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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 Dr. Fabio Ciulla, a postdoctoral research fellow in the Climate and Ecosystem Division at Lawrence Berkeley National Laboratory. He earned his M.S. degrees in Physics from the University of Rome La Sapienza and completed his Ph.D. at Northeastern University in Boston, focusing on nonlinear dynamics of diffusive phenomena on geographical networks. At Berkeley Lab, his research includes developing data-driven models to predict water quality and leveraging state-of-the-art machine learning algorithms to detect undocumented legacy oil and gas wells across the United States.
Undocumented Orphaned Wells (UOWs) in the U.S. pose environmental risks, including methane leaks and groundwater contamination. This study used historical topographic maps, available as open-source data from USGS, and a U-Net computer vision model to detect well symbols in the maps and flag UOWs when there is no match among known wells. Applied to areas in California and Oklahoma, it revealed 1,301 potential UOWs with high spatial accuracy.
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, Jan 28 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