👑 C'est la vie
There's so many good ones still around
Welcome to the one hundred and fourteenth 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
[Learning Opportunity: Environmental Health Short Course] Applications are open for the NIEHS-funded Data Science for Environmental Health (DaSEH) short course, featuring an online R programming component (June 8–12 & 15–18) and an in-person codeathon (June 29–July 1) at the Fred Hutch campus in Seattle, with some travel stipends available. Participants will learn to apply data science to environmental health challenges, and applications are due by March 15, 2026.
Our Weekly Bookmarks Bar
[Short Podcast: How Scientists are Using AI from NPR] Friend of the lab Steven Salzberg argues that many AI tools in science, such as Google DeepMind’s AlphaGenome, seem more focused on showcasing AI’s capabilities than genuinely solving important scientific problems, and he found the tool difficult to use despite the real breakthrough of AlphaFold 2. He warns that AI is encouraging researchers to chase problems that fit the technology, and emphasizes that scientists must prioritize meaningful questions rather than letting AI dictate the research agenda.
[Conference Travel Funding Opportunity: posit::conf(2026)] Posit is offering 40 Opportunity Scholarships to support individuals from groups traditionally underrepresented in data science and open-source communities to attend posit::conf(2026) in Houston, covering registration, a workshop, four hotel nights, travel reimbursement, and other benefits. Applications close March 20, decisions will be announced by mid-April, and the conference will take place September 14–16, 2026.
As always you can contact us by replying directly to this email, or if you work within the Fred Hutch/University of Washington/Seattle Children’s Cancer Consortium 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 in two weeks!
- The Fred Hutch Data Science Laboratory