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1 session on February 26, 2027
We want to make our events accessible to all participants. CART captioning services will be provided for the panel conversation. If you anticipate needing additional accommodations to participate, please email Cherice Chan at chericec@umich.edu.
1 session on March 24, 2027
Focus: Using AI to critically assess outputs, check reasoning, and strengthen trust in findings.
Description:
This session would focus on using AI as a tool for review rather than solely for generation. Participants would practice checking results for plausibility, identifying possible errors or overclaims, and building habits for validation and reproducibility. This is especially important for avoiding misplaced confidence in AI-assisted work.
Possible hands-on activities:
Ask AI to critique an interpretation of findingsCross-check whether a result matches the stated method or assumptionsGenerate a validation checklist for an analysis workflowIdentify possible sources of bias, confounding, or errorReview examples of flawed outputs and discuss how to catch them
Description:
This session would focus on using AI as a tool for review rather than solely for generation. Participants would practice checking results for plausibility, identifying possible errors or overclaims, and building habits for validation and reproducibility. This is especially important for avoiding misplaced confidence in AI-assisted work.
Possible hands-on activities:
Ask AI to critique an interpretation of findingsCross-check whether a result matches the stated method or assumptionsGenerate a validation checklist for an analysis workflowIdentify possible sources of bias, confounding, or errorReview examples of flawed outputs and discuss how to catch them
1 session on April 8, 2027
Focus: Using AI to communicate research clearly to different audiences.
Description:
This session would explore how AI can help researchers translate technical work into accessible and audience-appropriate communication. Participants would practice adapting the same core findings for different settings, such as collaborators, community partners, students, leadership, or public-facing summaries.
Possible hands-on activities:
Turn a technical summary into plain-language prose
Draft a short abstract, presentation blurb, or project update
Reframe the same findings for academic vs. non-academic audiences
Generate slide outlines or talking points from key results
Create a first draft of documentation, FAQs, or knowledge-transfer notes
Description:
This session would explore how AI can help researchers translate technical work into accessible and audience-appropriate communication. Participants would practice adapting the same core findings for different settings, such as collaborators, community partners, students, leadership, or public-facing summaries.
Possible hands-on activities:
Turn a technical summary into plain-language prose
Draft a short abstract, presentation blurb, or project update
Reframe the same findings for academic vs. non-academic audiences
Generate slide outlines or talking points from key results
Create a first draft of documentation, FAQs, or knowledge-transfer notes
1 session on April 8, 2027
Sarah Imhoff (she/her) is the Jay and Jeanie Schottenstein Chair in Jewish Studies and Associate Professor in the Department of Religious Studies and the Borns Jewish Studies Program at Indiana University. She writes about religion and the body with a particular interest in gender, sexuality, disability, and American religion, as well as maintaining a research specialty in religion and law. She is author of Masculinity and the Making of American Judaism (Indiana University Press, 2017) and The Lives of Jessie Sampter: Queer, Disabled, Zionist (Duke University Press, 2022). She is the founding co-editor of the journal American Religion.