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Bay Area Open Science Group - SciHub and ChatGPT
Join the Bay Area Open Science Group this month for an informal conversation about “open” information focusing on ChatGPT and SciHub. What do these tools have in common? What do they say about the future of scientific information access and open science?
Here is what ChatGPt has to say on the topic:
Looking for reliable scientific information? Look no further than ChatGPT and SciHub! ChatGPT is an advanced language model that can answer your scientific questions quickly and accurately. Whether you're a researcher, student, or just curious about the world around you, ChatGPT has got you covered. On the other hand, SciHub is a platform that provides free access to scientific papers and articles that are otherwise hidden behind paywalls. With over 80 million papers available, SciHub is a treasure trove of information that can help you stay up-to-date on the latest scientific research. So whether you prefer asking questions or reading articles, ChatGPT and SciHub are the perfect combination for anyone seeking reliable scientific information.
What do you think about ChatGPT’s enthusiastic boosterism? Do you consider ChatGPT and SciHub to be the “perfect combination for anyone seeking reliable scientific information?” Join the conversation and let us know!
Recommended Pre-listen: https://radiolab.org/podcast/library-alexandra
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, Jun 27 2023
- Time:
- 2:00pm - 3:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Campus:
- Online
- Categories:
- Data Science Scholarly Communication ZSFG