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Bay Area Open Science Group - A checklist to guide sensitivity analyses and replications of impact evaluations Online
This month, the Bay Area Open Science Group will be joined by Tomiko Oskotsky, a physician-scientist in the Sirota Lab at the Bakar Computational Health Sciences Institute, UCSF. She earned her B.S. in Biochemistry from UCLA and her M.D. from the Medical College of Wisconsin, where she was elected to the Alpha Omega Alpha (AOA) National Medical Honor Society. Her research involves interrogating diverse datasets, including electronic health records, to better understand human health and disease. Her leadership roles include co-leading the March of Dimes preterm birth research data repository and directing the UCSF AI4ALL program, which teaches AI to underrepresented youth.
This talk will be centered around the development and administration of a March of Dimes-funded public data-sharing repository for preterm birth research, emphasizing its role in promoting open science and collaboration. She will discuss the organization of a DREAM crowdsourcing challenge that leveraging data from this repository and other publicly available datasets with the goal of predicting preterm risk among expectant individuals. The session will demonstrate how open data initiatives can accelerate discovery in preterm birth.
The Bay Area Open Science Group is intended to bring together students, faculty, and staff from the Stanford, UCSF, and Berkeley community to learn about open science, discuss the application of open science practices in a research context, and meet other members of the community who are interested in (or already are) incorporating open science practices into their work. Learn more about the group and connect with us on our website.
Register for this event via Zoom
Related LibGuide: Reproducible Data Management by Ariel Deardorff
- Date:
- Tuesday, Feb 25 2025
- Time:
- 2:00pm - 3:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Campus:
- Online
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- Data Science Scholarly Communication