Social Reward Processing

Description from DukeHub

Bass Connections Year-long Project Team. Topics vary by semester and section. Interdisciplinary teams of students work with faculty to build connections between neuroscience and socially challenging questions rooted in policy, economics, ethics, law, the humanities and/or healthcare. Teams may include external partners. A team's work may parallel or contribute to ongoing faculty-initiated research. Teams will participate in seminars, data collection and analysis, lab work, field work, and other relevant learning, research or service experiences. Requires final paper or product containing significant analysis and interpretation. Instructor consent required.

Skills

• policy and lawdescription: "policy" and 1 more
• research methodsAI review: "data collection and analysis"

AI-resilient: 3 of 5 3/5

• ✓Yes: Physical, lab or field work · "lab"
• ✓Yes: Live work with people · "team"
• ✓Yes: Judgment someone is accountable for · "policy"
• 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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