036
THE LAB
SECTION 11
ISSUE 001
OBSERVEDresearchnowconfidence / high
Biological Uncertainty Atlases
Create public atlases showing where biological foundation models are confident, wrong, underrepresented, or untested across species, ancestries, sequence types, and experimental conditions. These maps would guide data collection and funding, turning uncertainty from a footnote into shared infrastructure for safer discovery and equitable translational research.
Why this idea is here
What the evidence establishes.
NIH prioritizes reusable, representative biomedical data; current genome models claim broad scope that now needs systematic boundary mapping.
Source ledger
Read the sources.
- S01NIH Strategic Plan for Data Science 2025–2030
official strategy / dated 2025-05 / retrieved 2026-07-09
- S02Genome Modelling and Design Across All Domains of Life with Evo 2
peer-reviewed primary research / dated 2026 / retrieved 2026-07-09