🏞️ Coast to Coast
Welcome to the twenty sixth 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
[Data House Calls] Given the diversity of topics folks have brought to Data House Calls, and DaSL’s desire to meet people where they are at (in a hybrid and time-aware sort of way), we've shifted the format to ensure that everyone has some focused time to discuss their specific questions. If you have questions about anything data-related, from here on out you can, at any time, schedule a Data House Call via the link above.
Our Weekly Bookmarks Bar
[Blog Post: When is complete case analysis unbiased?] Explore friend of the lab Lucy D'Agostino McGowan's deep dive into complete case analysis and missing data in prediction models. Uncover surprising scenarios where unbiased results are still achievable, and learn when imputation may not be your only or best choice.
[Datatudes Podcast: Generative AI and its Ethics] Join Carrie Wright, Elizabeth Humphries, and MJ Wu for the second episode of Datatudes: this week they unravel the complexities of Generative AI and grapple with the profound ethical considerations it brings to the forefront.
[Blog Post: Dystopian Edtech and the Future of Software Supply Chain Security] Friend of the lab Erin Glass writes about her analysis of the intersection of dystopian edtech and software supply chain security, delving into the need for greater user visibility and agency in software systems. Learn how transforming the approach to edtech can not only enhance learning experiences but also fortify our security, setting the stage for a culture of informed decisions and tech freedom.
As always you can contact us by replying directly to this email, you can email Jeff Leek, Amy Paguirigan, and Sean Kross at email@example.com, 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