Welcome to the eightieth 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
[Software Release: PROOF v1.0] After four months of user feedback and development, a new version of DaSL’s PROOF (PRoduction On-ramp for Optimization and Feasibility) has been released! This release introduces multiple new features including GPU computing and S3 capabilities. It also provides critical fixes to issues that have come up throughout development, resulting in a more robust and efficient user interface. For more details on the exact updates, see the v1.0 release notes in the title link above, or to try out these new features for yourself, visit proof.fredhutch.org to take PROOF v1.0 for a spin!
[EXTENDED Funding Opportunity: 2024 TDS IRC Data Scientist Collaboration] The 2024 TDS IRC Data Scientist Collaboration aims to fund projects at Fred Hutch that require significant computational or data science expertise. This initiative, a collaboration between the Translational Data Science Integrated Research Center (TDS IRC) and the Data Science Lab (DaSL), offers support in the areas of Translational Analytics, Research Informatics, and Human Computer Interaction. Applications are due by July 15, 2024, and should include a cover sheet, research proposal, and budget details. Click the link above for more information.
Our Weekly Bookmarks Bar
[NIH Symposium on Sex, Gender, and Genomics] This event brings together experts from the biological and social sciences to clarify and contextualize – but not resolve - the complexities around sex, gender, and genomics by considering them in their scientific, ethical, and historical contexts. These interdisciplinary conversations will aid scientists, policymakers, and the public in understanding the many dimensions of sex and sex characteristics and their relationships with gender.
As always you can contact us by replying directly to this email, you can contact the Data Science Lab 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