Dear friends,

Welcome to the 45th issue of the Sunday Briefing. 

Last week we take a look at epidemic modeling strategies with a blog post: Epidemic Modeling 101: Or why your CoVID19 exponential fits are wrong. This week we continue our analysis of Epidemic models with Epidemic Modeling 102: All CoVID-19 models are wrong, but some are useful. As always you can follow along with a GitHub repository containing the respective Python code. We hope you find it useful and gladly welcome any comments you might have.

In our regular contents, this week we look Bayesian Inference, Hypothesis Testing and Physics Informed Deep Learning. In industry news, Google has released a very interesting dataset looking at how human mobility around the world is being impacted by COVID-19.

On the academic front, we look at Data Science in Economics, the Democratization of Englishes using a variety of different approaches and at a A Framework for Online Investment Algorithms.

Finally, in our video of the week Alice Zhao guides through Natural Language Processing in Python in her PyOhio tutorial from 2018.

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Semper discentes,

The D4S team