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.
7 published examples. Draft-source programs, labeled as proposed — not a verified active inventory.
Give public institutions credible evidence for AI adoption decisions.
Turn public-goods research conversations into sustained collaborations.
Make credible evaluation more useful and affordable.
Make connectome reconstruction a measurable, competitive AI problem.
Test whether neural simulation can predict a new biological result.
Make a large-scale connectome program technically and financially credible.
Give AI researchers well-defined neuroscience problems they can work on.
Public types here follow the FA2 draft vocabulary. See the methodology for how they relate to the Console toolkit.