Community Studios
DaSL Community Studios are events designed to catalyze community and conversations around shared workflows and interests in biomedical data science topics. They are spaces where folks from across Fred Hutch and the Cancer Consortium can meet to see new methods and ways of working, to share their own insights into their work, and to get constructive feedback about how they could improve their computing work.
In Community Studios we hold closely the belief that we are all on the same team. Even though you may be the only computing or data science practitioner in your working group, we are committed to creating an environment where all feel welcome to share their experiences. This way, despite the challenges we face in our work, we can all learn from each other and improve our skills.
DaSL employees will moderate, attend, and occasionally present on topics in the Community Studios.
Community Studios Mission Statement
The Mission of DaSL Community Studios is to provide a psychologically safe, professional environment to co-learn topics in biomedical data science and to share and apply this knowledge together across groups at Fred Hutch.
Community Studio Values:
- Research doesn’t need to be lonely. We learn and work best with our peers.
- The ways that data impacts our work at Fred Hutch are wide and varied. There is no one right way, but there are best practices we can aspire to.
- Sharing knowledge in public is important. Together, our collective knowledge can help us all improve how we work. Everyone knows something that could help someone else in our community.
- Asking questions is a way of taking care of our peers. They often may have the same questions, but might be reluctant to ask them.
Participation Guidelines
Please be aware that all Community Studio events adhere to the Community Studio Participation Guidelines. This is to make a safe space for all.
Interested? Join us!
Join the FH Data Slack and the following channels for the ongoing discussion.
- #sci-soft-studio
- #research-informatics-studio
and join our mailing list by emailing Sana Hirata (hiratas@fredhutch.org).
Community Studio Topics
Community studios are roughly organized by topic. However, there’s a lot of overlap between them, so if a topic sounds interesting, please come!
Scientific Software Development
We focus on building, sharing, and publishing scientific software.
Research Informatics
We focus on topics in Research Informatics, especially high performance computing (HPC). No matter what you do on HPC (use Rstudio/JuptyerLab, run jobs on SLURM, use WDL to execute workflows) we want you to attend!
Schedule for Community Studios
Research Informatics Community Studios
This is the Season 1 - Spring 2024 schedule (3/28-5/30) for the Research Informatics Community Studios. These events are Hybrid on Zoom. The DaSL Lounge (M1-B406) will be reserved during these times if you want to attend in person. If you want to participate, you will need to bring a laptop to work on the Google Doc together.
All RSVP links go to a Zoom registration page for that specific event. If you prefer, you can also add the event through the CenterNet link. Notes links will be posted day after the the event.
Date | Time | RSVP | CenterNet Link (FH Only) | Community Notes |
---|---|---|---|---|
March 28, 2024 | 12:30 PM | RSVP | CenterNet | Session Notes |
April 4, 2024 | 1 PM PDT | RSVP | CenterNet | Session Notes |
April 18, 2024 | 12:30 PM PDT | RSVP here | CenterNet | Session Notes |
May 2, 2024 | 12:30 PM PDT | RSVP here | CenterNet | Posted after Session |
May 16, 2024 | 12:30 PM PDT | RSVP here | CenterNet | Posted after Session |
May 30, 2024 | 12:30 PM PDT | RSVP here | CenterNet | Posted after Session |
Resources
The Data Science Lab offers some training courses that will be helpful to you wherever you are in your computational journey. There are also links to other great online sources for learning.
For more info about registering for courses, please go here.
- Command-line 101 course - Data Science Lab course
- Cluster 101 course - Data Science Lab course
- Introduction to Git/GitHub - Data Science Lab course
- The Missing Semester of your CS Education - free video course from MIT with lots of useful computing topics: