID-19 in Alberta, Canada
Looking For
  • Real-time data
  • Incidence and death data
  • Geocoded data
  • Dashboard
#15 Data Science meets Epidemiology: Improved Uncertainty Quantification and Visualization for COVID-19'
The aim of this project is to look at a hybrid predictive model that combines machine learning based approaches with approaches rooted in epidemiology. The predicted results and the associated uncerta...
#20
#27 Drive Data
Looking For
  • johnrrunciman@gmail.com
  • henry@showbie.com
#29 Delete
    #9 Logistic Curve COVID Models
    Can the simple logistic curve, proven to work in many cases, and demonstrably good for countries having passed the COVID peak, be used to predict Canada's case and death curves?
    Looking For
    • Mathematically skilled collaborators
    #25 Team Innovate
    #23 Network analysis of COVID-19 spread
    #10
    #22
    #26
    #13 Zhenguo Qiu, Li Huang, Katya Chudnovsky please join
    #11 Apart
    #24 Team Innovate