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Bay Area Open Science Group - Open Science and Health Policy: Forward Progress or Complete Chaos? Online
This month, the Bay Area Open Science Group will feature Kathryn Phillips, PhD, Professor of Health Economics and Health Services Research at UCSF, in a conversation on open science and health policy. Although the move towards open science – including data sharing and open access publication – continues, these efforts must now consider the changing policy environment. Kathryn will lead a discussion on open science and health policy with topics to include evolving trends in open science, particularly open access publication, and how these trends might be impacted by the changing policy environment.
Kathryn will bring her perspectives as both a researcher and Editor-in-Chief of an open access journal. Her thoughts will be informed by her 2024 publication on open access, her upcoming participation in the National Academy of Sciences Journal Summit, and an upcoming one-month residency at the Brocher Foundation (Geneva) to focus on open access publication globally.
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.
Register for this event via Zoom
Related LibGuide: Reproducible Data Management by Ariel Deardorff
- Date:
- Tuesday, Apr 22 2025
- Time:
- 2:00pm - 3:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Campus:
- Online
- Online:
- This is an online event.
- Event URL:
- https://ucsf.zoom.us/meeting/register/ZlyvBK7KTh-nxdxjBze6Vg
- Categories:
- Data Science Scholarly Communication
