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About the stipend
The University of Arizona Libraries is looking to sponsor UA-affiliated graduate students looking to teach workshops online or in-person for the Fall and Spring semesters. Successful applicants will receive a $600 stipend in exchange for teaching two workshops within the Fall or Spring semester.
Workshops should be related to the following topics and developed for a general campus audience with a variety of experience with technology:
- Artificial intelligence tools
- Digital research methods
- Data visualization
- Coding languages
- Data mining and/or analysis
- Music and/or art technologies
- Archival practices
Eligibility
You can apply if you're a graduate student of the University of Arizona.
Submission guidelines
Your workshop proposal should include the following:
- A full description of the workshop including any planned learning activities for participants, teaching objects you will create (slides, handouts, etc.), and an outline of topics to be covered. Be sure to indicate if your plan is to teach a two-part workshop, repeated workshops, or unique sessions. Include the estimated length of the workshop(s) which should not exceed 90 minutes for each session.
- Describe the learning outcomes for the session including the skills and knowledge you would like the audience to take away.
- Explain how you are uniquely qualified to teach this workshop including if you have prior experience teaching. Tell us if this workshop relates to your current grad program or professional activities and experience.
- Include details on whether the workshops will be in-person, virtual, or a mix of both. Virtual workshops are preferred. If your proposal is for an in-person or hybrid workshop make sure to include justification details for why.
How to apply
Submit your proposal for Fall 2026
Please upload the following documents with your application:
- Proposal for workshop (1000 words max.)
- Current C.V. or resume
Past workshops examples
Fall 2025
- Aaron Escamilla — "Exploring AI Tools for Research and Creativity"
- Maya Bernstein-Schalet — “The Investigative Researcher’s Toolkit”
Spring 2026
- Amal Yousseef — "AI as Research Partner: Mastering Prompt Engineering for Research and Study" and "Commit to Success: Using Git for Code Maintenance"
- Yanghuan Yu — "Design Better Research Posters: Graphic Design Basics for Clear Scientific Communication"
- Yuwei Wang — "Using AI as a Learning Partner: Python Programming for Absolute Beginners"
Contact
Applicants can contact Maliaca Oxnam for more information or questions.