The interventions catalog
PL R&D helps frontier ideas move from open research to deployment — one field-level constraint at a time. Browse the public programs below, or read how we choose the work.
How we choose our interventions →Draft-source examples. Not approved commitments.
9 published examples. Draft-source programs, labeled as proposed — not a verified active inventory.
Help national institutions turn open models into useful, locally maintained AI capability.
Give public institutions credible evidence for AI adoption decisions.
Make participatory decision tools easier to adopt, evaluate, and maintain.
Develop shared research and evaluated AI tools for environmental institutions.
Make credible evaluation more useful and affordable.
Make connectome reconstruction a measurable, competitive AI problem.
Create a primate reference dataset that tests long-range tracing.
Give AI researchers well-defined neuroscience problems they can work on.
Build shared simulation infrastructure after a discovery target is proven.
Public types here follow the FA2 draft vocabulary. See the methodology for how they relate to the Console toolkit.