🍯 Milk and Honey
Discover more from Monday Morning Data Science
Welcome to the forty fourth 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
[(New!) Job Posting: Human-Centered Designer] Are you a Genevieve Bell in-the-making? Do you have experience designing socio-technical systems? The Data Science Lab is looking for a human-centered designer who can create personas, build prototypes, and lead original research studies with a focus on understanding and improving the day-to-day working experiences of biomedical data science practitioners. This position is in the Human Computer Interaction group within DaSL. Find out more about the position and apply above!
[Meet us at Posit::conf] Several members of the Data Science Lab including Amy, Ava, Candace, Carrie, Chris, Elizabeth, Howard, Monica, and Sean are all in Chicago for Posit::conf(2023). Say hello if you see us!
Our Weekly Bookmarks Bar
[Free D3 Course] If you've been on the lookout for the perfect moment to dive into custom data visualization with D3, this is it! Paul Buffa is a stellar instructor and expert in data viz development. Secure your spot in this complimentary course by registering through the link above. Mark your calendars for Sept 25 - 29!
[Talk: Programming as a tool for everyone to learn across the arts and sciences] Discover how the original vision of computer science as a democratizing force has been overshadowed by the emergence of an elite tech class. Join the talk to learn about the University of Michigan's initiative using teaspoon languages and Snap! to make computing accessible across various disciplines, complete with demos and resources for educators aiming to teach 'computing for all'.
[Essay: The Myth of Objective Data] Explore the relationship between objectivity and subjectivity in the world of data collection in Professor Melanie Feinberg's enlightening essay, 'The Myth of Objective Data'. Feinberg challenges common misconceptions, shedding light on the human biases and choices embedded within seemingly objective datasets, using compelling examples and historical insights.
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