September 6, 2020

Dear friends,

Welcome to the Labour day weekend issue of the Sunday Briefing.

The latest post in the Causality series is now out. This week we continue our exploration of Graph motifs by analyzing Colliders. As always, all the relevant code can be found in GitHub. You can also checkout the latest in the Epidemic Modeling series where we go over the basics of Network Structure, Superspreaders and Contact Tracing.

In our regularly scheduled content, we consider Thinking in Causal Graphs, some Unusual maps and AI can Read and Visualize our thoughts.

On the academic front, we ponder the unreasonable effectiveness of deep learning in artificial intelligence, how Statistical prediction of the future impairs episodic encoding of the present and take a deep dive into various definition of algorithmic Algorithmic Fairness and Machine Implemented Ethics.

Finaly, in the video of the week, William Fiset from Google guides us through an in-depth overview of Graph Algorithms.

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Semper discentes,

The D4S Team