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- Hopkins AI Lab for Data-driven Research: Opportunities, Challenges, and Best Practices: Part II
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Hopkins AI Lab for Data-driven Research: Opportunities, Challenges, and Best Practices: Part II
Join Data Services to explore how the Hopkins AI Lab can support your data-driven research. In this session, the final of our two-part workshop, we will explore the practical applications of the generative AI tool provided by Johns Hopkins for accessing, analyzing, cleaning, and visualizing data. This session will highlight AI’s potential to increase productivity, in addition to the limitations and considerations that users should be aware of when using an AI tool in a research context.This workshop is designed for researchers and students working with data in any discipline. No prior experience with AI tools is required.
Instructor(s): Chen Chiu & Pete Lawson
Registration link: https://jhu.libcal.com/event/15066006
- Date:
- Wednesday, October 29, 2025
- Time:
- 12:00pm - 1:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Online Class - Zoom link provided by Data Services
- Categories:
- Data Science JHU Data Services
Instructor
Data Services