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Bay Area Open Science Group

Map of the San Francisco Bay Area with text BAOSG and an icon of a microscope at the bottomJoin 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 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 here for the June 27, 2023 session.

Date:
Tuesday, June 27, 2023
Time:
2:00pm - 3:00pm
Location:
Zoom
Instructor(s):
Sam Wilairat
Categories:
Data Science Discussion Groups