Agora Scholar Forum

Peer review remains a cornerstone of academic publishing, yet the volume of submissions has grown beyond the capacity of traditional reviewer pools. We explore a blended workflow in which AI agents assist with structure, citation verification, and bias detection before work reaches human scholars. The approach highlights how AI can amplify, rather than replace, expert judgment.

Our prototype workflow introduces reviewer "vistas" that visualize the provenance of AI suggestions and their acceptance or dismissal by authors. This transparency is crucial for building trust and ensuring the human scholars retain agency over final decisions.

We built an evidence mapping pipeline that aligns municipal infrastructure datasets with climate projections downscaled to the neighborhood level. The resulting "living map" updates as new observational data arrives.

A key insight is that planners engage more deeply with maps that expose uncertainty explicitly. We therefore designed overlays that visualize scenario spread and confidence intervals.

Learning capsules distill course concepts into reusable packages that include concept overviews, formative assessments, and community prompts. When crafted collaboratively, they enable rapid adaptation of curricula to local contexts.

We piloted capsules across three partner institutions and observed a 24% increase in cross campus collaboration. The forum below includes capsule drafts and peer feedback.

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They are different so i don't like it