🏞 Float Trip
Just Going with the Flow
Welcome to the eighty seconds ever issue of Monday Morning Data Science from the Fred Hutch Data Science Laboratory. We are excited to show you what we have been working on (Fresh from the Lab), plus links that we think you would be interested in (Our Weekly Bookmarks Bar). Part of the purpose of this newsletter is to start conversations, so if you have a question or there is something you would like to share with us please let us know by responding directly to this email.
Fresh from the Lab
[Blog Post: Introducing WILDS! Fred Hutch’s Open Source Software Office] The WILDS initiative at Fred Hutch introduces an open-source software office focused on integrating workflows with large datasets and software tools, particularly for biomedical data science. WILDS provides resources, including validated workflows and Docker containers, to facilitate scalable and reproducible analyses, aiming to enhance collaboration and open science practices within the research community. Click the link above to learn more!
Our Weekly Bookmarks Bar
[Blog Post: Eight Basic Rules for Causal Inference] Peder Isager outlines eight fundamental rules for causal inference, explaining how causal relationships between variables can be identified and analyzed using causal graphs. These rules serve as foundational principles for understanding how different types of variables (e.g., independent, confounders, mediators, colliders) influence correlations observed in data, and how to properly adjust for them in causal analysis.
As always you can contact us by replying directly to this email, you can contact the Data Science Lab at data@fredhutch.org, or you are welcome to join us on the Fred Hutch Data Slack Workspace. For more information about the Fred Hutch Data Science Lab, visit our website: https://hutchdatascience.org/. See you next week!
- The Fred Hutch Data Science Laboratory