Bay Area Open Science Group

About

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.

Meetings

The Bay Area Open Science Group meets on the 4th Tuesday of the month from 2-3 Pacific Time via Zoom.

Upcoming Meetings

February 24, 2026, 2-3 PM - Zoom Registration

Developing open source air quality datasets for public health policy action with Ayako Kawano (Stanford)

In February we will be joined by Ayako Kawano, a PhD candidate in the Emmett Interdisciplinary Program in Environment and Resources at Stanford. Ayako’s research examines the impact of air pollution on population health and climate change in low- and middle-income countries using remote sensing data and machine learning methods. Ayako recently won the Stanford University Libraries Data Sharing Prize for her work publishing a long-term dataset of fine particulate matter concentrations in India, which has been used to inform public health programs and policy as well as used in further research projects.

March 2026 - TBD

Past Meetings

Accessibility

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

Contact

Conveners

Ariel Deardorff is the Director of Data Science & Open Scholarship at the UCSF Library. In her role she leads a team focused on empowering researchers to engage with open research and reproducible data-driven science. Ariel is also an open science advocate who performs research on the role of the Library in enabling open and reproducible research.
Eileen Chen is an Education and Research Librarian at UCSF. She offers support with literature searching, data management, and open access publishing.
Kristen Greenland is the Biology Librarian at Stanford University. She connects researchers with resources from the library and provides individual and classroom-based instruction on the research process in biology.
Sam Teplitzky is the Open Science Librarian at the University of California, Berkeley. She works on open science, data and code reproducibility, transparency in research workflows, and community building in STEM.

Join Us!

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.