Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting

@article{Yu2021SevenPF,
  title={Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting},
  author={Bin Yu and Chandan Singh},
  journal={Statistical Science},
  year={2021}
}
In this article, we take a step back to distill seven principles out of our experience in the spring of 2020, when our 12-person rapid-response team used skills of data science and beyond to help distribute Covid PPE. This process included tapping into domain knowledge of epidemiology and medical logistics chains, curating a relevant data repository, developing models for short-term county-level death forecasting in the US, and building a website for sharing visualization (an automated AI… 

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