The Bay Area Open Science Group is a growing community for Bay Area academics and researchers interested in incorporating open science into their research, teaching, and learning. Targeting students, faculty, and staff at UCSF, Berkeley, and Stanford, the goal of the community is to increase awareness of and engagement with all things open science, including open access articles, open research data, open source software, and open educational resources. Through this work the group hopes to connect researchers with tools they can use to make the products and process of science more equitable and reproducible.
Every month the Bay Area Open Science group hosts a virtual meetup with a featured speaker from one of the three campuses who shares a project related to open science. In addition to meetups, members can ask questions and share tips, tools, and best practices via the community slack channel.
Our goal is to build an inclusive and welcoming community for everyone, regardless of their familiarity with open science. Learn more in our group participation guidelines.
The Bay Area Open Science Group meets on the 4th Tuesday of the month from 2-3 Pacific Time via Zoom.
In January we will be joined by Dr. Gabi Fragiadakis from UCSF who will discuss the development and applications of the UCSF Data Library. The Data Library is a project that aims to capture, curate, and share biological data generated on campus — enabling data search, exploration, visualization and cross-project analyses through a series of applications in available via a web browser. Dr. Fragiadakis received her Ph.D. and completed a postdoctoral fellowship at Stanford University, and joined the faculty of the UCSF’s Department of Medicine, Division of Rheumatology in 2019. She is a member of the Biomedical Sciences and Biomedical Informatics Graduate Programs, the Bakar ImmunoX Initiative, the Benioff Center for Microbiome Medicine, and the Bakar Computational Health Sciences Institute. She leads a computational immunology lab studying states of the human immune system across disease contexts using single-cell methods and data integration.
More details soon!
We welcome all participants to our events. If you need a reasonable accommodation to participate in this event because of a disability, please contact Kristen Greenland at kgreenland@stanford.edu as soon as possible
Interested in joining the group or learning about future events?
Join the discussion on Slack or email Kristen Greenland to be added to the mailing list.