Good morning!
Welcome to the third 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
[Recruiting: WDL and Cromwell at Fred Hutch] Do you often work with the high performance computing infrastructure at Fred Hutch? Do you find yourself submitting and managing computing jobs manually? If so, we would love to include you in a user group for a new course we are developing about managing computing pipelines with WDL and Cromwell. Contact Amy (apaguiri@fredhutch.org) if you are interested.
[Event: Fred Hutch R User Group] On Tuesday at 1pm in Arnold M2-B102 there will be R Office Hours hosted by the Fred Hutch R User Group. If you have R questions or challenges, you want to show something off, you are totally new to R or an R scholar, please come hang out, and meet other R users at Fred Hutch. You can find the Teams link in the event linked above.
[Event: Data House Calls (Wednesday in Arnold)] The Data Science Lab team will be on the first floor of the Arnold building for our weekly consultation hour. Please drop by and talk to us about support for data challenges, coding challenges, computing questions, data management, and more. You can join on Teams too, again the Teams link is in the event linked above.
Our Weekly Bookmarks Bar
[Blog Post: How I Learn Machine Learning] Vicki Boykis (the creator and organizer of Normconf) give always-practical advice about how she keeps up with new machine learning technologies.
[Report: We’re not Ready for Biology’s Century] From the always interested STAT News: an argument for why we are not prepared for the next wave of biotech innovation, and the risk that recent biotech innovations culminate in a whimper, rather than a bang.
[Video: Room for Not Knowing] Amelia McNamara reminded us of a fantastic OpenVisConf talk by Amanda Cox, formerly of the New York Times, about her perspective on data visualization.
[Manuscript: Subtractive Change is Underrated] Building things and adding new functionality are often seen as positive developments, however this new manuscript in Nature suggests that subtractive changes can oftentimes be beneficial in ways that are often overlooked.
As always you can contact us by replying directly to this email, you can email Jeff Leek, Amy Paguirigan, and Sean Kross 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