Neuroscience Independent Scholarship 1: Advanced Topics

Description from DukeHub

Readings, discussion, and synthesis of knowledge in a domain of special interest, under the supervision of a Neuroscience faculty member, through weekly meetings. Students produce a substantive, deliverable product by the end of the term that could be a written paper, a multimedia project, a website, an exhibition or performance, or some other original scholarly work that results from multiple iterations of draft, review, incorporation of feedback, and re-synthesis. Intended for students interested in exploring in depth specific topics not covered or only introduced in regularly available Neuroscience courses. Consent from the director of undergraduate studies is required.

Skills

• research methodsAI review: "multiple iterations of draft, review, incorporation of feedback, and re-synthesis"

AI-resilient: 0 of 5 0/5

• No: Physical, lab or field work
• No: Live work with people
• No: Judgment someone is accountable for
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

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