⛄️ AI Winter Wonderland
We asked ChatGPT to write this newsletter
Welcome to the 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
[Event: Effective Computing User Group] Monday 11/28 at 12pm the Effective Computing user group will meet again (they meet every other week). The focus is on learning about how to scale up your computing work from your laptop to whatever scale meets your needs. This group is hosted by the Fred Hutch DaSL in collaboration with the Hutch Data Core and Scientific Computing. We’ll be meeting in room M1-B612 and here on Teams.
[Event: Fred Hutch R User Group] Tuesday 12/6 the monthly R User group will be meeting in person in M2-B102 and here on Teams. This week Sean Kross will be talking about loops and other ways of iterating over data. If you would like to talk about an R subject that you are interested please let Sean know so that the data science lab can support you!
[Event: Data House Calls] Wednesday 12/7 at 10am we’ll have our weekly Data House Calls drop in hour in Steam Plant (in the open conference room space behind the coffee machine on the south side of the 2nd floor) and on Teams. Drop by to talk about needed support for data challenges, coding challenges, computing questions, data management, etc. If the DaSL team can’t help you, they will be able to ping several other folks with different skill sets (including SciComp, the DaSL training group, the Hutch Data Core, etc) and get the right connections for you.
[Training: Evaluating WDL 101] On 11/28 we kicked off a training evaluation of WDL 101: Running WDL workflows at Fred Hutch using Cromwell. If you’d like to join, you can do so any time before 12/9 and learn/provide your feedback join us over in #ask-dasl The window for this round of feedback/support is 2 weeks and the course should only take 30-45 minutes if you know how to get on Rhino already. You could save way more time than that day to day by learning how to integrate this tool into managing your computational work on the cluster.
Our Weekly Bookmarks Bar
[ChatGPT (Obviously)] OpenAI’s newest GPT model and interface launched and is all over our internet feeds. Some of our favorite prompts and responses include:
[Congratulations Brian Caffo] for winning the L. Adrienne Cupples Award for Excellence in Teaching, Research, and Service in Biostatistics!
As always you can contact us by replying directly to this email, you can email Jeff Leek, Amy Paguirigan, and Sean Kross at firstname.lastname@example.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